Bibliometric author evaluation through linear regression on the coauthor network

Rasmus A.X. Persson

Journal of Informetrics, 2017, vol. 11, issue 1, 299-306

Abstract: The rising trend of coauthored academic works obscures the credit assignment that is the basis for decisions of funding and career advancements. In this paper, a simple model based on the assumption of an unvarying “author ability” is introduced. With this assumption, the weight of author contributions to a body of coauthored work can be statistically estimated. The method is tested on a set of some more than five-hundred authors in a coauthor network from the CiteSeerX database. The ranking obtained agrees fairly well with that given by total fractional citation counts for an author, but noticeable differences exist.

Keywords: Multiple authorship; Statistical method; Coauthor contribution (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:infome:v:11:y:2017:i:1:p:299-306

DOI: 10.1016/j.joi.2017.01.003

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