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Scoring the resourcefulness of researchers using bibliographic coupling patterns

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

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.

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  • Prathap, Gangan & Ujum, Ephrance Abu & Kumar, Sameer & Ratnavelu, Kuru, 2021. "Scoring the resourcefulness of researchers using bibliographic coupling patterns," Journal of Informetrics, Elsevier, vol. 15(3).
    • Handle: RePEc:eee:infome:v:15:y:2021:i:3:s1751157721000390
    DOI: 10.1016/j.joi.2021.101168
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