Bibliometric author evaluation through linear regression on the coauthor network
Digital Libraries
2017-02-07 v2
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
Cite
@article{arxiv.1504.03115,
title = {Bibliometric author evaluation through linear regression on the coauthor network},
author = {Rasmus A. X. Persson},
journal= {arXiv preprint arXiv:1504.03115},
year = {2017}
}
Comments
13 pages, 2 figures