Granular Computing

495 papers and 9.3k indexed citations i.

About

The 495 papers published in Granular Computing in the last decades have received a total of 9.3k indexed citations. Papers published in Granular Computing usually cover Management Science and Operations Research (335 papers), Artificial Intelligence (190 papers) and Computational Theory and Mathematics (183 papers) specifically the topics of Multi-Criteria Decision Making (301 papers), Rough Sets and Fuzzy Logic (167 papers) and Fuzzy Systems and Optimization (139 papers). The most active scholars publishing in Granular Computing are Muhammad Akram, Paul Augustine Ejegwa, Yiyu Yao, Han Liu, Harish Garg, Mihaela Cocea, Zeshui Xu, Sanjay Kumar, Saleem Abdullah and Mijanur Rahaman Seikh.

In The Last Decade

Fields of papers published in Granular Computing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Granular 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 Granular Computing.

Countries where authors publish in Granular Computing

Since Specialization
Citations

This map shows the geographic impact of research published in Granular 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 Granular Computing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Granular Computing 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