Shin-ya Katsumata
- Artificial Intelligence top 10%
- Computational Theory and Mathematics top 5%
- Hardware and Architecture top 10%
- Computer Networks and Communications
- Information Systems
- Co-authors
- Tarmo UustaluMarco GaboardiDominic OrchardSusumu NishimuraArthur Azevedo de AmorimAlan MycroftAtsushi OhoriJustin Hsu
- Topics
- Logic, programming, and type systems (18 papers)Logic, Reasoning, and Knowledge (14 papers)Formal Methods in Verification (12 papers)
- Journals
- SHILAP Revista de lepidopterologíaACM SIGPLAN NoticesMathematical Proceedings of the Cambridge Philosophical Society
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
Shin-ya Katsumata
26 papers receiving 188 citations
Peers
Comparison fields: 5 of 24
- Artificial Intelligence 178
- Computational Theory and Mathematics 91
- Hardware and Architecture 39
- Computer Networks and Communications 25
- Information Systems 24
Countries citing papers authored by Shin-ya Katsumata
This map shows the geographic impact of Shin-ya Katsumata'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 Shin-ya Katsumata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shin-ya Katsumata more than expected).
Fields of papers citing papers by Shin-ya Katsumata
This network shows the impact of papers produced by Shin-ya Katsumata. 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 Shin-ya Katsumata. The network helps show where Shin-ya Katsumata may publish in the future.
Co-authorship network of co-authors of Shin-ya Katsumata
This figure shows the co-authorship network connecting the top 25 collaborators of Shin-ya Katsumata. A scholar is included among the top collaborators of Shin-ya Katsumata 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 Shin-ya Katsumata. Shin-ya Katsumata is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | Expressivity of quantitative modal logics : categorical foundations via codensity and approximation | 3 |
| 8 | 7 | |
| 9 | 0 | |
| 10 | 1 | |
| 11 | 10 | |
| 12 | 10 | |
| 13 | Metric Semantics for Probabilistic Relational Reasoning. | 2 |
| 14 | 1 | |
| 15 | 2 | |
| 16 | 27 | |
| 17 | 36 | |
| 18 | 14 | |
| 19 | 1 | |
| 20 | 3 |
About Shin-ya Katsumata
Shin-ya Katsumata is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Hardware and Architecture, having authored 28 papers that have together received 192 indexed citations. Recurring topics across this work include Logic, programming, and type systems (18 papers), Logic, Reasoning, and Knowledge (14 papers) and Formal Methods in Verification (12 papers). The work is most often cited by research in Hardware and Architecture (39 citations), Computational Theory and Mathematics (91 citations) and Artificial Intelligence (178 citations). Shin-ya Katsumata has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Tarmo Uustalu, Marco Gaboardi, Dominic Orchard, Susumu Nishimura, Arthur Azevedo de Amorim, Alan Mycroft, Atsushi Ohori, Justin Hsu, Ichiro Hasuo and Masahito Hasegawa. Their work appears in journals such as SHILAP Revista de lepidopterología, ACM SIGPLAN Notices and Mathematical Proceedings of the Cambridge Philosophical Society.
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.