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Generative AI and the scientific landscape: a bibliometric exploration of its global impact

Journal
International Journal of Combinatorial Optimization Problems and Informatics
Publisher
Editorial Académica Dragón Azteca
Date Issued
2026-02-16
Author(s)
Cossio Franco, Edgar Gonzalo
Sossa Azuela, Juan Humberto
Larios Rosillo, Víctor Manuel
Maciel Arellano, Rocio
Arreola Marín, María Esmeralda
Chávez Marcial, Mariela
Alcántar Alcántar, José Iraic
Viñas Álvarez, Samuel Efrén
Type
Article
DOI
10.61467/2007.1558.2026.v17i2.1281
URL
https://scripta.up.edu.mx/handle/20.500.12552/12884
Abstract
The present comparative bibliometric study (2020-2025) of the Scopus and WoS databases on Generative Artificial Intelligence (GenAI) reveals accelerated growth, concentrating more than 95% of the production and reaching its peak impact in 2025. Thematically, the intersection of communication and technology/education dominates. Geographically, the United States leads production, but Asia-Pacific institutions (Hong Kong) are key. The field of GenAI is a massive trend driven by concentrated collaboration between North America and Asia.
Subjects

Generative Artificial...

Artificial Intelligen...

License
Acceso Abierto.
URL License
https://creativecommons.org/licenses/by/4.0/
How to cite
Cossio Franco, E. G., Sossa Azuela, J. H., Larios Rosillo, V. M., Maciel Arellano, R., Arreola Marín, M. E., Chávez Marcial, M., Alcántar Alcántar, J. I., Viñas Álvarez, S. E., Briseño Martínez, R. A., & Del Valle Soto, C. (2026). Generative AI and the scientific landscape: a bibliometric exploration of its global impact. International Journal of Combinatorial Optimization Problems and Informatics, 17(2), 1–13. https://doi.org/10.61467/2007.1558.2026.v17i2.1281
Table of contents
Introduction -- Literature Review -- Methodology -- Results -- Conclusions.

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