How Network Characteristics of Researchers Relate to Their Citation Indicators – A Co-Authorship Network Analysis Based on Google Scholar

21 Pages Posted: 2 Oct 2017 Last revised: 5 Oct 2017

See all articles by Nataliya Matveeva

Nataliya Matveeva

National Research University Higher School of Economics

Oleg Poldin

National Research University Higher School of Economics

Date Written: September 29, 2017

Abstract

The most common quantitative estimates of scientific performance are based on citation indices, and it is meaningful to identify what affects these indicators. In this work, we analyze the correlations between the citation characteristics of researchers and their co-authorship network parameters, which indicate the position of scientists in an academic network. To surpass the shortcoming of previous works we use a large sample and separate researchers by the year of their first citation. For constructing a co-authorship network, we used data about researchers from different disciplines, who have profiles in Google Scholar. The results of a count data regression model indicate that citations positively correlate with the number of co-authors, with position of the researcher in the co-authorship network (closeness centrality), and with the average number of co-author' citation. Also we reveal that the h-index and the i10-index are significantly associated with the number of co-authors and the average number of co-author citations. Based on these results, we can conclude that researchers who maintain more contacts and are more active than others have better bibliometric indicators on the average.

Keywords: co-authorship network; bibliometric analysis; Google Scholar; count data models

JEL Classification: A140; D830; Z130

Suggested Citation

Matveeva, Nataliya and Poldin, Oleg, How Network Characteristics of Researchers Relate to Their Citation Indicators – A Co-Authorship Network Analysis Based on Google Scholar (September 29, 2017). Higher School of Economics Research Paper No. WP BRP 44/EDU/2017, Available at SSRN: https://ssrn.com/abstract=3045172 or http://dx.doi.org/10.2139/ssrn.3045172

Nataliya Matveeva (Contact Author)

National Research University Higher School of Economics ( email )

136, Rodionova street
25/12, Bolshaya pecherskaya street
Nizhniy Novgorod, 603155
Russia

Oleg Poldin

National Research University Higher School of Economics ( email )

Myasnitskaya street, 20
Moscow, Moscow 119017
Russia

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