2015 Google Scholar Metrics Released Online
From the Google Scholar Blog:
…we are releasing the 2015 version of Scholar Metrics. This release is based on citations from all articles that were indexed in Google Scholar as of mid-June 2015 and covers articles published in 2010–2014.
Scholar Metrics include journal articles from websites that follow our inclusion guidelines, selected conference articles in Computer Science & Electrical Engineering and preprints from arXiv, SSRN, NBER, and RePEc. As in previous releases, publications with fewer than 100 articles in the covered period, or publications that received no citations are not included.
You can browse publications in specific categories such as African Studies & History, Computer Vision and Pattern Recognition or Oral & Maxillofacial Surgery as well as broad areas like Business, Economics & Management or Chemical & Material Sciences.
You will see the top 20 publications ordered by their five-year h-index and h-median metrics. Since articles published in 2009 are not included anymore, most publications have a renewed h-core (the top h most cited articles) that you can see by clicking on the h-index number.
Fun fact: while computing the 2015 metrics, we saw over 9,000 different ways to refer to the IEEE Conference on Computer Vision and Pattern Recognition and over 4,000 ways to refer to the AAAI Conference on Artificial Intelligence.
See Also: Google Scholar Metrics Overview
On a Related Note…A Look Inside the 2015 Journal Citation Reports & JCR Infographic (June 18, 2015)
About Gary Price
Gary Price (email@example.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.