Takehiro Inohara
- Management Science and Operations Research top 1%
- Economics and Econometrics top 5%
- Statistical and Nonlinear Physics top 5%
- Artificial Intelligence top 10%
- Sociology and Political Science
- Co-authors
- Keith W. HipelSean WalkerShingo TakahashiAkira YamazakiKentaro KojimaKevin LiHaiyan XuShigehiro Yasui
- Topics
- Game Theory and Applications (40 papers)Game Theory and Voting Systems (31 papers)Opinion Dynamics and Social Influence (21 papers)
- Cited by
- Management Science and Operations ResearchStatistical and Nonlinear PhysicsEconomics and Econometrics
In The Last Decade
Takehiro Inohara
62 papers receiving 615 citations
Peers
Comparison fields: 5 of 76
- Management Science and Operations Research 404
- Economics and Econometrics 218
- Statistical and Nonlinear Physics 181
- Artificial Intelligence 141
- Sociology and Political Science 87
Countries citing papers authored by Takehiro Inohara
This map shows the geographic impact of Takehiro Inohara'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 Takehiro Inohara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takehiro Inohara more than expected).
Fields of papers citing papers by Takehiro Inohara
This network shows the impact of papers produced by Takehiro Inohara. 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 Takehiro Inohara. The network helps show where Takehiro Inohara may publish in the future.
Co-authorship network of co-authors of Takehiro Inohara
This figure shows the co-authorship network connecting the top 25 collaborators of Takehiro Inohara. A scholar is included among the top collaborators of Takehiro Inohara 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 Takehiro Inohara. Takehiro Inohara 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 | 4 | |
| 3 | 9 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 28 | |
| 8 | 0 | |
| 9 | 5 | |
| 10 | 3 | |
| 11 | 76 | |
| 12 | 8 | |
| 13 | 55 | |
| 14 | 73 | |
| 15 | 5 | |
| 16 | 12 | |
| 17 | 1 | |
| 18 | 9 | |
| 19 | 6 | |
| 20 | 6 |
About Takehiro Inohara
Takehiro Inohara is a scholar working on Management Science and Operations Research, Statistical and Nonlinear Physics and Economics and Econometrics, having authored 68 papers that have together received 633 indexed citations. Recurring topics across this work include Game Theory and Applications (40 papers), Game Theory and Voting Systems (31 papers) and Opinion Dynamics and Social Influence (21 papers). The work is most often cited by research in Management Science and Operations Research (404 citations), Statistical and Nonlinear Physics (181 citations) and Economics and Econometrics (218 citations). Takehiro Inohara has collaborated with scholars based in Japan, Canada and China. Frequent co-authors include Keith W. Hipel, Sean Walker, Shingo Takahashi, Akira Yamazaki, Kentaro Kojima, Kevin Li, Haiyan Xu, Shigehiro Yasui and Kyoichi Kijima. Their work appears in journals such as European Journal of Operational Research, Journal of the Operational Research Society and Physica A Statistical Mechanics and its Applications.
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.