Fuzzy Optimization and Decision Making

536 papers and 14.7k indexed citations i.

About

The 536 papers published in Fuzzy Optimization and Decision Making in the last decades have received a total of 14.7k indexed citations. Papers published in Fuzzy Optimization and Decision Making usually cover Management Science and Operations Research (365 papers), Statistics and Probability (288 papers) and Control and Systems Engineering (170 papers) specifically the topics of Multi-Criteria Decision Making (324 papers), Fuzzy Systems and Optimization (288 papers) and Optimization and Mathematical Programming (140 papers). The most active scholars publishing in Fuzzy Optimization and Decision Making are Zeshui Xu, Ronald R. Yager, Baoding Liu, Hsien-Chung Wu, Deng‐Feng Li, Huchang Liao, Yuhan Liu, Xiaoxia Huang, Kai Yao and X. Chen.

In The Last Decade

Fields of papers published in Fuzzy Optimization and Decision Making

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Fuzzy Optimization and Decision Making. 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 Optimization and Decision Making.

Countries where authors publish in Fuzzy Optimization and Decision Making

Since Specialization
Citations

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