Equality of Google Scholar with Web of Science Citations: Case of Malaysian Engineering Highly Cited Papers
Nader Ale Ebrahim
University
of Malaya (UM) - Department of Engineering Design and Manufacture,
Faculty of Engineering; University of Malaya (UM) - Research Support
Unit, Centre of Research Services, Institute of Research Management and
Monitoring (IPPP)
Hadi Salehi
Islamic Azad University, Najafabad Branch
Mohamed Amin Embi
Universiti Kebangsaan Malaysia - Faculty of Education
Mahmoud Danaee
Islamic Azad University (IAU) - Department of Agriculture
Marjan Mohammadjafari
University of Malaya (UM)
Azam Zavvari
National University of Malaysia
Masoud Shakiba
National University of Malaysia
Masoomeh Shahbazi-Moghadam
Universiti Teknologi Malaysia (UTM)
August 6, 2014
Modern Applied Science, vol. 8, no. 5, pp. 63-69
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.
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.
Number of Pages in PDF File: 7
Keywords:
Bibliometrics, Citation analysis, Evaluations, Equivalence, Google
Scholar, High cited, ISI Web of Science, Research tools, H-index
JEL Classification: L11, L1, L2, M11, M12, M1, M54, Q1, O1, O3, P42, P24, P29, Q31, Q32, L17
Accepted Paper Series
Equality of Google Scholar with Web of Science Citations: Case of Malaysian Engineering Highly Cited Papers by Nader Ale Ebrahim, Hadi Salehi, Mohamed Amin Embi, Kaveh Bakhtiyari, Mahmoud Danaee, Marjan Mohammadjafari, Azam Zavvari, Masoud Shakiba, Masoomeh Shahbazi-Moghadam :: SSRN