Fuzzy Sets and Systems

9.1k papers and 305.3k indexed citations

About

The 9.1k papers published in Fuzzy Sets and Systems in the last decades have received a total of 305.3k indexed citations. Papers published in Fuzzy Sets and Systems usually cover Management Science and Operations Research (5.1k papers), Artificial Intelligence (3.9k papers) and Computational Theory and Mathematics (3.9k papers) specifically the topics of Multi-Criteria Decision Making (3.6k papers), Fuzzy Logic and Control Systems (2.8k papers) and Fuzzy Systems and Optimization (2.5k papers). The most active scholars publishing in Fuzzy Sets and Systems are Krassimir Atanassov, Lotfi A. Zadeh, James J. Buckley, Ronald R. Yager, Witold Pedrycz, Chen‐Tung Arthur Chen, H.‐J. Zimmermann, Didier Dubois, Shyi‐Ming Chen and Michio Sugeno.

In The Last Decade

Fuzzy Sets and Systems

8.5k papers receiving 285.6k citations

Fields of papers published in Fuzzy Sets and Systems

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Fuzzy Sets and 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 Fuzzy Sets and Systems.

Countries where authors publish in Fuzzy Sets and Systems

Since Specialization
Citations

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