Scoring the resourcefulness of researchers using bibliographic coupling patterns

Prathap, Gangan and Abu Ujum, Ephrance and Kumar, Sameer and Ratnavelu, Kuru (2021) Scoring the resourcefulness of researchers using bibliographic coupling patterns. Journal of Informetrics, 15 (3). ISSN 1751-1577, DOI

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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.

Item Type: Article
Uncontrolled Keywords: Citation analysis; Ranking; Networks; Bibliometrics; Algorithm; Author follow-score
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science > Institute of Mathematical Sciences
Deputy Vice Chancellor (Academic & International) Office > Asia-Europe Institute
Depositing User: Ms. Juhaida Abd Rahim
Date Deposited: 29 Mar 2022 07:30
Last Modified: 29 Mar 2022 07:30

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