Global Distribution of Google Scholar Citations: A Size-independent Institution-based Analysis

Taniya Seth · Pranab Kumar Muhuri

6 citations0/0 files storedJournal of Scientometric Research

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scientometrics and bibliometrics research Higher Education Governance and Development Web visibility and informetrics

Abstract

Most currently available schemes for performance based ranking of Universities or Research organizations, such as, Quacarelli Symonds (QS), Times Higher Education (THE), Shanghai University based All Research of World Universities (ARWU) use a variety of criteria that include productivity, citations, awards, reputation, etc., while Leiden and Scimago use only bibliometric indicators. The research performance evaluation in the aforesaid cases is based on bibliometric data from Web of Science or Scopus, which are commercially available priced databases. The coverage includes peer reviewed journals and conference proceedings. Google Scholar (GS) on the other hand, provides a free and open alternative to obtaining citations of papers available on the net, (though it is not clear exactly which journals are covered.) Citations are collected automatically from the net and also added to self created individual author profiles under Google Scholar Citations (GSC). This data was used by Webometrics Lab, Spain to create a ranked list of 4000+ institutions in 2016, based on citations from only the top 10 individual GSC profiles in each organization. (GSC excludes the top paper for reasons explained in the text; the simple selection procedure makes the ranked list size-independent as claimed by the Cybermetrics Lab). Using this data (Transparent Ranking TR, 2016), we find the regional and country wise distribution of GS-TR Citations. The size independent ranked list is subdivided into deciles of 400 institutions each and the number of institutions and citations of each country obtained for each decile. We test for correlation between institutional ranks between GS TR and the other ranking schemes for the top 20 institutions.

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2007Comparison of PubMed, Scopus, Web of Science, and Google Scholar: strengths and weaknesses 2007Google Scholar as a new source for citation analysis 2011Is Google Scholar useful for bibliometrics? A webometric analysis 2005Google Scholar: The New Generation of Citation Indexes 2012A preliminary test of Google Scholar as a source for citation data: a longitudinal study of Nobel prize winners 2010Counting the citations: a comparison of Web of Science and Google Scholar in the field of business and management 2006A New Era in Citation and Bibliometric Analyses: Web of Science, Scopus, and Google Scholar 2013A longitudinal study of Google Scholar coverage between 2012 and 2013

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