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Preparing a very short presentation for a PhD interview
I have an interview for a PhD position for which I have to create a presentation. They say:

In this first stage interview you will be asked to give a four minute presentation on a project you have recently been involved and your suitability for this Ph.D. This will be followed by around 10-15 minutes of general questions from the panel.

My English is not very well and the interview is in English.
Does anyone know how I should create a presentation? What topic I have to mention it?
What are their possible questions?

My recommendation for slides technology is LaTeX beamer. But that is just technology. The interview is to evaluate your oral communication skills (not mostly your English skills). Study existing slides of your field for preparing that

A mistake (especially by beginners) is to have too much material for the time allotted.

This is not answerable as a Stackexchange question, but I would add to what others have said - 4 minutes is a REALLY SHORT TIME, so you should be prepared for that, not include too much content, and have planned out exactly what you want to say (but not scripted, unless your level of English makes that unavoidable)

It sound like you need to give an elevator pitch with slides. Short presentations are tough! You need to follow their instructions exactly and describe both a project and your fit to the program. You need to have this in mind: this is a sales pitch, so be short and to the point.
The objective is to sell yourself, so details on the project matter less than how you contributed in a way that’s relevant to the PhD program you’re applying to. So if your program is on graphic design focus on how your designs were used in the project, if it’s programming, focus on your code contribution etc.
In the part about you, try to show that you’ll be an amazing fit to the program: high-level plans, your agenda, your vision etc. you need to convince the committee that you’ll be a valuable asset to the program.
You must practice your talk several times till it’s perfect, and ask your friends to listen to it!
While conference talks are different, I highly recommend Simon Peyton Jones’ advice on how to give great talks, here: https://www.microsoft.com/en-us/research/academic-program/give-great-research-talk/
Good luck!

The goal of this type of presentation is to allow your audience to see and hear your current level of communication skills along and your professional interests as they relate to research. The nature of PhD application packets is they are surprisingly large, yet surprisingly low on clear, reliable information content. This is a great opportunity to make up for that fundamental weakness in the system.
One big issue for the people interviewing you is that many people have a CV that probably looks a lot like yours in many ways. Lots of people mention they had some previous experience with a project of some kind, and it is completely unclear what their actual involvement was. So this is your chance to make it so they have a much clearer understanding of what your level of involvement and understanding of that project was.
Questions to Prepare For
There is no standard script, but you should prepare to answer questions like:

What part of this project was the most challenging/hard/interesting?
If you were going to do this project again, what would you do differently?
Is this project the kind you would like to work on in the future?
Do you have any experience with X? (you may have never heard of that before, ask if you don't know)
Tell us more about your experience with X? (where X is generally pulled directly from your CV or personal statement - you should be prepared to talk in more detail about anything you put in your application materials)
Why did you choose [some aspect of the project]? Ex: Why did you use multiple t-tests in the analysis (if you did stats)? Why did you make this as a web/phone application? Why did you choose to focus on revolutions in the 15th century? etc
If you had your choice to work on any type of project in your first semester in the program here, what would you work on?
Do you have any questions for us? (you don't have to have any)

They will not necessarily ask any/all of these questions - but I would expect you to be able to answer any of them on the spot reasonably well in such an interview.
General Short Presentation Outline
You can reorder things as you like, but in general I would expect for a short talk of only 4 minutes that you would cover:

~30 seconds: basic intro of yourself like name, university and major you are coming from, and where you work if you are not coming  directly from college (and assuming it is relevant to research - no need to mention if you are working in a restaurant now, for example)
~30 seconds: background/motivation for the project you are talking about. Why was this project done, what reason would there be for anyone to care about it?
~1 minute: what you did on the project
~1 minute: what was the big takeaway, lesson learned, result, impact, whatever
~1 minute: how do you think this project (and or other projects you've done) prepare you for advanced studies? It should be clear how the skills and interests involved in this project directly relate to what you want to do during your graduate studies

Quick Tips
The hardest part of short presentations is just how short they are. Generally I find I need to prepare double the material, or enough for about a 10 minute talk on my first personal practice attempt, to start with. Then I have to cut, cut, cut, and revise to get it down to 5 minutes, and that ends up being too much. You know it's too much when as you look at the time while you practice you feel you have to rush because you are running out of time. Don't rush - remove material.
I find it helpful to say the talk out loud quietly to myself, with a stopwatch running (clock app on your phone/computer works fine for this). This helps you practice what you want to say and how long it takes. The timing dictates you do not have time to get into very low levels of detail, because there is too much you would have to say - that's how these talks work, if they want details they will ask.
The project you pick should be as clearly related to your reasons for applying for a PhD and wanting to do research as possible. Applying for a Computer Science program to work in computer vision and then presenting a group project where you did a literature review for the historical legacy of Marxism in Eastern Europe would be...hard to pull off well.
Finally, do not worry about your English skills. Seriously. Focus on clarity of your communication, taking deep breaths to calm yourself before the interview helps most people, and try to speak in a steady and clear way. Many students are not especially confident English speakers, and in fact there are often professors at most Universities that aren't either. No one is tut-tutting your grammar or demanding you use exactly the right word for everything. Besides, your current level of skill is just your current level of skill - there really isn't any hiding it, so no sense in trying. Just try to be clear, speak in a measured and calm way, and this will help both you and your audience to get what they need from the presentation.
Oh, and one last thing, in case it may help - no one expects perfection here. Academics, as a group, give some of the worst presentations on the planet, even at very high levels of achievement and seniority. I have seen middle-school students give presentations that were more clear and pleasant than some of the talks given at the most prestigious conferences in the field by highly accomplished authors. This is not a TED talk, you are not interviewing to be an entertainer or orator. Focus on clarity and telling a story that shows you have applicable skills and reasonable, thought-out, applicable interests to the program you have applied to, and you will be fine. You will have to prepare and practice, but it should not be seen as a great obstacle - its just a chance to talk about one piece of your experience and your interests in a way that would be otherwise impossible to communicate in a typical 2 page application statement.

They told you what your ppt needs to be about:
Part 1. A project you were part of,
Part 2. Why you are a suitable candidate for the phd.
So a slide of intro, some slides of a project then some slides of motivation and close...
As for asking what are their possible questions - that has so many possibilities:
Questions about project ie points that were unclear,
Questions about you & motivation
Questions about your education so far
The list goes on.

thank you
how many slid do I need for four minutes?

You need to decide - more than 4 but too many means they don’t have time to look at them.

@Roland there may be some images that warrant an extra slide for the project... And given the interview is next Monday, that means the OP does not have much time to craft the presentation and get some practice in...

@Roland Why not put an answer forward to help the OP?

@Roland "Next Monday is plenty of time" - I would agree - if you are already skilled at giving presentations to that level... I have a feeling that the OP may not be, especially given some of the errors in the original post (i & I etc). Those errors have just been hidden by the edit...

More than four slides as for this is not a talk. Focus of audience will be on candidate and his/her potential and motivation. No one expect a skilled presenter but rather an enthusiast though cool young persons. It then depends on the actual candidate.  Asking in practice a former supervisor or teacher would be a good idea


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How to reuse/cite your paper in your thesis when both have same topic
I’m writing my thesis and I submitted a paper on the same topic to a conference, where it got accepted. However, the contents such as methods, results, and conclusion are identical in text, i.e. I copy pasted the content from thesis to the paper.
Now I want to submit my thesis but I suppose it is self-plagiarism if I don't cite my paper. My question is, can use the same content in my thesis and paper if yes then how do I mention that content is reused? or should I rephrase my complete thesis now and then cite paper? But if I rephrase then how about the experiment results and figures? should I cite paper there as well?

Consult your institution's thesis style guide.  Sometimes the answer is in there.

In a similar situation, I was told to put "Portions of Chapters 1, 2, and 9 are  based on material that appeared in ..." in the acknowledgements section of my dissertation.'

Now I want to submit my thesis but I suppose it is self-plagiarism if I don't cite my paper.

Self-plagiarism isn't relevant here, your thesis isn't considered published.

My question is, can use the same content in my thesis

Yes.

then how do I mention that content is reused?

You can mention something along the lines of: This manuscript is based upon my PhD thesis [1].

or should I rephrase my complete thesis now

There's no need.

But if I rephrase then how about the experiment results and figures?

Again, there's no need.

should I cite paper there as well?

Citing your thesis once suffices.

The question is about citing the conference paper in the thesis, not about citing the thesis in the paper.

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Novelty of a research paper
Suppose I found out an algorithm/theorem, which is easy to understand and may be easy for the experts in the field to get it (with either same or different language). But after literature survey, If I strongly came to know that it is not yet published anywhere. Can I send my paper to the reputed journal for reviewing?
In concise, my doubt is whether the novelty of a research paper refers to the novelty with respect to the existing literature or has to be completely new in that field such that hard to reach it.

If all the experts know about something it seems unlikely that it's not published anywhere. Where did they learn it from? Did they all derive it independently (and no one bothered to publish it)?

I do not mean every expert is aware of that. I mean that the experts can reach it without much work.

That's a quite different statement, especially when you are  asking about novelty. You are explicitly asking about people knowing, not about how hard it is to derive.

@fqq Edited accordingly..

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How do I cite programming manuals and software user guides in IEEE
I have seen posts on citing documents, but none of them have specified IEEE format in particular. So here is my question. How do I cite technical reference manuals and software user guides in the IEEE format for references?

Which IEEE journal or conference are you writing this paper for? That venue's site should have instructions on details beyond simply using the IEEE citation style in LaTeX.

I am writing my Masters thesis

I would talk to your school then. They will have further information, but I doubt they care too much one way or the other as long as it looks presentable.

The IEEE Style guide gives the following format for citing reports:

The general form for citing technical reports is to place the name and location of the company or institution after the
  author and title and to give the report number and date at the end of the reference.
  Basic Format:
[1] J. K. Author, “Title of report,” Abbrev. Name of Co., City of Co., Abbrev. State, Country, Rep. xxx, year

For handbooks:

[1] Name of Manual/Handbook, x ed., Abbrev. Name of Co., City of Co., Abbrev. State, year, pp. xx-xx.

And online sources:

[1] J. K. Author. (year, month day). Title (edition) [Type of medium]. Available: http://www.(URL)

For example:

[1] J. Jones. (1991, May 10). Networks (2nd ed.) [Online]. Available: http://www.atm.com

Examples for manuals/software:

[1] L. Breimann. (2003). Manual on Setting Up, Using, and Understanding Random Forests v4.0. [Online].
  Available: http://oz.berkeley.edu/users/breiman/Using_random_forests_v4.0.pdf, Accessed on: Apr. 16,
  2014.
[2] M. Kuhn. The Caret Package. (2012) [Online]. Available: http://cranr-project.org/web/packages/caret/caret.pdf

Side note: this answer comments that in BibLatex you can use @software to generate the correctly formed citation. I'm not sure however if this is supported by the IEEE style templates.

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How do I go about publishing my late father’s legacy papers?
My father wrote some papers on cosmology that remained unpublished at the time of his death.
I have been looking for a publisher for them. I contacted IOP publishing but they said that, while Dad’s writings were interesting, they were not ready for publishing in any of their journals.
For example, they need a reference list citing other current published research on the same topic.
I am not a scientist and have no idea how to do this. Where can I get help with this? Would something like American Journal Experts be a good idea?

This depends on a lot of factors.

Was your father a professor?
Had he published any papers before?  With coauthors, or only by himself?
If he had been a professor, are there any former graduate students of his that are still active?

In addition to @zibadawatimmy's questions, was he corresponding with any cosmologists? You may be able to find letters or e-mails.

I think it's Wasley Krogdahl who was a professor of astronomy at University of Kentucky. Tina, have you approached the department about whether someone would be willing look at the papers?

Note that you can (and should) [edit] your question if you can make clarifications addressing the above comments.

Related: Posthumous Publication

All--Thank you for your comments and suggestions. Yes, my father was Wasley Krogdahl, who taught at the University of Kentucky. I guess my next step is to contact his colleagues at UK and get their feedback. Thanks, all. Merry Christmas, Happy Hanukkah, Season's Greetings. www.hereticalcosmology.com
Tina Krogdahl

https://academia.stackexchange.com/questions/137447/a-famous-scholar-sent-me-an-unpublished-draft-of-hers-then-she-died-i-think-he?r=SearchResults&s=1|35.4051

Where can I get help with this?

You could try asking his colleagues or other professional acquaintances (including past coauthors of his), or former graduate students.  Even if they can't help, they may be able to direct you to more appropriate people.
If you can't track down any relevant individuals, you could try asking the current chair of his former department or trying to contact someone at any relevant professional societies he was a member of.  They probably couldn't help directly, but they could try to put you in touch with those who could.  It's not really their job to do this, so there are no guarantees, but I bet they would be sympathetic.

Would something like American Journal Experts be a good idea?

Almost certainly not.  This seems to be a company that offers editing and formatting assistance for papers, which isn't really the issue here.  Rather, you need scientific assistance from someone who knows the research area well (to help flesh out the ideas and connect them with the literature), and it's not likely that any company can offer that.

I contacted IOP publishing but they said that, while Dad’s writings were interesting, they were not ready for publishing in any of their journals. For example, they need a reference list citing other current published research on the same topic.

It's hard to know what to make of this.  One possibility is that the papers were unfinished but just need a little more work, and someone could complete them without great difficulty.  Another possibility is that the papers were only fragmentary, with interesting ideas that still require major work.  In that case, they are unlikely to be published in their present form but might still inspire further work (which should credit your father).  A third possibility is that these writings are not really suitable for publication, and the editor was just being polite and focusing on the most objective reason.
If you are unable to get the papers formally published, you may still be able to make them available and permanently archive them through the arXiv.  This is a web site that offers open access to research papers in physics, among other fields.  It would ensure that your father's work is not forgotten.
Assuming your father's name is also Krogdahl, he has two papers on the arXiv.  If you decide to try posting his more recent writings, I'd strongly recommend first consulting with someone in the field (such as a former colleague) about what is worth posting and how to do so, as well as getting in touch with the arXiv administrators.  The arXiv is a little finicky about various aspects of submissions, so it's best to handle things carefully.

+1 for suggesting the arXiv. Even if you decide not to publish them elsewhere, posting them to the arXiv would be valuable to the community and a nice way to help document your father's intellectual legacy.

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Bachelors in computer science and wanting a masters?
I graduated with a 2.98gpa in computer science with a minor in math. I am currently employed as a software engineer and I am wanting to go back to school for a masters degree. I would really like to Perdue a professional engineering masters and take the PE(professional engineering exam) after I graduate.
 Is it even possible to go from a computer science bachelors degree to a masters program in systems engineering or computer engineering?  I am currently looking at the university of Alabama in Huntsville. I want a masters degree, but I don't specifically care to stick with computer science. I am wanting to broaden my horizons and prepare myself for a role in management in the future.

The bad news is that your grades are only so-so. The good news is that you found a job in your field. Your job may become your best "reference."
To take full advantage of that, I wouldn't think about going back to school immediately, but after three years on the job (the optimal time). Then you will have "work experience" and "maturity" to offer, over then newly graduated students with higher GPAs, having put some distance between your application and your lackluster academic career.
To further strengthen your credentials, you might take one course a semester at university as a "special student, five or six in total, in your relevant area of study.

Good advice! Here we are 2 years later and I graduate with my master's degree in computer science from a state school tomorrow!

@TravisTubbs: Congratulations. I'm glad to hear my advice helped.

It's going to be up to the school.  Contact the institution(s) you are interested in and ask.  Some schools will have stronger or weaker requirements, some may require you to take additional classes, some wont.

You can get a lot out of university advisement, but the most important thing is to figure out what degree program fits your interests.  Read the programs of study and course descriptions carefully.
If the program you are interested in has some prerequisites that you haven't taken, then consider working your way through those as an unmatriculated student, one course at a time, while you are still employed, before applying to grad school.  When you are ready to apply, you can submit a transcript showing these individual courses, to supplement your Bachelor's transcript.


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Recommendation letter for a good student that you don't know?
Let say you a professor and there are lots of students, say 100 in your course. After the exam, a student whose final mark is, say 85/100, sends you an email to ask you for a recommendation letter. Assuming that you don't know him, or just remember that he went to your lecture some times (of course you can check his mark). Will you write a recommendation letter for him?

What would you write in such a letter? "To whom it may concern: Jane earned 85/100 in my Intermediate Basket Weaving course. Sincerely, Professor ff524." That's not going to help Jane get accepted to graduate school.

How difficult was it to get 85/100? What do students have to be able to cope with for this?

@CaptainEmacs: It's actually a graduate math course and reputably difficult to get high mark, I guess less than 10% of students. So, hard working is not enough.

Well, then you can make that statement to clarify what the mark means. The whole point is that 85/100 means very little without context. Give context and, even if you do not know the student, you know more or less what needs to be achieved to get to that level.

As ff524 said, if the professor has only the grade to go on, there is little to write an recommendation letter about. The only situation I an think of where this would be very relevant is:

if the course is an essential test for further studies. Doing an American undergraduate with a mathematics major might only have a few courses that are really challenging your abstract thinking skills. Doing well in those courses might be a good predictor of doing well in further studies.
there were other students that got similar scores in that course and went on to do well in further studies. Best case scenario: last year the same university accepted a student who got an 80-84 in this course.

So both the course needs to be very relevant for the further studies you are considering and the grade itself should be high enough as to clearly predict success in those further studies. If either is not the case (the course is one of many, or your grade is just not exceptional), the professor simply can't write a good recommendation letter, regardless of how willing (s)he would be.

your second situation sounds reasonable. But in that case, what could that professor write?, or just like ff524 said?

What ff524 wrote. Or just tell you that they can't write you a recommendation letter as described above

I can identify three scenarios.
The first is that the student's 85 is in the "middle" of the class, and there was nothing else memorable about the student's performance. There is no reason for the professor to "know" this student or write a recommendation.
The second is that the student got a 95 (or better) and was the top student in the class. Here, the professor is likely to know him or her, and could write a good recommendation. (I once got a 98 in a class, knew things that others didn't know, and was pleased to have the professor remember me 25 years later.)
The third situation is where the student got an 85, an "average" grade, with extenuating circumstances such as impaired vision or some other physical handicap, or temporary but severe psychological problems. Here, the professor is in a position to vouch for "extenuating circumstances" and the fact that the student is probably better than the 85 grade implies.


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What can I do when a TA asks me to marry her so that she can obtain a green card?
This pertains to an American university graduate program.
A TA recently surprised me with a proposition to marry her (we've neither dated nor hooked up), so that she could obtain a green card to stay in the United States -- she wants to leave the STEM fields and go into the creative / artsy stuff (eg, dreams of having a creative career in Los Angeles), which means she likely won't earn a work visa to stay in the US.
She essentially offered a blank check from her family, so long as the amount is less than the investment green card amount of 500k dollars (something that I did not know even existed).
My question is: putting aside legal, personal and ethical questions, what are the academic implications of this situation? At what point could I get into trouble with the university; from having such discussions with her or later, if I actually did something?  Could I be dismissed from the university or have my degree revoked later on?  What about implications regarding any funding that I might have from the university or from the government (eg, grants, loans)?
Edit:  Thanks to those offering marriage strategies and interpretations of the law, but I had hoped to stay on-topic and focus on the academic implications.  Currently, I am reduced to voting for an on-topic answer that I have some qualms about, since, as mentioned in Dan Romik's comments, the answerer focuses on reporting harassment, when I have not been harassed at all.  Perhaps the community can vote to reopen the question to allow for more, on-topic answers.

If you don't mind paying a $250K fine and going to prison for five years, I assume a bit of trouble from the university won't really be that much of a deterrent.

What is your role in the university?  The question does not specify if you are her supervisor, or she is teaching you, or something else.

Well, first the obvious question.  Is she cute?  That aside, why not suggest to her she stick to the STEM fields while trying to attain citizenship a legal route.  If that fails, she could always try to find someone she is romantically attracted to get married, and kill two birds with one stone.      Personally, I cannot believe anyone in Academia worth a damned would attempt to pull this stunt.

I remember the series House MD, where he did the same thing for a girl and I think he went into trouble later. I recommend watching those episodes

I wonder: would this qualify as sexual harassment (by the TA against the OP)?  In short, as Dan implies, the implications with the university are the least of your worries.  The definitely or possibly illegal things that are going on here are a much bigger concern.

Are there any conjugal benefits thrown in to sweeten the deal?

@Roland The OP seems to have assumed that the main problem would be with university policies, which is about academia, and was  probably not aware of the federal felony aspect.

@zibadawatimmy offer was in no way sexual, so it's not sexual harassment. It may be "incitement to commit a crime", punishable in most jurisdictions, though.

Unless you intend to stay married it's definitely visa fraud.

You can also get screwed later with the divorce. Technically, you share everything after being married.

This is "bad idea" writ large.

How come you're willing to marry someone you don't love ?

@user230452 Western civilization has long tradition of marrying without love. Things like dynasty, not willing to be alone, gaining reputation (married man have much higher chance to become president, for example) or even simply money played a significant role for ages, quite literally. Love and marriage is not something that goes together, it's only a comfortable lie for children and noble, but often not achievable dream.

Why is everyone assuming OP wants to accept? The question clearly states “Could I get into trouble with the university from having such discussions with her?“ that's a different question ..

I'm voting to close this question as off-topic because it's a legal question, not particular to academia.

There is not enough information here. What kinds of "discussions" are you asking about? Are you intending to get more information out of her to dissuade her? Do you mean to get more information before you move forward and take the proposal seriously? Does "discussions" mean saying no to her and leaving it at that? What is your goal here? And the best answers to any of these could also depend on what your relationship to the TA. The consequences for a faculty member would be different than a student.

@the_lotus prenup?

I cast the final vote, and apparently I clicked the wrong close reason... it should have been "because this is not relevant to academia". My fault.

I'm trying to understand what you want answers to focus on.You want to know what sort of trouble you could conceivably get into (both in terms of academic standing and funding) if...what? If you said to her, "Sure, let's get married and live together as allies in this endeavor," but then your efforts were to fail and the marriage were deemed bogus for immigration purposes? I hope you realize you wouldn't get an interview appointment for quite some time, and you'd be going to extraordinary efforts for months. Did my answer not convince you that the chances of succeeding with this are miniscule?

@aparente001, I am grateful for your detailed answer and additional links to refer to, but it is actually an off-topic answer that addresses marriage strategy and legal issues of the TA's proposition.  I want to focus on the academic implications, as I noted in the Edit to my question.

Yes, I saw your edit, and I really am trying to understand what you actually want the answer to focus on.  For the purposes of your question, should I assume that you accept her proposal, make a sincere effort to make it work, but then the USCIS says they don't believe the two of you got married for the usual reasons (as opposed to a plot to obtain a green card)?

@aparente001 (4 years later but) good question!

You haven't specified what you role is in this university. If you are a professor/lecturer/instructor, then you are one level of power ahead of her, and any romantic or sexual involvement can be considered as harassment and can lead you to a huge problem and potential job loss. Moreover, it is highly unethical, as there is a power difference between both of you.
If you are a student of her, then she holds the power in your relationship, and so you could contact the Title IX office and claim she is harassing you because of such approximations.
In any case, as it has been already commented, her suggestion is something totally illegal, apart from unethical and irresponsible.

"If you are a student of her, then she holds the power in your relationship, and so you could contact the Title IX office and claim she is harassing you because of such approximations" A bit off-topic, but I find the mindset implicit in this sentence quite disturbing: OP clearly does not feel harassed, so why are you advising him of his rights to complain about harassment? It seems that you take the view that in any relationship involving a power differential, the "lower power" party must necessarily feel harassed or made to feel shamed or guilty for participating in unethical conduct. ...

... But while there is certainly a potential for harrassment, such situations could involve a completely legitimate and sincere mutual attraction (e.g. a friend of mine dated and later married and had kids with a woman in the class he was TAing for; he did wait until the end of the semester before asking her out). So let's keep some perspective about such things and not view everything through the prism of harassment. To clarify, I'm speaking generally here, not about OP's particular and very unique situation.

@DanRomik Technically, sexual harassment suits do not have to be brought by the immediately involved parties.  The EEOC's guidance on the matter says "The victim does not have to be the person harassed but could be anyone affected by the offensive conduct."  It does mention that the harasser's actions have to be "unwelcome", but does not seem to specify to whom it is unwelcome; the previous line would suggest it suffices for it to be unwelcome to someone who is affected by it, even if indirectly. Still a stretch for the OP's situation...

+1 since unlike all the other answers, this one addresses the academic implications, and thus is actually within the scope of this site.

@Nate Yes, I am also surprised about the amount of unprofessional/unacademic advice in this is thread.

Thanks for your answer, Anna; I think that, based on the comments and answers given here over the last half-day or so, I will select your answer, primarily because it is on-topic (eg, academic implications) -- although I do have to agree with @DanRomik's comments...

Well, I didn't want to accuse anyone of harassment, but rather discuss the academic-context implications that the story may have. I am sorry if I came out as an accuser. However, I think that, if someone is willing to take the huge risk of marrying for a green card, then they are also likely to play dirty game in other contexts (accusing someone else of harassment, not taking a "no" for a response, etc.) so I felt like I needed to point out the resources you have in an academic context if the situation goes out of hand.

@AnnaSdTC ah, excellent points...

Basically whoever/whomever is higher is the harasser because 'I'm allowed to sexually harass my boss' ? (in the case the joke/heuristic is not understood: the character allison i guess is making the claim that 'if you don't date me, then our working relationship is over' is harassment from employer to employee but not harassment from employee to employer' [and i guess there's no comment for co-employee to co-employee] )

I am a U.S. citizen and happen to have a foreign spouse, so I've had some personal experience with this.
It could conceivably work if the two of you had known each other intimately for some time, even if you had a George Bernard Shaw, separate bedrooms kind of relationship.  But if you are just acquaintances, it is unlikely the two of you would get through the interview process successfully.  In separate interviews, you would be asked an unpredictable set of questions about your shared personal history.  There are sample interview questions posted online, e.g. https://www.usavisanow.com/marriage-green-card/marriage-green-card-faq/marriage-green-card-interview/ and http://www.alllaw.com/articles/nolo/us-immigration/what-happens-green-card-marriage-interview.html.
In addition, USCIS (formerly INS) would need to see documentation that your finances have been shared and inextricably intertwined for some time.
You could enjoy the fantasy together for an evening, with the Dépardieu film Green Card.

P.S. I have heard about a businessman's visa, which her budget might be enough for, but I don't know much about it.

Why don't these ethical dilemmas ever happen to me?

@NZKshatriya - Ha ha!  // But seriously, I don't see this as an ethical dilemma.  The plan would fail on the practicalities long before it became an ethical dilemma.

True, but I couldn't come up with a better term than ethical dilemma.  And since when do males in general let practicalities get in their/(our?) way.

Heh, I don't think the OP was approaching this from a romantic standpoint....

I, too, am a U.S. citizen with a foreign spouse who now has a green card.  She was interviewed in her home country by the USCIS, but I was not even though I filed all the paperwork myself (their only contact with me was sending the bill for each stage of the process...)  Of course, we were married and lived together in her home country for six years before I got homesick.  Her interview didn't go too well until she produced several photo albums of us and both of our families together from various trips when my parents spent time visiting us.

blank check is not reduced by $500k, it's capped at under $500k...

@KevinRubin - So glad to hear you got it straightened out without having to pay a lawyer an arm and a leg.

@Michael - I've taken that part out.  I think I was not reading the monetary part of your question properly.  Thanks for explaining.

@NZKshatriya just so i understand the joke: is that like a heterosexual male asking 'why didn't i have these female teachers back in school?' in response to news of (otherwise consensual) sexual relationships between (non-underage, so exclude student teachers and similar loopholes) heterosexual female teachers and underage male students?

Since you have posted the question on here already, it means that you actually thought about doing so with her.
I advise not to, as this is clearly illegal ("get married so she can get a green card"). This could result in being fined and put in jail as well (like one comment mentioned about it). See here for more information.
With Trump being the new President, things have gone in a hard way for international students who want to become US citizen to obtain a green card. She clearly does not have confidence in her academic ability to stay here, thus trying to lie to the government by "buying" a green card. You should not deal with liar like this.
P.s: I'm international student.

Well, currently in the USA discussions on less than legal topics are, well, legal.  Whether or not this will remain the case for long remains to be seen.  note:  I am completely politically biased, I despise both major parties equally :P

@NZKshatriya: But "conspiracy to commit " is a thing. If you discuss murdering someone and then that person ends up dead at the hand of the person you were talking to, and someone finds out, you're going to have a hard time. It's not as simple as "it's legal to have discussions".

@LightnessRacesinOrbit I'm no legal expert, but I was under the impression that you need to have actual plans for a conspiracy charge. I think "just talking" is at a lower level than that, and is not chargeable

@Shokhet  Exactly.  Discussing something that is illegal, and planning to do something that is illegal, are two different things.  There is a little thing called freedom of expression in the USA, and "just talking" still falls under that.....

@Shokhet: Right but the line between the two is extremely thin. NZK might be surprised to discover how not very far the "freedom of expression! USA! USA!" jingoism actually gets you when you've been hauled in for questioning. Of course, that misapprehension is no accident; it's all part of the propaganda machine that has been amazingly successful there over the last few hundred years. ;)

Well, I'm saying that "marrying her so she can get a green card" is illegal. It's probably because I'm not English native speaker so my sentence is not clear enough.

I'm going to more practical than the rest of the lot, and act as the 'devil's attorney'. In no way am I telling you to do something illegal. I'll be discussing a what if scenario, and maybe a possible book/film plot.
To marry there doesn't need to be love or any kind of other feelings. It'll depend on the amount of time she's willing to wait.
You definitely need to hook up with her, and have some sort of public relationship with her for at least 7-8 months. But by the way the world is heading, the youngsters these days don't even need to be publicly monogamous or faithful, so you'll just post on your face account something crass like as 'open relationship'.  Stay with her, go the public events, share several photos on facebook and instagram and all that other crp millennials do. You'll need to know her a lot better, create joint plans for the future(kids, work,etc), even if you do not plan to go ahead with them. You'll need to fake every aspect of a married life. The key is to not over-fantasize. Be truthful in your planning, so as to better sell the idea. Your parents cannot know. In fact, her family should also not know. Do this in a way that she tells her family that she's in fact in love with you, and it's not a matter of a green card. It must look the part in every way. Go to thanks-giving with her, and all that things. You'll need to sell it to your and her family also. Visit her family a few times. If someone tells anything, then it's over.
After 7-8 months together, tie the knot. Afterwards, you'll have to wait for at least a year, year and half, so as not to arouse suspicions. During that period, with some joint account, you start to transfer some small random amounts, in a random time frame, until you get it done. Most divorces happen in two-three years within marriage, in the last months of your arrangement, move out, pretend she was tired of your infidelities. Make it seem like a rough divorce, but not so rough as to make you really mad and spill the beans...
It's never been easier to fake a marriage as in the time we live in.
This would be feasible only for those who would be in it for the long-run, and who knows... you might in fact fall in love with her.

Addenda, if you cannot trust her, than no deal. Or you could be really devilish and say to her that you don't want her money, but instead would like to go out with her. I do not know your history with her, so maybe it's not feasible. Make her believe that you really love her. This would be the best way to be sure you won't go to jail... However, you might not get paid.

Addenda2: Honestly, I abhor this type of behaviour. And if someone was able to do this successfully with any serious hiccups, then it would be symptomatic of a serious fault in that person's character. She/he would devious/twisted (maybe a trace of sociopathy) to the point I would fear him/her.

"I'll be discussing a what if scenario, and maybe a possible book/film plot." Reminds me of the West Wing. "We are writing a very important Thanksgiving proclamation... and possibly a new action-adventure series."

The first green card for a spouse is temporary (2 years?) so you would have to wait out that time as well, until she got the condition removed and had a permanent green card.

@LightnessRacesinOrbit LOL

As others have pointed out, you could go to the stripy hole for that.
Her family seem to have enough money, so let’s think about that artsy business she wants. Who would be funding that? Obviously her family are going to have to put in a few $100k for that, if it ever manterializes.
So – for you: run, don’t walk, to the nearest exit. Tell her firmly that the answer so “NO”, and that you won’t discuss the matter again.
That’s all that you need to do – for you. You can stop reading right here.
If you want to help her, try to get it through to her why this is a bad idea. Even if she did find a mug, they could both end up in prison, years later when they had long forgotten their “harmless white lie”;  the marriage could be declared illegal & void, she could be deported (after leaving prison) and lose her lovely artsy business.
Perhaps if you explain it in those terms, her family will find that they can afford the full $500k to invest in the business and get her the green card.
(and I would not suggest to her that said business could do business with her family’s business back home, which benefits the family business to the tune of a few $100k ;-)

authors: Bob Jarvis - Слава Україні


text:
Phd admissions with strange academic record and multiple schools?
I am an undergraduate in my fourth and final year of getting a bachelor's degree. Next year I am thinking about applying to Phd programs in math (in any case I want to take a year between undergrad and grad school). However, I have a very questionable academic record in some respects.
My first year of college, I attended a liberal arts college known for its academic excellence. I did reasonably well the first semester, but the second semester I began to fall into a hole of depression and anxiety brought on what I will call a collision of being overwhelmed with coursework that I had never really been challenged by before and untreated brain stuff. I stopped going to class, stopped getting out of bed, and eventually ended up failing all of my classes that semester (like F fail).
I went back home and went to community college for the next year, and I got on medication for my brain stuff which, and this is not true in general but was and is true for me, was essentially a silver bullet that cured everything that was wrong with me and also unlocked a level of academic focus and ambition that I had literally never had before.
I was able to transfer to a state research university after one year of community college, and that is where I am now. I have a pretty/very good GPA, I have taken a lot of classes in the past two years because I keep on getting excited about things and I am on a very limited schedule (I have taken ~2 times the normal course load per quarter over the last few quarters). I have developed good relationships with faculty and have taken a couple of graduate classes, and I have taken or am taking pretty much the entire pure math undergraduate curriculum with more classes then required for the major. I haven't been able to take grad classes in math because I only have 2 years here though- the ones I have taken were in applied math and CS. I have the expectation that my GRE scores will be good enough, as I have taken a few practice tests and I am generally good at standardized testing.
Now to my actual question: how disqualifying is my first year of college, and do any of you have any suggestions as to how I would explain what happened, or even if I should attempt to explain?
I am willing to bite the bullet, but I will also say that I tend not to talk about that time in my life, or even really think about it. I am not the type of gal to dwell, and I thinking back to it is rather psychically painful. I have actually not mentioned the fact that I even went to the aforementioned liberal arts college to anyone at my current university as I have no interest in explicating the circumstances surrounding my exit from it. That is not to say that I feel that I am in danger of falling back into the same hole, just that I do not like to be reminded of my worst moments.
Thanks!

Since the minimalist approach feels right for you, I think that's the way you should go, i.e. don't bring it up; they'll figure it out. However, if someone asks you, I would give a brief explanation (e.g. "I had an undiagnosed condition which responded very well to treatment").  If they ask a second question, it would be fine to indicate that you don't like to dwell on unpleasant memories.  Then you could ask them something about their program (e.g. "I hope there will be an opportunity in this interview to find out more about____").  But I doubt you'll be asked.

If you'd be applying at a European university other than Oxbridge/ENS, you would not have any issues at all (my limited experience is comming from France though).

@aparente001 I appreciate the suggestion of keeping it unspecified, as in fact also one of my worries (which I forgot to mention in the initial post) is that admissions might also take it as a sign that I would be unable to cope with the increased pressure of a graduate program.

Well, legally, you don't have to disclose a disability when you're applying, and the general consensus in the disability community that I've seen is not to disclose at that stage. // At the same time, I'd like to reassure you that if it did come out, they would be stupid to let it affect their decision; and it would be unlikely that they would.  Still, if I were you, I would keep that card close to my chest. // Why don't you ask whether an interview is a standard part of the admissions process?  I personally have never experienced an interview for admissions, but that was a while ago.

I've sat on hiring committees (K-12) and I can't tell you how many transcripts like yours have come to the committees.  The pros sitting in the committees have always told me that poor academic performance early on is meaningless in the big picture. So I really think you could just let them imagine their own explanation, e.g. the candidate had a death in the family and had an academic disaster one semester.  But then she took a break, made a fresh start, and ended up making a resounding success of the Bachelor's.  Yay! She'll do great in our program, now let's go have lunch.

@MarkoKarbevski I should have mentioned this in the post, but I am in the US and will only be applying to US universities

I had a rough start to college and failed a couple of courses at the start but I bounced back. When applying to grad school I mentioned this in my statement letter briefly; just saying I had a rough start and I overcame it (unlike you I had no good reason). Things went fine.
It even helped me in one case because a skeptical professor decided to test me by sending me an exam that I had to send back in a few hours. This gave me an opportunity to impress her and she ended up offering me a very good scholarship.

I've had a somewhat similar rough start of college, with about three wasted years. I expected that it would very much be a problem as well. I'm now doing my masters and have a job that is very relevant to my field, and I've had some other relevant jobs as well.
In the interviews for those jobs, and during my application for my master, the subject of my unusual first years of college came to the table of course. However, I found that when you talk about it, it shows openness which is generally appreciated. What I also experienced, is that it can give you a good way to talk about how you have grown as a person and what you've learned from those experiences. In my case, it made me much more determined, and I could easily tell what I now am capable of, instead of focussing on what I was incapable of. It sounds like this could also hold for you! Because with your story about the load you're taking on, I feel like nobody will really care about that one year, and people can and will focus on what you're doing now.

I agree. If you own it, you control the influence something like this has over your future.

Thank you for your answer! I really resonated with this: "In my case, it made me much more determined, and I could easily tell what I now am capable of, instead of focussing on what I was incapable of." I am also curious as to if you referenced your record in cover letters, statements of purpose and such, or if you left it to the interviewer to bring up.

On my resumé I state that I went to college those years, which I did. In the cover letter I mention it briefly/superficially, to prevent anyone reading it from thinking I'm hiding something. And during the interview I try to touch upon it early and mention something like that I'm willing to talk about it of they feel that it's necessary, but that I'd rather focus on my recent accomplishments. They tend to appreciate the honesty and forwardness of it.

That is interesting because I only have "ba in math from state school, 2017" on my resume, rather then what schools I attended and when. However, unlike many people with spotty academic records, I am going to be graduating in 4 years so there is no gap of time to explain. Do you think this is unethical? I have thought that since the information I have is accurate and the relevant information to an employer is my degree, this is OK to do.

Regarding which schools and when, might be a cultural difference. I live in Europe and I believe it's common to mention those things here. And I figure in your case it's okay to do it like this, does not seem unethical. However, in that case you can't emphasize that you're doing ~twice the course load, which could be a nice seling point.

It's very common for grad-school applicants to have had a struggle early on in college. The step up from high school is a big one (academically and otherwise), and that's aside from sources of stress that might hit anyone at any age. If I see an academic transcript showing difficulties early on and not later, I assume I'm looking at someone who ran into some life challenges and has since bounced back. What's important in this kind of case when it comes to evaluating the student for admission to graduate programs isn't that there are some rough spots in their history. It's that they have been doing well lately and have shown noticeable perseverance in the face of some tough things.
Some graduate applications will give you the option of attaching an extra sheet of paper if you would like to add an explanation about extenuating circumstances (this absolutely counts) to be taken into account. But even if you aren't given that option (and/or don't feel comfortable sharing your story with anonymous committees), I wouldn't worry too much.

I believe that,as long as your present academic record & research capabilities are good, people won't bother about it.Even if they ask the reason,you can explain what happened. That will help them understand that you are a much stronger person now and worth giving the chance and that you will excel in research, if extra guidance is provided.

Some of your comments indicate an additional issue that you did not raise in your OP: you are not planning to disclose your initial undergraduate institutions. (here are a couple previous questions that address similar issues)
Usually, graduate schools will request full transcripts from all undergraduate institutions, not just a notation of the degree earned and GPA like you would have on a business resume. If you omit your transcripts from your first school, this could cause you problems down the road with severe consequences, even if you are initially accepted.
Although you say you are graduating in 4 years, therefore there is no "gap" to explain, your transcript actually will reveal a hole: it sounds like you are actually completing your 4-year degree in only two years, and a graduate admissions committee will certainly wonder what you were up to in the previous two years since your high school graduation if you don't provide any information.
As you see from most of the other responses here, the general consensus is that struggles early on are not weighted heavily, especially if they are followed by excellent performance.
It is up to you whether to disclose the causes of your struggles early on, but I think you should at least disclose that those struggles occurred. In my personal opinion, a student's ability to overcome a struggle says a lot about their character, whether assisted by medication or not. Your story certainly sounds like you have the type of dedication that is an asset in graduate school.
If I was in your position, I would state vaguely on your application that you were able to overcome your initial academic struggles after changing institutions, and I would approach this as a strength that demonstrates your ability to work through adversity. If you have a phone or in-person interview at a graduate school and you are asked explicitly about your early struggles, I would answer that you had some mental health issues that responded well to treatment (or, as @aparente001 suggested, "I had an undiagnosed condition which responded very well to treatment") - you don't need to make any mention that you are still on medication if you are uncomfortable saying so (though there should not be any stigma against it). Your more recent undergraduate performance supports that you are doing well so you have little else to explain.

i do not think I made it clear in the comments but I do intend to disclose my full academic record to graduate schools- in fact, I don't think that it is possible to not do so. I meant that on a resume intended for employers that are not graduate schools I have written the degree that will be conferred from the school I am going to graduate from rather then the schools attended. Thank you for the response!

Got it - I was a bit concerned since this has come up before on Academia.SE. It is possible to do all sorts of unethical things and just wanted to make sure the advice here that it is okay to not disclose a mental health concern didn't unintentionally convey that it would be okay to omit those courses from your application entirely. I do agree with you that on a resume not for application to an academic institution there is no need to include education where you did not earn a degree. Best of luck to you and please don't overwork yourself in the meantime, your course load sounds formidable.

If you've taken double the normal course load in the past two years, you've done four years of work in two. That's pretty impressive.
You can show good grades for the last 30 (or whatever the number is) courses. Many schools will be happy to leave it at that.
Your bad first two years might hurt you at a few schools, but not many. Most would be impressed that you rose out of an unpromising start to a strong "finish."


text:
How to obtain citation counts per year or exportable data from Google Scholar?
To me, it seems that "Fully Convolutional Networks for Semantic Segmentation" (http://arxiv.org/abs/1411.4038v2) has quite a bit of impact. However, I would like to support this feeling with data.
On Google Scholar, I can see that the paper was cited by 116 publications. However, I would like to plot a curve showing when it was cited. So I would like to export this data to a CSV with a "date" column and a "title" column. (Other columns like authors, how often the other paper was cited, journal, ... would be nice, too).
Are there other ways to quickly analyze the impact of a paper?

The google scholar link is broken

For this specific case, bear in mind that most bibliographic metadata doesn't reliably provide information on a more specific basis than year of publication, so you're unlikely to get a very useful "when was it cited" graph for a paper published at the end of 2014...

you know it's really easy to game Google Scholar, right?

@EnergyNumbers Interesting, thank you for the link. Why didn't you link the paper Manipulating Google Scholar Citations and Google Scholar Metrics: simple, easy and tempting on which the article seemes to be based?

Are you referring to this type of plot, which can be found through an author page containing that paper (in this case Evan Shelhamer), by clicking on the title:

At the Google scholar page of that paper you can also hover over the bars to see e.g. that the paper has 109 citations from 2015. I don't know about a way to directly export data from Google scholar. You could probably html scrape the data though, or by manually using "custom range" here to get citation counts for each year.
Another option is to use the Publish or Perish software (which functions as a front-end to Google scholar), which allows you to use the "Lookup citations" feature to get an exportable list of all the citing papers found through Google Scholar. This list will contain year, title, authors, citation count etc for all the citing papers.
An excerpt of the data for this particular paper is included below. In this particular case (since most of the citations are coming from arXiv) you can actually get a better temporal resolution of the citations after some post-processing of the exported data, since it includes the arXiv identifier which contains the month of publication (posting to Arxiv). That plot looks like this, for the 77 arXiv papers citing "Fully Convolutional Networks for Semantic Segmentation":

Data excerpt:
427,"K Simonyan, A Zisserman","Very deep convolutional networks for large-scale image recognition",2014,"arXiv preprint arXiv:1409.1556","arxiv.org","http://arxiv.org/abs/1409.1556","http://scholar.google.com/scholar?cites=15993525775437884507&as_sdt=2005&sciodt=0,5&hl=en&num=20",1,2015-11-18,""
51,"LC Chen, G Papandreou, I Kokkinos, K Murphy…","Semantic image segmentation with deep convolutional nets and fully connected crfs",2014,"arXiv preprint arXiv: …","arxiv.org","http://arxiv.org/abs/1412.7062","http://scholar.google.com/scholar?cites=12556287530133233148&as_sdt=2005&sciodt=0,5&hl=en&num=20",2,2015-11-18,""
31,"B Hariharan, P Arbeláez, R Girshick, J Malik","Hypercolumns for object segmentation and fine-grained localization",2014,"arXiv preprint arXiv: …","arxiv.org","http://arxiv.org/abs/1411.5752","http://scholar.google.com/scholar?cites=338188405356970854&as_sdt=2005&sciodt=0,5&hl=en&num=20",3,2015-11-18,""
24,"S Zheng, S Jayasumana, B Romera-Paredes…","Conditional random fields as recurrent neural networks",2015,"arXiv preprint arXiv: …","arxiv.org","http://arxiv.org/abs/1502.03240","http://scholar.google.com/scholar?cites=4680896688857314530&as_sdt=2005&sciodt=0,5&hl=en&num=20",12,2015-11-18,""
20,"J Dai, K He, J Sun","Convolutional feature masking for joint object and stuff segmentation",2014,"arXiv preprint arXiv:1412.1283","arxiv.org","http://arxiv.org/abs/1412.1283","http://scholar.google.com/scholar?cites=3867986733742388443&as_sdt=2005&sciodt=0,5&hl=en&num=20",4,2015-11-18,""
18,"G Papandreou, LC Chen, K Murphy…","Weakly-and semi-supervised learning of a DCNN for semantic image segmentation",2015,"arXiv preprint arXiv: …","arxiv.org","http://arxiv.org/abs/1502.02734","http://scholar.google.com/scholar?cites=12298732919189295864&as_sdt=2005&sciodt=0,5&hl=en&num=20",6,2015-11-18,""
14,"J Dai, K He, J Sun","Boxsup: Exploiting bounding boxes to supervise convolutional networks for semantic segmentation",2015,"arXiv preprint arXiv:1503.01640","arxiv.org","http://arxiv.org/abs/1503.01640","http://scholar.google.com/scholar?cites=10583411756105923851&as_sdt=2005&sciodt=0,5&hl=en&num=20",9,2015-11-18,""
13,"AG Schwing, R Urtasun","Fully connected deep structured networks",2015,"arXiv preprint arXiv:1503.02351","arxiv.org","http://arxiv.org/abs/1503.02351","http://scholar.google.com/scholar?cites=9137941562147447673&as_sdt=2005&sciodt=0,5&hl=en&num=20",10,2015-11-18,""
13,"G Lin, C Shen, I Reid","Efficient piecewise training of deep structured models for semantic segmentation",2015,"arXiv preprint arXiv:1504.01013","arxiv.org","http://arxiv.org/abs/1504.01013","http://scholar.google.com/scholar?cites=1420854562551446027&as_sdt=2005&sciodt=0,5&hl=en&num=20",25,2015-11-18,""
12,"S Ren, K He, R Girshick, J Sun","Faster r-cnn: Towards real-time object detection with region proposal networks",2015,"arXiv preprint arXiv:1506.01497","arxiv.org","http://arxiv.org/abs/1506.01497","http://scholar.google.com/scholar?cites=16436232259506318906&as_sdt=2005&sciodt=0,5&hl=en&num=20",5,2015-11-18,""
10,"G Bertasius, J Shi, L Torresani","DeepEdge: A Multi-Scale Bifurcated Deep Network for Top-Down Contour Detection",2014,"arXiv preprint arXiv:1412.1123","arxiv.org","http://arxiv.org/abs/1412.1123","http://scholar.google.com/scholar?cites=2089551699301366907&as_sdt=2005&sciodt=0,5&hl=en&num=20",8,2015-11-18,""
9,"D Pathak, E Shelhamer, J Long, T Darrell","Fully convolutional multi-class multiple instance learning",2014,"arXiv preprint arXiv:1412.7144","arxiv.org","http://arxiv.org/abs/1412.7144","http://scholar.google.com/scholar?cites=6242051221514792488&as_sdt=2005&sciodt=0,5&hl=en&num=20",11,2015-11-18,""
7,"H Noh, S Hong, B Han","Learning Deconvolution Network for Semantic Segmentation",2015,"arXiv preprint arXiv:1505.04366","arxiv.org","http://arxiv.org/abs/1505.04366","http://scholar.google.com/scholar?cites=4896002303003783815&as_sdt=2005&sciodt=0,5&hl=en&num=20",80,2015-11-18,""
5,"M Jaderberg, K Simonyan, A Zisserman…","Spatial transformer networks",2015,"arXiv preprint arXiv: …","arxiv.org","http://arxiv.org/abs/1506.02025","http://scholar.google.com/scholar?cites=1662293494062093494&as_sdt=2005&sciodt=0,5&hl=en&num=20",7,2015-11-18,""
5,"R Girshick, J Donahue, T Darrell, J Malik","Region-based Convolutional Networks for Accurate Object Detection and Segmentation",0,"ieeexplore.ieee.org","","http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7112511","http://scholar.google.com/scholar?cites=2674763949973029385&as_sdt=2005&sciodt=0,5&hl=en&num=20",42,2015-11-18,""
4,"S Ren, K He, R Girshick, X Zhang, J Sun","Object Detection Networks on Convolutional Feature Maps",2015,"arXiv preprint arXiv:1504.06066","arxiv.org","http://arxiv.org/abs/1504.06066","http://scholar.google.com/scholar?cites=8299550676813721451&as_sdt=2005&sciodt=0,5&hl=en&num=20",21,2015-11-18,""
4,"S Xie, Z Tu","Holistically-Nested Edge Detection",2015,"arXiv preprint arXiv:1504.06375","arxiv.org","http://arxiv.org/abs/1504.06375","http://scholar.google.com/scholar?cites=18154299256265143241&as_sdt=2005&sciodt=0,5&hl=en&num=20",112,2015-11-18,""
3,"W Liu, A Rabinovich, AC Berg","Parsenet: Looking wider to see better",2015,"arXiv preprint arXiv:1506.04579","arxiv.org","http://arxiv.org/abs/1506.04579","http://scholar.google.com/scholar?cites=11105541992267753132&as_sdt=2005&sciodt=0,5&hl=en&num=20",13,2015-11-18,""
3,"A Dosovitskiy, T Brox","Inverting convolutional networks with convolutional networks",2015,"arXiv preprint arXiv:1506.02753","arxiv.org","http://arxiv.org/abs/1506.02753","http://scholar.google.com/scholar?cites=3843085858101673825&as_sdt=2005&sciodt=0,5&hl=en&num=20",14,2015-11-18,""
2,"S Hong, H Noh, B Han","Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation",2015,"arXiv preprint arXiv:1506.04924","arxiv.org","http://arxiv.org/abs/1506.04924","http://scholar.google.com/scholar?cites=15385340253531275638&as_sdt=2005&sciodt=0,5&hl=en&num=20",15,2015-11-18,""
2,"O Russakovsky, AL Bearman, V Ferrari…","What's the point: Semantic segmentation with point supervision",2015,"arXiv preprint arXiv: …","arxiv.org","http://arxiv.org/abs/1506.02106","http://scholar.google.com/scholar?cites=14456480836534501375&as_sdt=2005&sciodt=0,5&hl=en&num=20",16,2015-11-18,""
2,"Z Xie, K Xu, W Shan, L Liu, Y Xiong…","Projective Feature Learning for 3D Shapes with Multi-View Depth Images",2015,"Computer Graphics …","Wiley Online Library","http://onlinelibrary.wiley.com/doi/10.1111/cgf.12740/full","http://scholar.google.com/scholar?cites=16653555319690091022&as_sdt=2005&sciodt=0,5&hl=en&num=20",17,2015-11-18,""
2,"P Wang, X Shen, Z Lin, S Cohen, B Price…","Joint Object and Part Segmentation using Deep Learned Potentials",2015,"arXiv preprint arXiv: …","arxiv.org","http://arxiv.org/abs/1505.00276","http://scholar.google.com/scholar?cites=4342156029683513177&as_sdt=2005&sciodt=0,5&hl=en&num=20",48,2015-11-18,""
2,"B Yang, J Yan, Z Lei, SZ Li","Convolutional Channel Features For Pedestrian, Face and Edge Detection",2015,"arXiv preprint arXiv:1504.07339","arxiv.org","http://arxiv.org/abs/1504.07339","http://scholar.google.com/scholar?cites=6994455475312011326&as_sdt=2005&sciodt=0,5&hl=en&num=20",59,2015-11-18,""
2,"S Gidaris, N Komodakis","Object detection via a multi-region & semantic segmentation-aware CNN model",2015,"arXiv preprint arXiv:1505.01749","arxiv.org","http://arxiv.org/abs/1505.01749","http://scholar.google.com/scholar?cites=17076919334968493616&as_sdt=2005&sciodt=0,5&hl=en&num=20",65,2015-11-18,""
2,"G Papandreou, I Kokkinos…","Modeling Local and Global Deformations in Deep Learning: Epitomic Convolution, Multiple Instance Learning, and Sliding Window Detection",2015,"Proceedings of the IEEE …","cv-foundation.org","","http://scholar.google.com/scholar?cites=372687354279680428&as_sdt=2005&sciodt=0,5&hl=en&num=20",84,2015-11-18,"PDF"
2,"X Zhang, J Zou, K He, J Sun","Accelerating Very Deep Convolutional Networks for Classification and Detection",2015,"arXiv preprint arXiv:1505.06798","arxiv.org","http://arxiv.org/abs/1505.06798","http://scholar.google.com/scholar?cites=11183077033015235296&as_sdt=2005&sciodt=0,5&hl=en&num=20",89,2015-11-18,""
1,"A Khosla, AS Raju, A Torralba, A Oliva","Understanding and predicting image memorability at a large scale",2015,"","people.csail.mit.edu","","http://scholar.google.com/scholar?cites=4151583339195604249&as_sdt=2005&sciodt=0,5&hl=en&num=20",18,2015-11-18,"PDF"
1,"B Shuai, Z Zuo, W Gang","Quaddirectional 2D-Recurrent Neural Networks For Image Labeling",2015,"","ieeexplore.ieee.org","http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7118156","http://scholar.google.com/scholar?cites=13720065868238901658&as_sdt=2005&sciodt=0,5&hl=en&num=20",19,2015-11-18,""
1,"Z Liang, S Ding, L Lin","Unconstrained Facial Landmark Localization with Backbone-Branches Fully-Convolutional Networks",2015,"arXiv preprint arXiv:1507.03409","arxiv.org","http://arxiv.org/abs/1507.03409","http://scholar.google.com/scholar?cites=12791133750001877582&as_sdt=2005&sciodt=0,5&hl=en&num=20",20,2015-11-18,""
1,"D Pathak, P Krähenbühl, T Darrell","Constrained Convolutional Neural Networks for Weakly Supervised Segmentation",2015,"arXiv preprint arXiv:1506.03648","arxiv.org","http://arxiv.org/abs/1506.03648","http://scholar.google.com/scholar?cites=18113115400192563138&as_sdt=2005&sciodt=0,5&hl=en&num=20",22,2015-11-18,""
1,"C Ionescu, O Vantzos, C Sminchisescu","Matrix Backpropagation for Deep Networks with Structured Layers",2015,"","maths.lth.se","","http://scholar.google.com/scholar?cites=17387807402435828231&as_sdt=2005&sciodt=0,5&hl=en&num=20",23,2015-11-18,"PDF"
1,"V Badrinarayanan, A Kendall, R Cipolla","SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation",2015,"arXiv preprint arXiv:1511.00561","arxiv.org","http://arxiv.org/abs/1511.00561","http://scholar.google.com/scholar?cites=18037094217443794526&as_sdt=2005&sciodt=0,5&hl=en&num=20",24,2015-11-18,""
1,"K Lee, A Zlateski, A Vishwanathan…","Recursive Training of 2D-3D Convolutional Networks for Neuronal Boundary Detection",2015,"arXiv preprint arXiv: …","arxiv.org","http://arxiv.org/abs/1508.04843","http://scholar.google.com/scholar?cites=17230449095463437923&as_sdt=2005&sciodt=0,5&hl=en&num=20",26,2015-11-18,""
1,"B Pepik, R Benenson, T Ritschel, B Schiele","What Is Holding Back Convnets for Detection?",2015,"Pattern Recognition","Springer","http://link.springer.com/chapter/10.1007/978-3-319-24947-6_43","http://scholar.google.com/scholar?cites=1468500825478747183&as_sdt=2005&sciodt=0,5&hl=en&num=20",27,2015-11-18,""
1,"C Ionescu, O Vantzos, C Sminchisescu","Training Deep Networks with Structured Layers by Matrix Backpropagation",2015,"arXiv preprint arXiv:1509.07838","arxiv.org","http://arxiv.org/abs/1509.07838","http://scholar.google.com/scholar?cites=8704018611282114837&as_sdt=2005&sciodt=0,5&hl=en&num=20",28,2015-11-18,""
1,"Z Liu, X Li, P Luo, CC Loy, X Tang","Semantic Image Segmentation via Deep Parsing Network",2015,"arXiv preprint arXiv:1509.02634","arxiv.org","http://arxiv.org/abs/1509.02634","http://scholar.google.com/scholar?cites=18281955767933637624&as_sdt=2005&sciodt=0,5&hl=en&num=20",29,2015-11-18,""
1,"X Gibert, VM Patel, R Chellappa","Deep Multi-task Learning for Railway Track Inspection",2015,"arXiv preprint arXiv:1509.05267","arxiv.org","http://arxiv.org/abs/1509.05267","http://scholar.google.com/scholar?cites=16444267879523298138&as_sdt=2005&sciodt=0,5&hl=en&num=20",30,2015-11-18,""
1,"X Gibert, VM Patel, R Chellappa","Material classification and semantic segmentation of railway track images with deep convolutional neural networks,”",2015,"IEEE International Conference …","researchgate.net","","http://scholar.google.com/scholar?cites=13942078593779597868&as_sdt=2005&sciodt=0,5&hl=en&num=20",31,2015-11-18,"PDF"
1,"H Xu, S Venugopalan, V Ramanishka…","A Multi-scale Multiple Instance Video Description Network",2015,"arXiv preprint arXiv: …","arxiv.org","http://arxiv.org/abs/1505.05914","http://scholar.google.com/scholar?cites=1990066366497434516&as_sdt=2005&sciodt=0,5&hl=en&num=20",33,2015-11-18,""
1,"F Liu, C Shen, G Lin, I Reid","Learning Depth from Single Monocular Images Using Deep Convolutional Neural Fields",2015,"arXiv preprint arXiv:1502.07411","arxiv.org","http://arxiv.org/abs/1502.07411","http://scholar.google.com/scholar?cites=2562418167496300062&as_sdt=2005&sciodt=0,5&hl=en&num=20",52,2015-11-18,""
1,"PD Vo, A Ginsca, H Le Borgne, A Popescu","Effective Training of Convolutional Networks using Noisy Web Images",0,"comupedia.org","","","http://scholar.google.com/scholar?cites=12447971813084759439&as_sdt=2005&sciodt=0,5&hl=en&num=20",70,2015-11-18,"PDF"
1,"Z Zhang, AG Schwing, S Fidler, R Urtasun","Monocular Object Instance Segmentation and Depth Ordering with CNNs",2015,"arXiv preprint arXiv: …","arxiv.org","http://arxiv.org/abs/1505.03159","http://scholar.google.com/scholar?cites=7431213548054053779&as_sdt=2005&sciodt=0,5&hl=en&num=20",78,2015-11-18,""
1,"S Tsogkas, I Kokkinos, G Papandreou…","Semantic Part Segmentation with Deep Learning",2015,"arXiv preprint arXiv: …","arxiv.org","http://arxiv.org/abs/1505.02438","http://scholar.google.com/scholar?cites=16300824466121812385&as_sdt=2005&sciodt=0,5&hl=en&num=20",79,2015-11-18,""
1,"G Bertasius, J Shi, L Torresani","High-for-Low and Low-for-High: Efficient Boundary Detection from Deep Object Features and its Applications to High-Level Vision",2015,"arXiv preprint arXiv:1504.06201","arxiv.org","http://arxiv.org/abs/1504.06201","http://scholar.google.com/scholar?cites=6429592123688911770&as_sdt=2005&sciodt=0,5&hl=en&num=20",86,2015-11-18,""
1,"M Havaei, A Davy, D Warde-Farley, A Biard…","Brain Tumor Segmentation with Deep Neural Networks",2015,"arXiv preprint arXiv: …","arxiv.org","http://arxiv.org/abs/1505.03540","http://scholar.google.com/scholar?cites=4159936825454045654&as_sdt=2005&sciodt=0,5&hl=en&num=20",91,2015-11-18,""
1,"P Fischer, A Dosovitskiy, E Ilg, P Häusser…","FlowNet: Learning Optical Flow with Convolutional Networks",2015,"arXiv preprint arXiv: …","arxiv.org","http://arxiv.org/abs/1504.06852","http://scholar.google.com/scholar?cites=4399198863370102461&as_sdt=2005&sciodt=0,5&hl=en&num=20",111,2015-11-18,""
0,"CA Brust, S Sickert, M Simon, E Rodner, J Denzler","Efficient Convolutional Patch Networks for Scene Understanding",0,"hera.inf-cv.uni-jena.de","","","http://scholar.google.com/scholar?q=related:G0POBdhSJIsJ:scholar.google.com/&hl=en&num=20&as_sdt=0,5&sciodt=0,5",32,2015-11-18,"PDF"
0,"J Vašícek, M Hradiš, F Radenovic, O Chum","Camera Elevation Estimation from a Single Mountain Landscape Photograph",0,"cmp.felk.cvut.cz","","","",34,2015-11-18,"PDF"
0,"A Dubrovina, P Kisilev, B Ginsburg, S Hashoul…","Computational Mammography using Deep Neural Networks",0,"cs.technion.ac.il","","","",35,2015-11-18,"PDF"
0,"DL Richmond, D Kainmueller, MY Yang…","Relating Cascaded Random Forests to Deep Convolutional Neural Networks for Semantic Segmentation",2015,"arXiv preprint arXiv: …","arxiv.org","http://arxiv.org/abs/1507.07583","",36,2015-11-18,""
0,"X Liang, Y Wei, X Shen, J Yang, L Lin, S Yan","Proposal-free Network for Instance-level Object Segmentation",2015,"arXiv preprint arXiv: …","arxiv.org","http://arxiv.org/abs/1509.02636","",37,2015-11-18,""
0,"M Xie, N Jean, M Burke, D Lobell, S Ermon","Transfer Learning from Deep Features for Remote Sensing and Poverty Mapping",2015,"arXiv preprint arXiv: …","arxiv.org","http://arxiv.org/abs/1510.00098","",38,2015-11-18,""
0,"S Gupta, J Hoffman, J Malik","Cross Modal Distillation for Supervision Transfer",2015,"arXiv preprint arXiv:1507.00448","arxiv.org","http://arxiv.org/abs/1507.00448","",39,2015-11-18,""
0,"H Chu, H Mei, M Bansal, MR Walter","Accurate Vision-based Vehicle Localization using Satellite Imagery",2015,"arXiv preprint arXiv:1510.09171","arxiv.org","http://arxiv.org/abs/1510.09171","",40,2015-11-18,""
0,"D Dai, Y Wang, Y Chen, L Van Gool","How Useful Is Image Super-resolution to Other Vision Tasks?",2015,"arXiv preprint arXiv:1509.07009","arxiv.org","http://arxiv.org/abs/1509.07009","",41,2015-11-18,""
0,"A Raj, D Maturana, S Scherer","Multi-Scale Convolutional Architecture for Semantic Segmentation",2015,"","ri.cmu.edu","","",43,2015-11-18,"PDF"
0,"F Xia, J Zhu, P Wang, A Yuille","Pose-Guided Human Parsing with Deep Learned Features",2015,"arXiv preprint arXiv:1508.03881","arxiv.org","http://arxiv.org/abs/1508.03881","",44,2015-11-18,""
0,"J Xie, M Kiefel, MT Sun, A Geiger","Semantic Instance Annotation of Street Scenes by 3D to 2D Label Transfer",2015,"arXiv preprint arXiv:1511.03240","arxiv.org","http://arxiv.org/abs/1511.03240","",45,2015-11-18,""
0,"J Kim, V Pavlovic","Discovering Characteristic Landmarks on Ancient Coins using Convolutional Networks",2015,"arXiv preprint arXiv:1506.09174","arxiv.org","http://arxiv.org/abs/1506.09174","",46,2015-11-18,""
0,"C Sun, M Paluri, R Collobert, R Nevatia…","ProNet: Learning to Propose Object-specific Boxes for Cascaded Neural Networks",2015,"arXiv preprint arXiv: …","arxiv.org","http://arxiv.org/abs/1511.03776","",47,2015-11-18,""
0,"LC Chen, JT Barron, G Papandreou, K Murphy…","Semantic Image Segmentation with Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform",2015,"arXiv preprint arXiv: …","arxiv.org","http://arxiv.org/abs/1511.03328","",49,2015-11-18,""
0,"N van Noord, E Postma","Exploring the influence of scale on artist attribution",2015,"arXiv preprint arXiv:1506.05929","arxiv.org","http://arxiv.org/abs/1506.05929","",50,2015-11-18,""
0,"A Kendall, V Badrinarayanan, R Cipolla","Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding",2015,"arXiv preprint arXiv:1511.02680","arxiv.org","http://arxiv.org/abs/1511.02680","",51,2015-11-18,""
0,"C Wang, X Yan, M Smith, K Kochhar…","A unified framework for automatic wound segmentation and analysis with deep convolutional neural networks",2015,"… in Medicine and …","ieeexplore.ieee.org","http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7318881","",53,2015-11-18,""
0,"PH Liu","Novel Convolutional Neural Networks for Deep Learning and Its Applications to General Image Classification",2015,"","pc01.lib.ntust.edu.tw","http://pc01.lib.ntust.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0708115-214445","",54,2015-11-18,""
0,"S Bittel, V Kaiser, M Teichmann, M Thoma","Pixel-wise Segmentation of Street with Neural Networks",2015,"arXiv preprint arXiv: …","arxiv.org","http://arxiv.org/abs/1511.00513","",55,2015-11-18,""
0,"D Ravìa, M Bober, GM Farinella, M Guarnera…","Semantic Segmentation of Images Exploiting DCT Based Features and Random Forest",2015,"Pattern Recognition","Elsevier","","",56,2015-11-18,"HTML"
0,"H Nam, B Han","Learning Multi-Domain Convolutional Neural Networks for Visual Tracking",2015,"arXiv preprint arXiv:1510.07945","arxiv.org","http://arxiv.org/abs/1510.07945","",57,2015-11-18,""
0,"LC Chen, Y Yang, J Wang, W Xu, AL Yuille","Attention to Scale: Scale-aware Semantic Image Segmentation",2015,"arXiv preprint arXiv: …","arxiv.org","http://arxiv.org/abs/1511.03339","",58,2015-11-18,""
0,"A Seff, L Lu, A Barbu, H Roth, HC Shin…","Leveraging Mid-Level Semantic Boundary Cues for Automated Lymph Node Detection",2015,"… Image Computing and …","Springer","http://link.springer.com/chapter/10.1007/978-3-319-24571-3_7","",60,2015-11-18,""
0,"AL Jones","Segmenting Microarrays with Deep Neural Networks",2015,"bioRxiv","biorxiv.org","http://biorxiv.org/content/early/2015/06/03/020404.abstract","",61,2015-11-18,""
0,"Y Wang, J Liu, Y Li, H Lu","Semi-and Weakly-Supervised Semantic Segmentation with Deep Convolutional Neural Networks",2015,"Proceedings of the 23rd Annual ACM …","dl.acm.org","http://dl.acm.org/citation.cfm?id=2806322","",62,2015-11-18,""
0,"BS Riggan, C Reale, NM Nasrabadi","Coupled Auto-Associative Neural Networks for Heterogeneous Face Recognition",2015,"Access, IEEE","ieeexplore.ieee.org","http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7270978","",63,2015-11-18,""
0,"A Carlier, A Salvador, F Cabezas, X Giro-i-Nieto…","Assessment of crowdsourcing and gamification loss in user-assisted object segmentation",2015,"Multimedia Tools and …","Springer","http://scholar.google.comhttps://link.springer.com/content/pdf/10.1007%2Fs11042-015-2897-6.pdf","",64,2015-11-18,""
0,"P Hu, D Ramanan","Bottom-up and top-down reasoning with convolutional latent-variable models",2015,"arXiv preprint arXiv:1507.05699","arxiv.org","http://arxiv.org/abs/1507.05699","",66,2015-11-18,""
0,"SS Mukherjee, N Robertson","Deep Head Pose: gaze-direction estimation in multimodal video",2013,"","ieeexplore.ieee.org","http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7279167","",67,2015-11-18,""
0,"MM Cheng, VA Prisacariu, S Zheng…","DenseCut: Densely Connected CRFs for Realtime GrabCut",2015,"Computer Graphics …","Wiley Online Library","http://onlinelibrary.wiley.com/doi/10.1111/cgf.12758/full","",68,2015-11-18,""
0,"J Pan","Visual Saliency Prediction using Deep learning Techniques",2015,"","imatge.upc.edu","","",69,2015-11-18,"PDF"
0,"A Dosovitskiy, P Fischer, J Springenberg…","Discriminative Unsupervised Feature Learning with Exemplar Convolutional Neural Networks",2015,"IEEE Transactions on …","computer.org","http://www.computer.org/csdl/trans/tp/preprint/07312476-abs.html","",71,2015-11-18,""
0,"X Wu","An Iterative Convolutional Neural Network Algorithm Improves Electron Microscopy Image Segmentation",2015,"arXiv preprint arXiv:1506.05849","arxiv.org","http://arxiv.org/abs/1506.05849","",72,2015-11-18,""
0,"LC Chen, G Papandreou, I Kokkinos, K Murphy…","SEMANTIC IMAGE SEGMENTATION WITH DEEP CON-VOLUTIONAL NETS AND FULLY CONNECTED CRFS",0,"stat.ucla.edu","","","",73,2015-11-18,"PDF"
0,"C Frogner, C Zhang, H Mobahi, M Araya-Polo…","Learning with a Wasserstein Loss",2015,"arXiv preprint arXiv: …","arxiv.org","http://arxiv.org/abs/1506.05439","",74,2015-11-18,""
0,"G Bertasius, J Shi, L Torresani","Semantic Segmentation with Boundary Neural Fields",2015,"arXiv preprint arXiv:1511.02674","arxiv.org","http://arxiv.org/abs/1511.02674","",75,2015-11-18,""
0,"Y Wei, X Liang, Y Chen, X Shen, MM Cheng…","STC: A Simple to Complex Framework for Weakly-supervised Semantic Segmentation",2015,"arXiv preprint arXiv: …","arxiv.org","http://arxiv.org/abs/1509.03150","",76,2015-11-18,""
0,"H Lai, S Xiao, Z Cui, Y Pan, C Xu, S Yan","Deep Cascaded Regression for Face Alignment",2015,"arXiv preprint arXiv:1510.09083","arxiv.org","http://arxiv.org/abs/1510.09083","",77,2015-11-18,""

You can do it with scholar package. Follow the steps
1) Find the article in scholar.google.de
2) Click on one the authors registered in google scholar, this will show the page with all articles of that author
3) Click on the title of the article you want, this will show the profile for the article. Copy the complete address (url) showed behind that page

4) From the url get the id for author to get the publication list, and the the pub_id for the article
id="ltRSM0AAAAJ"   #user
arta=get_publications(id, cstart = 0, pagesize = 100, flush = FALSE)
article=as.character(arta$pubid)[2] #W7OEmFMy1HYC

5) Get the data for the article and plot the data
art2=get_article_cite_history(id, article)
library(ggplot2)
ggplot(data=art2, aes(x=year, y=cites)) +
  geom_bar(stat="identity", fill="steelblue")+
  geom_text(aes(label=cites), vjust=-0.3, size=3.5)+
  theme_minimal()


text:
How do i find top journals in my area of interest?
How can you find the top journals in a scientific field? I am an HCI graduate student, but I sometimes write to industrial engineering articles if it involves ergonomics. Right now, I'm trying to understand what standing the journal "IIE Transactions" has compared to other journals in the field of industrial engineering.
I was told that the impact factor is not a good indicator to find top journals. What other indicators are useful for identifing top journals within specific fields, like industrial engineering?

@EnergyNumbers Somewhat agree. However, that question (and some answers) are mainly dealing with how to avoid predatory journals/find respectable ones. I could imagine that slightly different anwers might come to a Q asking for ways to find the top journals within a field. This Q could be rephrased to be more general though.

The title of this post is "how do I find top journals?", but the text ends with the question "what indicators are used to judge journals?" If judging by the former, this is not a dupe, if by the latter it is. @james, do you want to clarify this question?

By experience. By reading papers from different journals and evaluating their levels, if found a good one you can check that where does the authors of that paper published their other works. By checking that that where does the famous people of world in the same major as you publish their works.

There are problems with the Impact factor, but to find top journals in a field (as in leading/high reputation) the IF (relative to others in the field) is usually a good proxy. The problem with IF is mainly that it is a fairly poor predictor of citations to individual papers. Alternative journal rankings can be found at SCimago and Eigenfactor. However, I do not have any knowledge about HCI and industrial engineering in particular.
Beside @MatthewG recommendation to talk to your advisor, I would also suggest that you look at what you are reading and what journals the papers you are citing are published in. This is usually a good way to find suitable journals.

Talk to your advisor about this. They will have a very good mental model of what the publication landscape in the area looks like.
Sometimes, lists like this exist for your field, however they largely just reproduce intuitions your supervisor would already have.


text:
How to "dress up" a CV that has a PhD but no peer reviewed publication record?
I have a glaring omission in my CV because I do not have any scholarly (peer reviewed) publications to my credit. However, I have good industry-based experience (more than 10 years when I have written a number of manuals and submissions), and have recently completed a Social Science PhD from a reputable university. I am after some guidance on ways in which a person in my position would address this glaring omission in a CV so as to better highlight/present his credentials for academic purposes (e.g. to apply to join a university etc).

How have you completed a Social Science PhD without any publication?

Yes, for the sole reason that I was employed full-time (in a good job) during the duration of the study so there was really no great need to publish in terms of a career move etc.

But PHD = publications in most of the countries I know. You cannot get a PHD just by passing some courses.

No, some universities don't require any publication record. I completed it from a nationally recognised / reputable university and it was not a requirement.

While there might be no requirement to have published anything, there is (as far as I know) a requirement that the dissertation is of sufficient quality that it (or at least parts of it) could be published. This might be a way to get at least an item on the publication list (remember to mark it as not yet peer-reviewed until it has been).

You seem to be unnecessarily vague.  You have said repeatedly that the university is "reputable".  Can you not name the university?  Is your PhD in "Social Science" or is there a specific social science that you focused on?  Some details might help.  Avoiding the details leads people to assume you are being less than honest, and that the university is anything but "reputable", which makes it difficult to paint yourself in a positive light

@rotard: On this site, avoiding certain details can help to generate answers which are more broadly applicable.  It can be tough to figure out which details to include and which to submit.  In my interactions on this site I have come to believe that in order to get a useful answer one should include (i) one's academic field [how finely depends on the question] and (ii) one's geographic region, at least at the level of North America / Europe / Asia and so forth.  Naming one's exact university is something I like to see more in answerers than questioners.

@Pete: generally, I agree.  However, in this case I think it is relevant, since while both Harvard and University of Phoenix Online can be called "reputable", they really aren't the same.  For example, Harvard I would name-drop while UPO I would not

@rotard: I would be surprised if "reputable university" referred to either Harvard or UPO.  I agree that a more precise term -- e.g. "Top X", "Research I", "public research university" -- would be more helpful.

In my view, naming my university or discipline has no bearing on my question. It would only divert attention away from the question I have asked.

@Alexandros IMHO, having publications is not mandatory to get a PhD, however it will greatly improve your chances to get a job in academia.

If you have submitted manuscripts to peer-reviewed outlets, you can say so.  If you have anything under second-round review, be sure to say so because that's all the better.
If you haven't submitted manuscripts, you could do so.  One of my peer-reviewed publications was originally a paper I wrote for a Ph.D. seminar.  I blew the dust off, firmed it up and made it stronger, and I submitted it.  It was a nice little paper.  My point is that you have doubtless done work that you could turn into a submission with X weeks of work.
Lots of people list their current research projects under a title such as "Current Research."
Beware that search committees know all the tricks.  You're not going to fool anyone.  But, I'm sure your goal is not to "fool" anyone at all.  You just want to put your best foot forward, and there's nothing wrong with that.

+1 For Current Research and put your best foot forward.

You should definitely write up your ideas/manuscripts as publishable manuscripts if you haven't already. After reshaping the manuscripts so that they are ready for submission, I would also suggest that you post them as preprints online (if journals in your field allows this), preferably to a preprint server. Depending on your field there are e.g. arXiv, peerJ, SSRN (most relevant for you), and biorxiv. This will allow you link to the paper, so that people can evaluate by themselves if your manuscripts contain good research. This is also a way of showing that there is actually a finished well-structured manuscript, and not just a manuscript title on your CV.
In my mind, your best bet would be to fix manuscripts, submit to journal + upload to preprint server, and include on CV as submitted manuscript along with a preprint link. As the previous answer stated, also make sure to update the status of manuscripts when they go out for review/revision. Just be sure that you are honest in how you present the status of your manuscripts.

I am almost sure, that your university has archived your thesis. In doing this it is always a citable work. In some countries it is also a very common requirement to obtaining a Ph.D. (or any equivalent), that the thesis itself has to be published in some form. The variations tend to range from books (registered with ISBN), digital copy (pdf-A), hardcopies at differnt libraries, or also microfilm. Hence the problem is more a problem of accessibility.
As these kind of publications are not peer reviewed, and accessibility is a limiting factor, they are usually referred to as 'grey literature'.
When publishing results of your original thesis, what you should probably also do, you might want to cite your dissertation at some point in this work. The library of your university (or equivalent institution) will certainly keep track of dissertations and you can ask them about how to cite them. (Also a good starting point is trying to find this work via some search engines.)
In your CV you will also mention from which university and when you received your Ph.D. Depending on how deep you will go into this, you might mention the title, probably a short summary of the field you were working in.
There are also a lot of print-on-demand publishers that are specialized in thesis. However, this might not be the best solution, but it would be another way to make it citable.