IEEE Computational Intelligence Magazine

30.7k citations
547 papers · · active since 1950

Impact in

    • Metaheuristic Optimization Algorithms Research
    • Evolutionary Algorithms and Applications
    • Fuzzy Logic and Control Systems
    • Neural Networks and Applications
    • Sentiment Analysis and Opinion Mining
    • Topic Modeling
    • Advanced Multi-Objective Optimization Algorithms

Papers in

    • Metaheuristic Optimization Algorithms Research 74
    • Evolutionary Algorithms and Applications 66
    • Neural Networks and Applications 34
    • Fuzzy Logic and Control Systems 27
    • Reinforcement Learning in Robotics 22
    • Anomaly Detection Techniques and Applications 18
    • Advanced Multi-Objective Optimization Algorithms 45

IEEE Computational Intelligence Magazine

431 papers receiving 29.3k citations

Peers

IEEE Computational Intelligence Magazine
Comparison fields: 5 of 224
  • Artificial Intelligence 15.3k
  • Computational Theory and Mathematics 5.8k
  • Management Science and Operations Research 2.7k
  • Computer Vision and Pattern Recognition 3.7k
  • Industrial and Manufacturing Engineering 1.7k
Replace The Knowledge Engineering Review with:
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IEEE Computational Intelligence Magazine relative to The Knowledge Engineering Review United Kingdom The Knowledge Engineering Review's profile →
Citations per field
00.5×4.5×
The Knowledge Engineering Review · 1×
Citations per year

Countries where authors publish in IEEE Computational Intelligence Magazine

Since Specialization
Citations

This map shows the geographic impact of research published in IEEE Computational Intelligence Magazine. 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 IEEE Computational Intelligence Magazine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites IEEE Computational Intelligence Magazine more than expected).

Fields of papers published in IEEE Computational Intelligence Magazine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in IEEE Computational Intelligence Magazine. 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 IEEE Computational Intelligence Magazine.

About IEEE Computational Intelligence Magazine

The 547 papers published in IEEE Computational Intelligence Magazine in the last decades have received a total of 30.7k indexed citations . Papers published in IEEE Computational Intelligence Magazine usually cover Artificial Intelligence (267 papers), Computational Theory and Mathematics (68 papers), Computer Vision and Pattern Recognition (67 papers), Management Science and Operations Research (39 papers) and Signal Processing (28 papers) specifically the topics of Metaheuristic Optimization Algorithms Research (74 papers), Evolutionary Algorithms and Applications (66 papers), Advanced Multi-Objective Optimization Algorithms (45 papers), Neural Networks and Applications (34 papers), Fuzzy Logic and Control Systems (27 papers), Reinforcement Learning in Robotics (22 papers), Anomaly Detection Techniques and Applications (18 papers) and EEG and Brain-Computer Interfaces (16 papers). The most active scholars publishing in IEEE Computational Intelligence Magazine are Thomas Stützle, Marco Dorigo, Mauro Birattari, Jerry M. Mendel, Erik Cambria, Carlos A. Coello Coello, Yaochu Jin, Soujanya Poria, Tom Young and Devamanyu Hazarika.

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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