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Scoring the resourcefulness of researchers using bibliographic coupling patterns

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 p...

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Main Authors: Prathap, Gangan, Abu Ujum, Ephrance, Kumar, Sameer, Ratnavelu, Kuru
Format: Article
Published: Elsevier 2021
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://eprints.um.edu.my/26615/
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spelling my.um.eprints.266152022-03-29T07:30:33Z http://eprints.um.edu.my/26615/ Scoring the resourcefulness of researchers using bibliographic coupling patterns Prathap, Gangan Abu Ujum, Ephrance Kumar, Sameer Ratnavelu, Kuru QA75 Electronic computers. Computer science 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. Elsevier 2021-08 Article PeerReviewed 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 https://doi.org/10.1016/j.joi.2021.101168 <https://doi.org/10.1016/j.joi.2021.101168>. 10.1016/j.joi.2021.101168
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Prathap, Gangan
Abu Ujum, Ephrance
Kumar, Sameer
Ratnavelu, Kuru
Scoring the resourcefulness of researchers using bibliographic coupling patterns
description 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.
format Article
author Prathap, Gangan
Abu Ujum, Ephrance
Kumar, Sameer
Ratnavelu, Kuru
author_facet Prathap, Gangan
Abu Ujum, Ephrance
Kumar, Sameer
Ratnavelu, Kuru
author_sort Prathap, Gangan
title Scoring the resourcefulness of researchers using bibliographic coupling patterns
title_short Scoring the resourcefulness of researchers using bibliographic coupling patterns
title_full Scoring the resourcefulness of researchers using bibliographic coupling patterns
title_fullStr Scoring the resourcefulness of researchers using bibliographic coupling patterns
title_full_unstemmed Scoring the resourcefulness of researchers using bibliographic coupling patterns
title_sort scoring the resourcefulness of researchers using bibliographic coupling patterns
publisher Elsevier
publishDate 2021
url http://eprints.um.edu.my/26615/
_version_ 1735409435511095296
score 13.160551

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