Scoring the resourcefulness of researchers using bibliographic coupling patterns

Gangan Prathap, Ephrance Abu Ujum, Sameer Kumar and Kuru Ratnavelu

Journal of Informetrics, 2021, vol. 15, issue 3

Abstract: Networks constructed from citation and publication data can be mined to find top-ranking authors or papers using graph-theoretic algorithms. This article proposes an indicator called the “follow-score” that identifies which authors are the most resourceful to “follow” in terms of referencing patterns within a given body of literature. For testing purposes, we use Web of Science indexed publications under the subject category of “Information Science & Library Science” between the years 2008 and 2018 inclusive. Using the top-ranking follow-worthy authors, we search the study dataset for other similar researchers using cosine similarity.

Keywords: Citation analysis; Ranking; Networks; Bibliometrics; Algorithm; Author follow-score (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:infome:v:15:y:2021:i:3:s1751157721000390

DOI: 10.1016/j.joi.2021.101168

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