Kohei Honda
- Artificial Intelligence top 1%
- Computational Theory and Mathematics top 0.5%
- Computer Networks and Communications top 2%
- Information Systems top 5%
- Hardware and Architecture top 5%
- Co-authors
- Nobuko YoshidaMarco CarboneMartin BergerSamson AbramskyGuy McCuskerMario TokoroRaymond HuOlivier Laurent
- Topics
- Logic, programming, and type systems (36 papers)Formal Methods in Verification (24 papers)Logic, Reasoning, and Knowledge (18 papers)
- Cited by
- Computational Theory and MathematicsArtificial IntelligenceComputer Networks and Communications
- Journals
- SHILAP Revista de lepidopterologíaACM Computing SurveysJournal of the ACM
- Partner nations
- United KingdomDenmarkJapan
In The Last Decade
Kohei Honda
45 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 37
- Artificial Intelligence 1.2k
- Computational Theory and Mathematics 724
- Computer Networks and Communications 534
- Information Systems 200
- Hardware and Architecture 138
Countries citing papers authored by Kohei Honda
This map shows the geographic impact of Kohei Honda'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 Kohei Honda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kohei Honda more than expected).
Fields of papers citing papers by Kohei Honda
This network shows the impact of papers produced by Kohei Honda. 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 Kohei Honda. The network helps show where Kohei Honda may publish in the future.
Co-authorship network of co-authors of Kohei Honda
This figure shows the co-authorship network connecting the top 25 collaborators of Kohei Honda. A scholar is included among the top collaborators of Kohei Honda 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 Kohei Honda. Kohei Honda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 112 | |
| 2 | 24 | |
| 3 | 11 | |
| 4 | 45 | |
| 5 | 13 | |
| 6 | Performance evaluations of PC clusters for large scale numerical analyses | 3 |
| 7 | Session-based Type Discipline for Pi Calculus with Matching | 5 |
| 8 | 2 | |
| 9 | 9 | |
| 10 | Web Services, Mobile Processes and Types. | 7 |
| 11 | 3 | |
| 12 | 26 | |
| 13 | 23 | |
| 14 | 5 | |
| 15 | 1 | |
| 16 | 51 | |
| 17 | 43 | |
| 18 | 156 | |
| 19 | Types for Dynamic Interaction | 52 |
| 20 | On Reduction-Based Semantics | 1 |
About Kohei Honda
Kohei Honda is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Computer Networks and Communications, having authored 47 papers that have together received 1.3k indexed citations. Recurring topics across this work include Logic, programming, and type systems (36 papers), Formal Methods in Verification (24 papers) and Logic, Reasoning, and Knowledge (18 papers). The work is most often cited by research in Computational Theory and Mathematics (724 citations), Artificial Intelligence (1.2k citations) and Computer Networks and Communications (534 citations). Kohei Honda has collaborated with scholars based in United Kingdom, Denmark and Japan. Frequent co-authors include Nobuko Yoshida, Marco Carbone, Martin Berger, Samson Abramsky, Guy McCusker, Mario Tokoro, Raymond Hu, Olivier Laurent, Romain Demangeon and Rumyana Neykova. Their work appears in journals such as SHILAP Revista de lepidopterología, ACM Computing Surveys and Journal of the ACM.
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.