Journal of Intelligent Systems

965 papers and 7.3k indexed citations i.

About

The 965 papers published in Journal of Intelligent Systems in the last decades have received a total of 7.3k indexed citations. Papers published in Journal of Intelligent Systems usually cover Artificial Intelligence (447 papers), Computer Vision and Pattern Recognition (223 papers) and Information Systems (148 papers) specifically the topics of Neural Networks and Applications (69 papers), Metaheuristic Optimization Algorithms Research (54 papers) and Multi-Criteria Decision Making (52 papers). The most active scholars publishing in Journal of Intelligent Systems are Vicenç Torra, Jun Ye, Zeshui Xu, Rajesh Kumar Aggarwal, Mingwen Shao, Wen‐Xiu Zhang, Saleem Abdullah, Sheng-Uei Guan, Romi Satria Wahono and De-Shuang Huang.

In The Last Decade

Fields of papers published in Journal of Intelligent Systems

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Journal of Intelligent Systems. 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 Intelligent Systems.

Countries where authors publish in Journal of Intelligent Systems

Since Specialization
Citations

This map shows the geographic impact of research published in Journal of Intelligent Systems. 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 Intelligent Systems 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 Intelligent Systems more than expected).

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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2025