Abstract
This study uses citation analysis from two citation tracking databases, Google Scholar (GS) and ISI Web of Science, in order to test the correlation between them and examine the effect of the number of paper versions on citations. The data were retrieved from the Essential Science Indicators and Google Scholar for 101 highly cited papers from Malaysia in the field of engineering. An equation for estimating the citation in ISI based on Google scholar is offered. The results show a significant and positive relationship between both citation in Google Scholar and ISI Web of Science with the number of versions. This relationship is higher between versions and ISI citations (r = 0.395, p<0.01) than between versions and Google Scholar citations (r = 0.315, p<0.01). Free access to data provided by Google Scholar and the correlation to get ISI citation which is costly, allow more transparency in tenure reviews, funding agency and other science policy, to count citations and analyze scholars’ performance more precisely.
Highlights
Citation index as a type of Bibliometrics method traces the references in a published article
The number of citations which were derived from Web of Knowledge platform hereafter are called Institute for Scientific Information (ISI) citation
This relationship was higher between versions and ISI citations (r = 0.395, p
Summary
Citation index as a type of Bibliometrics method traces the references in a published article. Citations are applied to evaluate the academic performance and the importance of information contained in an article (Zhang, 2009). This feature helps researchers get a preliminary idea of the articles and research that make an impact in a field of interest. Google Inc. released the beta version of ‘Google Scholar’ (GS) (http://scholar.google.com) in November 2004 (Pauly & Stergiou, 2005) These three tools, ISI from Thomson Reuters, Google Scholar (GS) from Google Inc. and Scopus from Elsevier are used by academics to track their citation rates. The researchers need to estimate their citation in ISI by knowing the GS www.ccsenet.org/mas
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