Computational Intelligence

31.8k citations
1.3k papers · · active since 1985

Impact in

    • Sentiment Analysis and Opinion Mining
    • Logic, Reasoning, and Knowledge
    • AI-based Problem Solving and Planning
    • Multi-Agent Systems and Negotiation
    • Bayesian Modeling and Causal Inference
    • Natural Language Processing Techniques
    • Rough Sets and Fuzzy Logic

Papers in

    • Logic, Reasoning, and Knowledge 99
    • AI-based Problem Solving and Planning 83
    • Natural Language Processing Techniques 55
    • Multi-Agent Systems and Negotiation 40
    • Sentiment Analysis and Opinion Mining 27
    • Bayesian Modeling and Causal Inference 21
    • Rough Sets and Fuzzy Logic 30

Computational Intelligence

959 papers receiving 24.7k citations

Peers

Computational Intelligence
Comparison fields: 5 of 165
  • Artificial Intelligence 12.7k
  • Computational Theory and Mathematics 2.1k
  • Management Science and Operations Research 972
  • Computer Networks and Communications 1.5k
  • Information Systems 1.3k
Replace Annals of Mathematics and Artificial Intelligence with:
Annals of Mathematics and Artificial Intelligence United States
AI Magazine United States
Journal of Experimental & Theoretical Artificial Intelligence United States
Cognitive Computation China
Intelligent Data Analysis China
Applied Artificial Intelligence China
Journal of Computational Science United States
International Journal of Uncertainty Fuzziness and Knowledge-Based Systems China
Complex & Intelligent Systems China
International Journal of Parallel Programming United States
Computational Intelligence relative to Annals of Mathematics and Artificial Intelligence United States Annals of Mathematics and Artificial Intelligence's profile →
Citations per field
00.5×1.5×2×2.3×
Annals of Mathematics and Artificial Intelligence · 1×
Citations per year

Countries where authors publish in Computational Intelligence

Since Specialization
Citations

This map shows the geographic impact of research published in Computational Intelligence. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by papers published in Computational Intelligence with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Computational Intelligence more than expected).

Fields of papers published in Computational Intelligence

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Computational Intelligence. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Computational Intelligence.

About Computational Intelligence

The 1.3k papers published in Computational Intelligence in the last decades have received a total of 31.8k indexed citations . Papers published in Computational Intelligence usually cover Artificial Intelligence (535 papers), Computational Theory and Mathematics (46 papers), Computer Vision and Pattern Recognition (69 papers), Information Systems (62 papers) and Computer Networks and Communications (51 papers) specifically the topics of Logic, Reasoning, and Knowledge (99 papers), AI-based Problem Solving and Planning (83 papers), Natural Language Processing Techniques (55 papers), Multi-Agent Systems and Negotiation (40 papers), Rough Sets and Fuzzy Logic (30 papers), Sentiment Analysis and Opinion Mining (27 papers), Constraint Satisfaction and Optimization (22 papers) and Bayesian Modeling and Causal Inference (21 papers). The most active scholars publishing in Computational Intelligence are Saif M. Mohammad, Peter D. Turney, Matthew L. Ginsberg, Patrick Prosser, Thomas Dean, Fahiem Bacchus A, Keiji Kanazawa, Henri M. Prade, Didier Dubois A and Nathalie Japkowicz.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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