Kaoru Hirota
Impact in
- Artificial Intelligence top 0.5%
- Fuzzy Logic and Control Systems
- Advanced Clustering Algorithms Research
- Computational Theory and Mathematics top 0.5%
- Advanced Algebra and Logic
- Rough Sets and Fuzzy Logic
Papers in
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- Fuzzy Logic and Control Systems 95
- Advanced Clustering Algorithms Research 16
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- Advanced Data Compression Techniques 17
- Image Retrieval and Classification Techniques 14
- Co-authors
- Witold Pedrycz (58 shared papers)László Tamás Kóczy (6 shared papers)Naoyoshi Yubazaki (21 shared papers)Jianqiang Yi (21 shared papers)Min Wu (27 shared papers)Luefeng Chen (27 shared papers)Hajime Nobuhara (31 shared papers)Fangyan Dong (41 shared papers)
In The Last Decade
Kaoru Hirota
244 papers receiving 4k citations
Peers
Comparison fields: 5 of 124
- Artificial Intelligence 1.8k
- Computational Theory and Mathematics 598
- Computer Vision and Pattern Recognition 711
- Experimental and Cognitive Psychology 472
- Control and Systems Engineering 453
Countries citing papers authored by Kaoru Hirota
This map shows the geographic impact of Kaoru Hirota's research. 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 Kaoru Hirota with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaoru Hirota more than expected).
Fields of papers citing papers by Kaoru Hirota
This network shows the impact of papers produced by Kaoru Hirota. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kaoru Hirota. The network helps show where Kaoru Hirota may publish in the future.
Co-authors
The 25 scholars most cited alongside Kaoru Hirota, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 291 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1993 | 357 | |
| 2 | 1997 | 198 | |
| 3 | 1981 | 187 | |
| 4 | 2019 | 186 | |
| 5 | 1993 | 157 | |
| 6 | 2019 | 154 | |
| 7 | 2009 | 152 | |
| 8 | 2018 | 120 | |
| 9 | 1999 | 115 | |
| 10 | 2000 | 87 | |
| 11 | Industrial Applications of Fuzzy Technology | 1993 | 86 |
| 12 | 2003 | 84 | |
| 13 | 2022 | 77 | |
| 14 | 2001 | 76 | |
| 15 | 2012 | 76 | |
| 16 | 2023 | 74 | |
| 17 | 2002 | 73 | |
| 18 | 1999 | 68 | |
| 19 | 2019 | 67 | |
| 20 | 2002 | 64 |
About Kaoru Hirota
Kaoru Hirota is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Experimental and Cognitive Psychology and Management Science and Operations Research, having authored 291 papers that have together received 4.4k indexed citations. Recurring topics across this work include Fuzzy Logic and Control Systems (95 papers), Advanced Algebra and Logic (37 papers), Emotion and Mood Recognition (28 papers), Advanced Data Compression Techniques (17 papers), Advanced Clustering Algorithms Research (16 papers), Image Retrieval and Classification Techniques (14 papers), Fuzzy and Soft Set Theory (13 papers) and Fuzzy Systems and Optimization (11 papers). The work is most often cited by research in Artificial Intelligence (1.8k citations), Computational Theory and Mathematics (598 citations), Computer Vision and Pattern Recognition (711 citations), Experimental and Cognitive Psychology (472 citations) and Control and Systems Engineering (453 citations). Kaoru Hirota has collaborated with scholars based in Japan, China and Canada. Frequent co-authors include Witold Pedrycz, László Tamás Kóczy, Naoyoshi Yubazaki, Jianqiang Yi, Min Wu, Luefeng Chen, Hajime Nobuhara, Fangyan Dong, Joviša D. Žunić and Wanjuan Su. Their work appears in journals such as Fuzzy Sets and Systems, Information Sciences, Soft Computing, Applied Soft Computing and IEEE Transactions on Systems Man and Cybernetics Systems.
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.