Complex & Intelligent Systems

1.6k papers and 18.8k indexed citations i.

About

The 1.6k papers published in Complex & Intelligent Systems in the last decades have received a total of 18.8k indexed citations. Papers published in Complex & Intelligent Systems usually cover Artificial Intelligence (680 papers), Computer Vision and Pattern Recognition (417 papers) and Management Science and Operations Research (295 papers) specifically the topics of Multi-Criteria Decision Making (222 papers), Metaheuristic Optimization Algorithms Research (153 papers) and Advanced Multi-Objective Optimization Algorithms (133 papers). The most active scholars publishing in Complex & Intelligent Systems are Yaochu Jin, Harish Garg, Muhammad Aslam, Tahir Mahmood, Tareq M. Al-shami, Zeeshan Ali, Suresh Chandra Satapathy, Muhammet Gül, Ye Tian and Anima Naik.

In The Last Decade

Fields of papers published in Complex & Intelligent Systems

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries where authors publish in Complex & Intelligent Systems

Since Specialization
Citations

This map shows the geographic impact of research published in Complex & 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 Complex & 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 Complex & 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