Google Scholar, Scopus and the Web of Science: a longitudinal and cross-disciplinary comparison
ToolsHarzing, Anne-Wil and Alakangas, Satu
(2015)
Google Scholar, Scopus and the Web of Science: a longitudinal and cross-disciplinary comparison.
Scientometrics
.
ISSN
0138-9130(Accepted/In Press)
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Official URL: http://dx.doi.org/10.1007/s11192-015-1798-9
This item is available in: Library Catalogue
Abstract
This
article aims to provide a systematic and comprehensive comparison of
the coverage of the three major bibliometric databases: Google Scholar,
Scopus and the Web of Science. Based on a sample of 146 senior academics
in five broad disciplinary areas, we therefore provide both a
longitudinal and a cross-disciplinary comparison of the three databases.
article aims to provide a systematic and comprehensive comparison of
the coverage of the three major bibliometric databases: Google Scholar,
Scopus and the Web of Science. Based on a sample of 146 senior academics
in five broad disciplinary areas, we therefore provide both a
longitudinal and a cross-disciplinary comparison of the three databases.
Our
longitudinal comparison of eight data points between 2013 and 2015
shows a consistent and reasonably stable quarterly growth for both
publications and citations across the three databases. This suggests
that all three databases provide sufficient stability of coverage to be
used for more detailed cross-disciplinary comparisons.
longitudinal comparison of eight data points between 2013 and 2015
shows a consistent and reasonably stable quarterly growth for both
publications and citations across the three databases. This suggests
that all three databases provide sufficient stability of coverage to be
used for more detailed cross-disciplinary comparisons.
Our
cross-disciplinary comparison of the three databases includes four key
research metrics (publications, citations, h-index, and hI,annual, an
annualised individual h-index) and five major disciplines (Humanities,
Social Sciences, Engineering, Sciences and Life Sciences). We show that
both the data source and the specific metrics used change the
conclusions that can be drawn from cross-disciplinary comparisons.
cross-disciplinary comparison of the three databases includes four key
research metrics (publications, citations, h-index, and hI,annual, an
annualised individual h-index) and five major disciplines (Humanities,
Social Sciences, Engineering, Sciences and Life Sciences). We show that
both the data source and the specific metrics used change the
conclusions that can be drawn from cross-disciplinary comparisons.
| Item Type: | Article |
|---|---|
| Additional Information: | First online: 26 November 2015 Video presentation: https://www.youtube.com/watch?v=ZJFbra9WEiI&feature=youtu.be Presentation slides: http://www.harzing.com/download/madrid.pdf |
| Research Areas: | A. > Business School > International Management and Innovation > International and Cross-cultural Management group |
| Item ID: | 18511 |
| Notes on copyright: | The final publication is available at Springer via http://dx.doi.org/10.1007/s11192-015-1798-9 |
| Useful Links: | |
| Depositing User: | Anne-Wil Harzing |
| Date Deposited: | 01 Dec 2015 10:35 |
| Last Modified: | 21 Jan 2016 18:34 |
| URI: | http://eprints.mdx.ac.uk/id/eprint/18511 |
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