Journal of Artificial Intelligence and Soft Computing Research

2.7k citations
242 papers · · active since 1950

Impact in

    • Neural Networks and Applications
    • Metaheuristic Optimization Algorithms Research
    • Anomaly Detection Techniques and Applications
    • Evolutionary Algorithms and Applications

Papers in

    • Neural Networks and Applications 27
    • Metaheuristic Optimization Algorithms Research 24
    • Evolutionary Algorithms and Applications 19
    • Fuzzy Logic and Control Systems 18
    • Anomaly Detection Techniques and Applications 14

Journal of Artificial Intelligence and Soft Computing Research

224 papers receiving 2.6k citations

Peers

Journal of Artificial Intelligence and Soft Computing Research
Comparison fields: 5 of 167
  • Artificial Intelligence 1.1k
  • Signal Processing 256
  • Health Informatics 32
  • Computer Vision and Pattern Recognition 478
  • Computer Science Applications 118
Replace Applied Computational Intelligence and Soft Computing with:
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Malaysian Journal of Computer Science Malaysia
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Journal of Artificial Intelligence and Soft Computing Research relative to Applied Computational Intelligence and Soft Computing India Applied Computational Intelligence and Soft Computing's profile →
Citations per field
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Applied Computational Intelligence and Soft Computing · 1×
Citations per year

Countries where authors publish in Journal of Artificial Intelligence and Soft Computing Research

Since Specialization
Citations

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

Fields of papers published in Journal of Artificial Intelligence and Soft Computing Research

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Journal of Artificial Intelligence and Soft Computing Research. 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 Journal of Artificial Intelligence and Soft Computing Research.

About Journal of Artificial Intelligence and Soft Computing Research

The 242 papers published in Journal of Artificial Intelligence and Soft Computing Research in the last decades have received a total of 2.7k indexed citations . Papers published in Journal of Artificial Intelligence and Soft Computing Research usually cover Artificial Intelligence (136 papers), Signal Processing (32 papers), Computer Vision and Pattern Recognition (50 papers), Computational Theory and Mathematics (33 papers) and Management Science and Operations Research (24 papers) specifically the topics of Neural Networks and Applications (27 papers), Metaheuristic Optimization Algorithms Research (24 papers), Evolutionary Algorithms and Applications (19 papers), Fuzzy Logic and Control Systems (18 papers), Anomaly Detection Techniques and Applications (14 papers), Advanced Multi-Objective Optimization Algorithms (13 papers), Data Mining Algorithms and Applications (12 papers) and Multi-Criteria Decision Making (11 papers). The most active scholars publishing in Journal of Artificial Intelligence and Soft Computing Research are Simone A. Ludwig, Hani Hagras, Daniyal Alghazzawi, Ghadah Aldabbagh, Mehdi Hosseinzadeh Aghdam, Setareh Heidari, Eren Baş, Yoichi Hayashi, Guido Bologna and Amir Ali Forough Nassiraei.

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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