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arXiv · 1504.03115

Bibliometric author evaluation through linear regression on the coauthor network

Rasmus A. X. Persson
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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.

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BibTeXRIS

Rasmus A. X. Persson. 2015-04-13. Bibliometric author evaluation through linear regression on the coauthor network. https://doi.org/10.1016/j.joi.2017.01.003

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