S. Hirano
- Computer Vision and Pattern Recognition top 10%
- Computational Theory and Mathematics top 10%
- Artificial Intelligence
- Signal Processing top 10%
- Information Systems
- Co-authors
- Shusaku TsumotoYutaka HataSyoji KobashiHajime KitagakiEtsuro MoriMatsuo OritoShuji TokunagaMasayoshi Shimamura
- Topics
- Rough Sets and Fuzzy Logic (14 papers)Data Mining Algorithms and Applications (8 papers)Data Management and Algorithms (7 papers)
- Cited by
- Signal ProcessingComputational Theory and MathematicsComputer Vision and Pattern Recognition
- Partner nations
- JapanUnited States
In The Last Decade
S. Hirano
33 papers receiving 253 citations
Peers
Comparison fields: 5 of 71
- Computer Vision and Pattern Recognition 72
- Computational Theory and Mathematics 65
- Artificial Intelligence 55
- Signal Processing 44
- Information Systems 38
Countries citing papers authored by S. Hirano
This map shows the geographic impact of S. Hirano'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 S. Hirano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Hirano more than expected).
Fields of papers citing papers by S. Hirano
This network shows the impact of papers produced by S. Hirano. 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 S. Hirano. The network helps show where S. Hirano may publish in the future.
Co-authorship network of co-authors of S. Hirano
This figure shows the co-authorship network connecting the top 25 collaborators of S. Hirano. A scholar is included among the top collaborators of S. Hirano based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with S. Hirano. S. Hirano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 5 | |
| 5 | 2 | |
| 6 | 7 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | An Indiscernibility-based Clustering Method with Iterative Refinement of Equivalence Relations | 4 |
| 10 | 7 | |
| 11 | 3 | |
| 12 | 6 | |
| 13 | 2 | |
| 14 | 4 | |
| 15 | 6 | |
| 16 | 4 | |
| 17 | 2 | |
| 18 | 69 | |
| 19 | 40 | |
| 20 | [Giant hydrocele: two case reports]. | 2 |
About S. Hirano
S. Hirano is a scholar working on Computational Theory and Mathematics, Signal Processing and Computer Vision and Pattern Recognition, having authored 35 papers that have together received 264 indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (14 papers), Data Mining Algorithms and Applications (8 papers) and Data Management and Algorithms (7 papers). The work is most often cited by research in Signal Processing (44 citations), Computational Theory and Mathematics (65 citations) and Computer Vision and Pattern Recognition (72 citations). S. Hirano has collaborated with scholars based in Japan and United States. Frequent co-authors include Shusaku Tsumoto, Yutaka Hata, Syoji Kobashi, Hajime Kitagaki, Etsuro Mori, Matsuo Orito, Shuji Tokunaga, Masayoshi Shimamura, Shinji Kosaka and Y. Hata. Their work appears in journals such as Pediatric Research, Image and Vision Computing and American Journal of Nephrology.
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.