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Re:Understanding the state of Artificial Intelligence academ... by barbegal on Saturday January 13, 2018 @10:43AM (#16139941)
I wouldn't trust any of the graphs or much of the statistical analysis. I was particularly intrigued by the last graph showing the geographic distribution of research. Thankfully, the author has published their methodology on github [1] so we can see that this data is in fact just papers published in the "Energy" category containing the words "artificial intelligence" somewhere in them. This explains why Iran and Malaysia rank above many European nations.

[1] https://github.com/gianlucahmd/Science_Direct_API_trends_ana...

Re:Understanding the state of Artificial Intelligence academ... by kenjackson on Saturday January 13, 2018 @11:20AM (#16140067)
Where in the code does it indicate this?
Re:Understanding the state of Artificial Intelligence academ... by barbegal on Saturday January 13, 2018 @11:28AM (#16140096)
In the "Get most active nations" section the URL being queried is:

"http://api.elsevier.com/content/search/scopus?apiKey=" + apikey + "&query=Artificial+Intelligence+" + query + "&subj=ener" + "&start=" + str(start)

And "ener" is the id for the energy subject.

Re:Understanding the state of Artificial Intelligence academ... by kenjackson on Saturday January 13, 2018 @02:15PM (#16140819)
Thanks. That is really odd.
Re:Understanding the state of Artificial Intelligence academ... by tischler on Saturday January 13, 2018 @03:48PM (#16141313)
Maybe it is a typo: ENER (Energy) vs ENGI (Engineering)? Is there anyone with a Science Direct API key to check what the actual numbers look like?