Applied Computational Intelligence and Soft Computing

4.7k citations
392 papers · · active since 1950

Impact in

Papers in

    • Metaheuristic Optimization Algorithms Research 31
    • Evolutionary Algorithms and Applications 19
    • Neural Networks and Applications 18
    • Imbalanced Data Classification Techniques 14
    • Face and Expression Recognition 14
    • Advanced Neural Network Applications 14

Applied Computational Intelligence and Soft Computing

345 papers receiving 4.4k citations

Peers

Applied Computational Intelligence and Soft Computing
Comparison fields: 5 of 182
  • Artificial Intelligence 1.5k
  • Computer Vision and Pattern Recognition 665
  • Health Information Management 132
  • Management Science and Operations Research 332
  • Signal Processing 277
Replace Intelligent Systems with Applications with:
Intelligent Systems with Applications China
Big Data Mining and Analytics China
Array China
Progress in Artificial Intelligence Spain
Applied Computing and Informatics India
Malaysian Journal of Computer Science Malaysia
International Journal of Intelligent Computing and Cybernetics China
Annals of Data Science India
Studies in Informatics and Control Romania
CAAI Transactions on Intelligence Technology China
Applied Computational Intelligence and Soft Computing relative to Intelligent Systems with Applications China Intelligent Systems with Applications's profile →
Citations per field
00.5×10×20×30×40×48.8×
Intelligent Systems with Applications · 1×
Citations per year

Countries where authors publish in Applied Computational Intelligence and Soft Computing

Since Specialization
Citations

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

Fields of papers published in Applied Computational Intelligence and Soft Computing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Applied Computational Intelligence and Soft Computing. 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 Applied Computational Intelligence and Soft Computing.

About Applied Computational Intelligence and Soft Computing

The 392 papers published in Applied Computational Intelligence and Soft Computing in the last decades have received a total of 4.7k indexed citations . Papers published in Applied Computational Intelligence and Soft Computing usually cover Artificial Intelligence (148 papers), Computer Vision and Pattern Recognition (85 papers), Signal Processing (39 papers), Management Science and Operations Research (34 papers) and Health Information Management (10 papers) specifically the topics of Metaheuristic Optimization Algorithms Research (31 papers), Evolutionary Algorithms and Applications (19 papers), Advanced Multi-Objective Optimization Algorithms (18 papers), Neural Networks and Applications (18 papers), Multi-Criteria Decision Making (15 papers), Imbalanced Data Classification Techniques (14 papers), Face and Expression Recognition (14 papers) and Advanced Neural Network Applications (14 papers). The most active scholars publishing in Applied Computational Intelligence and Soft Computing are Oliver Krämer, Nitin Mittal, B.S. Sohi, Urvinder Singh, Anteneh Belayneh, Jan Adamowski, Jason Teo, Janusz Bobulski, Mariusz Kubanek and Mukesh A. Zaveri.

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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