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?
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A colleague and I recently submitted a paper to a journal with an impressive-sounding name, the "International Journal of Artificial Intelligence and Computational Research". According to ,      IJAICR is a referred [sic] journal in the field of computer science, artificial intelligence and soft computing methods.   It was accepted two days after we submitted it. That's too fast. We were suspicious. Although the journal said that all papers are peer-reviewed, we could not see how that was done in two days. Plus, we received no comments from the reviewers. Also, the submission guidelines didn't ask for a "blind" copy (without our names or any references to who we were).   But wait, there's more.  The acceptance letter asked us to send them US$300 to publish it. We did not. We've withdrawn our submission and will submit a new version of the paper to a more reputable journal in the coming months.  How might we make a better choice of respectable journals before we submit next time?
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When I search for papers using some keywords in academic databases (like Google Scholar), there are lots of papers, but I would like to read literature reviews first because I’m new in that area. (By literature reviews, I mean article-length papers that analyze existing work on a specific topic.)  So I think it would be helpful for me if there were a way to find literature reviews using the keyword or using the paper’s title. I want to categorize papers I’ve found by its document type (research, survey, review, etc).  What I've tried is using a specific academic database (ScienceDirect), which provides an advanced search, in which one can filter the paper by its type (original research article, review article, short survey, etc) – but I feel some limitations of this method. I think I can also do this by adding the word review to my keywords for searching or by reading a paper’s abstract, number of references and guessing whether it is review article or not.  Is there a more efficient way to find review articles by the keyword?  (My research area is computer science.)  UPDATE  "feel some limitations" in my post, I'm not sure but it seems that ScienceDirect only searches for literatures that belongs to ElseVier company. I think It doesn't cover the journal articles well, comparing to e.g) Google Scholar so I said I feel some limitations of it
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I have been doing some work in Theoretical Computer Science(especially related to algorithms), and I wanted the publish some of my findings. Can someone please suggest some good journals or publications in the same area.
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We have had quite a few discussions on how to gauge the quality of research papers and academic journals. The consensus is that it is tough to identify a single metric which could reveal this quality factor.  I had an idea in this context. In the past newspapers used to have a single "Letters to Editor" section to which comments on all articles were sent. With the advent of the Net, we have a comments section under every article.    Similarly, why don't reputable journals introduce a comment space for their published papers, where fellow researchers could appreciate/criticise/query the works? What hinders us from having a reputation system for published papers - something where registered users could vote based on their perceived utility?
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I see a lot of people use Google Scholar and ResearchGate alerts, but I find those alert systems too overwhelming to the point I get inundated and treat them like spam. Perhaps I'm not using them effectively, though (e.g., too many AND operators in my searches). Any tips to improve my experience? Any alternatives that you might suggest? I'm intrigued by ReadCube Papers for its capabilities to integrate searches for papers, citations, and annotations (which is something I've also struggled to do, having used three different pieces of software for those functions), but I'd prefer something that doesn't have a subscription payment structure, at the very least.
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As a result of  myself, the need arose to track other Stack Overflow-based research. The following is an attempt to list the academic papers mentioning Stack Overflow/Exchange or using Stack Exchange data. This also includes the works mentioned in  that started the trend, as well as two other questions on meta, , and . If you know of papers that are not listed, please edit the answer directly. I realised it might be useful to have all the BibTeX entries in a single file, so I started .
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When you look at a paper, what order to you assume the authors are in? Most important/most work done first or alphabetical? In my group we usually use alphabetic order, but I've been wondering if that might create a misleading impression with lots of people.  On a related note, would you expect the name of a PhD student to be always first on publications related to her/his work?
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Most research profiles I've seen focus on a set of similar topics. Does anyone have experience in partaking in / conducting research in 2+ disparate fields? (especially if 1 of the fields is pretty different than what they studied in an institution)  For example:   Pure mathematics and biology (e.g. solving an open math problem and studying purring in cats) Aerospace engineering and psychology (e.g. modeling vortices and researching psychological effects of isolation)   If a person had interest in researching a multiple, ranging topics, what advice would you give them? How do you think they should go about doing it? (if you'd recommend they do it at all)  Edit - I'm an undergraduate mechanical engineering student. I'm interested in eventually researching two topics, one in my chosen field, one in genetics.
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Please submit, with the manuscript, the names, addresses (including   countries), and e-mail addresses of five potential referees who are   outside the authors' institutions and must not have conflict of   interest with the authors.   Do you think I should name 5 researchers from a similar area that are not affiliated with my university and co-authors? Is this what referees are?
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I'm currently a post doc in theoretical computer science and I have a double digit number of conference publications, about half of which are at so called "tier 1" conferences (SODA,STOC,...). Unfortunately I only have 1 journal publication so far, mainly due to coauthors dragging their feet.   Will the lack of journal publications have a great impact when applying for a faculty job in cs-theory at some point, and is it advisable to try to up this number before applying? Or is this fully compensated by having sufficiently many conference papers?
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I noticed that, for each research project, there comes a point where I have to consult the literature, and find all the previous research related to the current project.  Unfortunately, I seem to be very inefficient in my approach. I spend a lot of time digging through papers that are really interesting, but only of tangential importance to my current work, just to find the few papers that actually do similar things. (The pile of "cool paper, read when time" just keeps growing.)  Hence, I'm wondering: What is the most time efficient way to get a thorough overview of the literature in a specific niche of a field?    While searching for an answer I came across these questions:   - This question is quite similar and I liked the approach. I debated with myself if this is a duplicate, but I think it is focused more on how to be sure the search was exhaustive, whereas I'm worried about time efficiency. (Also, I'm a bit curious if things have changed since 2012.)   - The answer provides tips on how to identify what literature generally is important in a field, but I am looking for the most cost effective (least time consuming) way to do it in an area, where I know the broad literature, but not the specifics.
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What are the best strategies for assessing if a journal is a &quot;vanity&quot; or &quot;predatory&quot; journal that should be avoided (both for publishing in and reviewing for)? For example, how would one go about determining if a journal/publisher belongs on ?
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I arrived at the printer room this afternoon to collect my printing and I happened to notice that someone was yet to collect a printout of  that has been all over the scientific news the last few days/weeks. Of course, I was curious, so I had a peek.  It struck me that there was only one author... until I saw the asterisk indicating a full list of authors could be found at the end of the article.  There I found three full pages of authors. I have no intention of counting the exact number, but a quick estimate by word count suggests there are over 1000 authors from 133 institutions.  You always need to give credit where credit is due, that is a given. But to put it in context, there are at most 7 words of article per author. In fact, I can think of a number of problems coming from so many authors (like who do you contact if you have a question - the list is alphabetical and there doesn't appear to be a designated contact person).  What is the value of listing so many authors and why should (or shouldn't) it happen?  Update: Thanks everyone for the thoughtful answers. As much as I want to choose an answer, I honestly cannot decide between the two most upvoted, so I'm going to abstain from choosing one.
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From my understanding many CS conferences are highly selective and the papers are peer-reviewed. The CS field also seems to publish traditional journal articles. I do not understand the difference between the two and in particular I am curious about the advantages of having two different publication streams. The type of things I am curious about are:   What is the difference between a paper published in a top CS conference and a top specialist journal? Is one more prestigious than another and if so how do they line up? Why not just publish conference papers as a special issues of a journal?
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Does anyone know a good online source for guidelines for shortening journal articles?  I've just finished a paper that I'm going to submit soon, but I think it is far too long.  Its current length is 30 journal pages.  (I know that because I've obsessively figured out what formatting would get me to have 1 word processed page for each journal page of a specific journal.)  This is in the humanities.  So I just want some good guidelines for things like "get rid of 'the fact that'."  The only such things that I found online were directed at people writing their college-admissions essay, which has to be very short, like 500 words.
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Many times I heard about papers published in conference. But still I am not able to find the major difference between papers published in a conference and those published in a journal. What is the difference?
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If you go on the  (now, 8th December 2020, 19:24 Italian time), there is for example the article &quot;Exploring the Usage of Online Food Delivery Data for Intra-Urban Job and Housing Mobility Detection and Characterization&quot;. This article is under the heading &quot;8 December&quot;. But if you , it was &quot;Submitted on 4 Dec 2020&quot;. Why there is a lag between submission time and the header under which it appears for recent publications? I guess the arXiv staff have to approve the article before is being published .... is my guessing correct?