Tomohiro Hoshi

15 papers receiving 216 citations

Peers

Tomohiro Hoshi
Comparison fields: 5 of 28
  • Artificial Intelligence 216
  • Computational Theory and Mathematics 90
  • Philosophy 20
  • Experimental and Cognitive Psychology 11
  • Management Science and Operations Research 9
Replace Fernando R. Velázquez–Quesada with:
Fernando R. Velázquez–Quesada Netherlands
Yanjing Wang China
Thomas Studer Switzerland
Aybüke Özgün Netherlands
Karl Schlechta France
Gemma Robles Spain
Jan A. Plaza United States
Hans P. van Ditmarsch New Zealand
Sergei P. Odintsov Russia
Richard L. Epstein United States
Tomohiro Hoshi relative to Fernando R. Velázquez–Quesada Netherlands Fernando R. Velázquez–Quesada's profile →
Citations per field
00.5×1.5×1.8×
Fernando R. Velázquez–Quesada · 1×
Citations per year

Countries citing papers authored by Tomohiro Hoshi

Since Specialization
Citations

This map shows the geographic impact of Tomohiro Hoshi'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 Tomohiro Hoshi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomohiro Hoshi more than expected).

Fields of papers citing papers by Tomohiro Hoshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tomohiro Hoshi. 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 Tomohiro Hoshi. The network helps show where Tomohiro Hoshi may publish in the future.

Co-authorship network of co-authors of Tomohiro Hoshi

This figure shows the co-authorship network connecting the top 25 collaborators of Tomohiro Hoshi. A scholar is included among the top collaborators of Tomohiro Hoshi 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 Tomohiro Hoshi. Tomohiro Hoshi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 1
2 2
3 10
4
A Uniform Logic of Information Dynamics
7
5 4
6
Logic and the Interactive Rationality
1
7 4
8 3
9
A Dynamic Logic of Observation and Access First Draft
1
10 2
11 14
12 90
13
Epistemic dynamics and protocol information
24
14 61
15
What can we achieve by arbitrary announcements?: A dynamic take on Fitch's knowability
5

About Tomohiro Hoshi

Tomohiro Hoshi is a scholar working on Artificial Intelligence, Behavioral Neuroscience and Computational Theory and Mathematics, having authored 15 papers that have together received 229 indexed citations. Recurring topics across this work include Logic, Reasoning, and Knowledge (10 papers), Semantic Web and Ontologies (8 papers) and Multi-Agent Systems and Negotiation (5 papers). The work is most often cited by research in Artificial Intelligence (216 citations), Computational Theory and Mathematics (90 citations) and Philosophy (20 citations). Tomohiro Hoshi has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Johan van Benthem, Eric Pacuit, Jelle Gerbrandy, Hans van Ditmarsch, Philippe Balbiani, Andreas Herzig, Alexandru Baltag, Tiago de Lima, Thomas Icard and Wesley H. Holliday. Their work appears in journals such as Biochemical Pharmacology, Synthese and Journal of Pharmacological Sciences.

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.

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