Fuzzy Information and Engineering

386 papers and 2.9k indexed citations i.

About

The 386 papers published in Fuzzy Information and Engineering in the last decades have received a total of 2.9k indexed citations. Papers published in Fuzzy Information and Engineering usually cover Management Science and Operations Research (253 papers), Computational Theory and Mathematics (126 papers) and Artificial Intelligence (120 papers) specifically the topics of Multi-Criteria Decision Making (181 papers), Fuzzy and Soft Set Theory (98 papers) and Fuzzy Systems and Optimization (96 papers). The most active scholars publishing in Fuzzy Information and Engineering are Madhumangal Pal, Sovan Samanta, S. H. Nasseri, Palash Dutta, Rupak Bhattacharyya, Muhammad Akram, T. V. Ramakrishnan, Amit Kumar, Shivi Agarwal and Ali Ebrahimnejad.

In The Last Decade

Fields of papers published in Fuzzy Information and Engineering

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Fuzzy Information and Engineering. 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 Information and Engineering.

Countries where authors publish in Fuzzy Information and Engineering

Since Specialization
Citations

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