Equality of Google Scholar with Web of Science Citations: Case of Malaysian Engineering Highly Cited Papers
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.
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.
DOI: 10.5539/mas.v8n5p63
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