On Google Scholar, I can explore the related articles or books individually - clicking on the "related articles" gives you the related articles for that specific publication.

How will I find the most related publications for a batch of articles/books?

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    I'm not aware of any service that lets you do that. It seems like a nontrivial research question.
    – Suresh
    Mar 22, 2014 at 0:06
  • Do you just want for each article in the list those articles most related to it (in which case it shouldn't be too hard to write a script utilizing Google Scholar for it), or do you want the articles most related to the collection of articles in your list? The latter indeed sounds difficult even to define!
    – Arno
    Mar 22, 2014 at 10:37
  • @Arno Definitely the latter. Let's say there is an article A in my library. When I click on "related articles" button, let's say, there is an article X on the second page of related articles. When I click on the article B in my library, let's assume, X pops up on the third page. Continuing on the articles in my library, X reoccurs on several occasions, on either first or second, or third page. So, is there any way that such system will tell me that "dude, X kind of important! I can see it's related to all of your articles somehow. Better check that out!"? Mar 22, 2014 at 14:08

1 Answer 1


What you are asking for might be possible by writing your own program (e.g. in Python) to access the Google Scholar API. In fact it would make a good assignment for a Python programming / Text processing class. But unless you are a programmer with extra time on your hands, you shouldn't attempt it.

For what it's worth, I almost never use "related articles" feature of Google Scholar. The few times I did use it, there wasn't always such a close relationship, and it certainly didn't bring up the articles that I saw as most related.

I don't think there's any substitute for reading the papers, at least the important ones, to find the most salient related papers. I do this both through direct citations and also by finding key terms that I use for new Google Scholar searches.

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