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A novel approach based on journal coupling to determine authors who are most likely to be part of the same invisible college Cover

A novel approach based on journal coupling to determine authors who are most likely to be part of the same invisible college

Journal of Data and Information Science
Volume 10 (2025): Issue 1 (February 2025)
By: Jose A. Garcia,  Rosa Rodriguez-Sanchez and  J. Fdez-Valdivia  
Open Access
|Dec 2024
DOI: https://doi.org/10.2478/jdis-2025-0006 | Journal eISSN: 2543-683X | Journal ISSN: 2096-157X
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Language: English
Page range: 101 - 131
Submitted on: Sep 11, 2024
Accepted on: Nov 19, 2024
Published on: Dec 11, 2024
Published by: Chinese Academy of Sciences, National Science Library
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Authors,
Journal Coupling,
Clustering,
Invisible College,
IS&LS Category,
Web of Science Core Collection
Related subjects:
Computer sciences,
Information technology,
Project management,
Databases and data mining

© 2024 Jose A. Garcia, Rosa Rodriguez-Sanchez, J. Fdez-Valdivia, published by Chinese Academy of Sciences, National Science Library
This work is licensed under the Creative Commons Attribution 4.0 License.

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