Forty Years of <i>Computational Intelligence</i> : A Bibliometric Retrospective

ABSTRACT In 2025, the Computational Intelligence journal celebrates the 40th anniversary. Motivated by this event, this paper conducts a bibliometric analysis of the journal between 1985 and 2024 by using the Scopus and Web of Science databases. The aim is to explore the research trends, development, topic clusters, and key contributors in Computational Intelligence . The study also employs the VOSviewer and bibliometrix software to visualize co‐citation networks, bibliographic coupling, and co‐occurrence patterns to map the intellectual structure of the journal. The analysis shows that early theories were introduced primarily by Canadian and American researchers, while more recent contributions are increasingly coming from developing countries such as China and India, reflecting the global changing research trends. The exploration reveals the evolution of topics over time, highlighting the transition from early symbolic artificial intelligence and logic‐based reasoning towards modern developments in deep learning, big data, and machine learning. The study highlights Computational Intelligence 's past achievements while outlining its future direction, emphasizing collaboration, diversity, and innovation as key to sustaining its academic excellence.

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Publication Details

Journal
Computational Intelligence
Published
2026-02-26
DOI
https://doi.org/10.1111/coin.70201
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Forty Years of Computational Intelligence : A Bibliometric Retrospective

Diana Inkpen, Jose M Merigo, Muhammad Saqlain, Poom Kumam
Computational Intelligence
Artificial Intelligence in Healthcare and Education
article

Forty Years of Computational Intelligence : A Bibliometric Retrospective

Diana Inkpen, Jose M Merigo, Muhammad Saqlain, Poom Kumam
article en

Abstract

ABSTRACT In 2025, the Computational Intelligence journal celebrates the 40th anniversary. Motivated by this event, this paper conducts a bibliometric analysis of the journal between 1985 and 2024 by using the Scopus and Web of Science databases. The aim is to explore the research trends, development, topic clusters, and key contributors in Computational Intelligence . The study also employs the VOSviewer and bibliometrix software to visualize co‐citation networks, bibliographic coupling, and co‐occurrence patterns to map the intellectual structure of the journal. The analysis shows that early theories were introduced primarily by Canadian and American researchers, while more recent contributions are increasingly coming from developing countries such as China and India, reflecting the global changing research trends. The exploration reveals the evolution of topics over time, highlighting the transition from early symbolic artificial intelligence and logic‐based reasoning towards modern developments in deep learning, big data, and machine learning. The study highlights Computational Intelligence 's past achievements while outlining its future direction, emphasizing collaboration, diversity, and innovation as key to sustaining its academic excellence.

Computational IntelligenceVol. 42(2)
University of Technology Sydney (AU), University of Ottawa (CA), King Mongkut's University of Technology Thonburi (TH)
Industry, innovation and infrastructure
Openalex Percentile: Top 32%
Artificial Intelligence in Healthcare and Education
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