Evaluation of Authors and Journals
Joseph B. Keller
TL;DR
This paper introduces a novel eigenvector-based method for evaluating authors and journals based on citation networks, providing a mathematically rigorous way to assess scholarly impact.
Contribution
It presents a new eigenvector approach to quantify author and journal influence from citation data, extending to other network evaluations.
Findings
Citation scores depend on the scores of citers.
Eigenvector method effectively ranks authors and journals.
Applicable to various network evaluation scenarios.
Abstract
A method is presented for evaluating authors on the basis of citations. It assigns to each author a citation score which depends upon the number of times he is cited, and upon the scores of the citers. The scores are found to be the components of an eigenvector of a normalized citation matrix. The same method can be applied to citation of journals by other journals, to evaluating teams in a league [1], etc.
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Taxonomy
Topicsscientometrics and bibliometrics research · Academic Writing and Publishing · Academic Publishing and Open Access