Kaoru Hirota
Impact in
-
- Modeling, Simulation, and Optimization
- Artificial Intelligence top 0.5%
- Quantum Computing Algorithms and Architecture
- Quantum Information and Cryptography
- Fuzzy Logic and Control Systems
- Neural Networks and Applications
Papers in
-
- Fuzzy Logic and Control Systems 47
- Quantum Computing Algorithms and Architecture 28
- Quantum Information and Cryptography 24
- Neural Networks and Applications 23
-
- Rough Sets and Fuzzy Logic 13
- Quantum-Dot Cellular Automata 10
- Co-authors
- Fangyan Dong (44 shared papers)Phuc Q. Le (10 shared papers)Witold Pedrycz (30 shared papers)Abdullah M. Iliyasu (21 shared papers)Fei Yan (29 shared papers)A Bargiela (1 shared paper)Bo Sun (7 shared papers)Luefeng Chen (15 shared papers)
In The Last Decade
Kaoru Hirota
144 papers receiving 3.1k citations
Kaoru Hirota's Hit Papers
Peers
Comparison fields: 5 of 143
- Discrete Mathematics and Combinatorics 253
- Artificial Intelligence 2.5k
- Computational Theory and Mathematics 989
- Computer Vision and Pattern Recognition 682
- Computational Mathematics 17
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 162 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A flexible representation of quantum images for polynomial preparation, image compression, and processing operations Hit paper breakdown → | 2010 | 569 |
| 2 | 2004 | 283 | |
| 3 | 2011 | 192 | |
| 4 | 1993 | 180 | |
| 5 | 2013 | 158 | |
| 6 | 2017 | 154 | |
| 7 | 2010 | 113 | |
| 8 | 2011 | 95 | |
| 9 | 1993 | 82 | |
| 10 | 2011 | 67 | |
| 11 | 1994 | 63 | |
| 12 | 2011 | 60 | |
| 13 | 1989 | 54 | |
| 14 | 2015 | 52 | |
| 15 | 2020 | 45 | |
| 16 | 2018 | 45 | |
| 17 | 2021 | 39 | |
| 18 | 2012 | 37 | |
| 19 | 2017 | 37 | |
| 20 | 2021 | 36 |
About Kaoru Hirota
Kaoru Hirota is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Control and Systems Engineering and Management Science and Operations Research, having authored 162 papers that have together received 3.4k indexed citations. Recurring topics across this work include Fuzzy Logic and Control Systems (47 papers), Quantum Computing Algorithms and Architecture (28 papers), Quantum Information and Cryptography (24 papers), Neural Networks and Applications (23 papers), Multi-Criteria Decision Making (18 papers), Emotion and Mood Recognition (15 papers), Rough Sets and Fuzzy Logic (13 papers) and Quantum-Dot Cellular Automata (10 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (253 citations), Artificial Intelligence (2.5k citations), Computational Theory and Mathematics (989 citations), Computer Vision and Pattern Recognition (682 citations) and Computational Mathematics (17 citations). Kaoru Hirota has collaborated with scholars based in Japan, China and Canada. Frequent co-authors include Fangyan Dong, Phuc Q. Le, Witold Pedrycz, Abdullah M. Iliyasu, Fei Yan, A Bargiela, Bo Sun, Luefeng Chen, Min Wu and Kazuhiro Ozawa. Their work appears in journals such as Fuzzy Sets and Systems, Information Sciences, IEEE Transactions on Fuzzy Systems, Pattern Recognition Letters and Soft Computing.
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.