I spend a lot of time on google scholar making sure I haven't missed relevant literature. Usually this means scrolling through the "cited by" list one by one for at least 5-10 major papers on the topic.

It occurs to me that this could be done better and faster by a computer. Has anyone made software that does something like the following?

Input: A collection of papers

Output: Some papers similar to the input papers, based on citations or semantic analysis

I have in mind something like the "related papers" link on google scholar, but accepting more than one paper as input.

  • 1
    Mendeley tries this.
    – henning
    Sep 4 '20 at 16:00
  • Thanks! This helps. It sounds like they have the methods I already use, plus Mendeley suggest (which I'll now try out). It's really good to learn about this.
    – oneguy
    Sep 4 '20 at 19:42

You may want to have a look at https://www.meta.org/ - you can create research interests and the search engine then suggests relevant articles for you (or tries to), based on machine learning.

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