Computational Intelligence

Aims & Scope

This leading international journal promotes and stimulates research in the field of artificial intelligence (AI).

Covering a wide range of issues - from the tools and languages of AI to its philosophical implications - Computational Intelligence provides a vigorous forum for the publication of both experimental and theoretical research, as well as surveys and impact studies.

The journal is designed to meet the needs of a wide range of AI workers in academic and industrial research.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	1.7
2024	1.80

Journal Rank

Year	Value
2024	10037

Journal Citation Indicator

Year	Value
2024	981

SJR (SCImago Journal Rank)

Year	Value
2024	0.578

Quartile

Year	Value
2024	Q2

h-index

Year	Value
2024	60

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science and Mathematics, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• CROWDSOURCING A WORD–EMOTION ASSOCIATION LEXICON

  Citation: 1538

  Authors: Saif M., Peter D.

• A Multiple Resampling Method for Learning from Imbalanced Data Sets

  Citation: 762

  Authors: Andrew, Taeho, Nathalie

• Plans and resource‐bounded practical reasoning

  Citation: 605

  Authors: Michael E., David J., Martha E.

• Representation and combination of uncertainty with belief functions and possibility measures

  Citation: 547

  Authors: Didler, Henri

• A Survey of Techniques for Event Detection in Twitter

  Citation: 497

  Authors: Farzindar, Wael

• LEARNING BAYESIAN BELIEF NETWORKS: AN APPROACH BASED ON THE MDL PRINCIPLE

  Citation: 457

  Authors: Wai, Fahiem

• SENTIMENT CLASSIFICATION of MOVIE REVIEWS USING CONTEXTUAL VALENCE SHIFTERS

  Citation: 443

  Authors: Alistair, Diana

• A model for reasoning about persistence and causation

  Citation: 430

  Authors: Thomas, Keiji

• INCREMENTAL CONCEPT FORMATION ALGORITHMS BASED ON GALOIS (CONCEPT) LATTICES

  Citation: 363

  Authors: Robert, Rokia, Hassan

• Multivalued logics: a uniform approach to reasoning in artificial intelligence

  Citation: 341

  Authors: Matthew L.

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