Citation of scholars in co-authorship network: Analysis of Google Scholar data

Nataliya Matveeva () and Oleg Poldin
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Nataliya Matveeva: National Research University Higher School of Economics, Nizhny Novgorod, Russian Federation

Applied Econometrics, 2016, vol. 44, 100-118

Abstract: In this study, we analyze correlations between the co-authorship network parameters and citation characteristics in Google Scholar. We estimate the count data regression model in a sample of more than 30 thousand authors with the first citation after 2007. There is a positive relationship between scholar’s citation counts and number of co-authors, between citations and the author’s centrality, and between scholar’s citations and the average citation of co-authors. The h-index and i10 index are significantly associated with the number of co-authors and average citation of co-authors.

Keywords: scientometrics; co-authorship network; bibliometric analysis; Google Scholar; count data models. (search for similar items in EconPapers)
JEL-codes: A14 D83 Z13 (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (1)

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