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

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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

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

Authors

Jose A. Garcia

jags@decsai.ugr.es

Department of Computer Science and Artificial Intelligence, CITIC-UGR, Universidad de Granada, Granada, Spain

Rosa Rodriguez-Sanchez

Department of Computer Science and Artificial Intelligence, CITIC-UGR, Universidad de Granada, Granada, Spain

J. Fdez-Valdivia

Department of Computer Science and Artificial Intelligence, CITIC-UGR, Universidad de Granada, Granada, Spain

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:

Journal Coupling,

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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