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July 8, 2020 by Gary Price

2020 Google Scholar Metrics Released

July 8, 2020 by Gary Price

Update July 14, 2020 Google Scholar Reveals its Most Influential Papers For 2020 (via Nature Index)

Google Scholar has released its annual ranking of most highly-ited publications. Artificial intelligence (AI) research dominates once again, accumulating huge numbers of citations over the past year.

Direct to Complete Article

—End Update—

From the Google Scholar Blog by Anurag Acharya:

Scholar Metrics provide an easy way for authors to quickly gauge the visibility and influence of recent articles in scholarly publications. Today, we are releasing the 2020 version of Scholar Metrics. This release covers articles published in 2015–2019 and includes citations from all articles that were indexed in Google Scholar as of June 2020.

Scholar Metrics include journals from websites that follow our inclusion guidelines and selected conferences in Engineering & Computer Science. Publications with fewer than 100 articles in 2015-2019, or publications that received no citations over these years are not included.

[Clip]

Scholar Metrics include a large number of publications beyond those listed on the per-category and per-language pages. You can find these by typing words from the title in the search box, e.g., [gender], [infectious], [employment].

Direct to Complete Blog Post

Direct to 2020 Version of Google Scholar Metrics

Filed under: Journal Articles, News

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About Gary Price

Gary Price (gprice@gmail.com) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area. He earned his MLIS degree from Wayne State University in Detroit. Price has won several awards including the SLA Innovations in Technology Award and Alumnus of the Year from the Wayne St. University Library and Information Science Program. From 2006-2009 he was Director of Online Information Services at Ask.com. Gary is also the co-founder of infoDJ an innovation research consultancy supporting corporate product and business model teams with just-in-time fact and insight finding.

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