James R. Riehl
- Sociology and Political Science top 10%
- Computer Networks and Communications top 10%
- Management Science and Operations Research top 5%
- Statistical and Nonlinear Physics top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Ming CaoPouria RamaziJoão P. HespanhaShiNung ChingEduardo D. SontagBen Julian A. PalancaBhaskar DasGuptaSanjay S. Joshi
- Topics
- Game Theory and Applications (9 papers)Evolutionary Game Theory and Cooperation (9 papers)Opinion Dynamics and Social Influence (6 papers)
- Cited by
- Management Science and Operations ResearchStatistical and Nonlinear PhysicsComputer Networks and Communications
- Journals
- Proceedings of the National Academy of SciencesIEEE Transactions on Automatic ControlAutomatica
- Partner nations
- United StatesNetherlandsCanada
In The Last Decade
James R. Riehl
25 papers receiving 367 citations
Peers
Comparison fields: 5 of 62
- Sociology and Political Science 150
- Computer Networks and Communications 110
- Management Science and Operations Research 93
- Statistical and Nonlinear Physics 89
- Computer Vision and Pattern Recognition 74
Countries citing papers authored by James R. Riehl
This map shows the geographic impact of James R. Riehl'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 James R. Riehl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James R. Riehl more than expected).
Fields of papers citing papers by James R. Riehl
This network shows the impact of papers produced by James R. Riehl. 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 James R. Riehl. The network helps show where James R. Riehl may publish in the future.
Co-authorship network of co-authors of James R. Riehl
This figure shows the co-authorship network connecting the top 25 collaborators of James R. Riehl. A scholar is included among the top collaborators of James R. Riehl 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 James R. Riehl. James R. Riehl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 7 | |
| 3 | 0 | |
| 4 | 24 | |
| 5 | 9 | |
| 6 | 46 | |
| 7 | 6 | |
| 8 | 17 | |
| 9 | 40 | |
| 10 | 69 | |
| 11 | 2 | |
| 12 | 6 | |
| 13 | 8 | |
| 14 | 1 | |
| 15 | 5 | |
| 16 | 1 | |
| 17 | 10 | |
| 18 | 20 | |
| 19 | 25 | |
| 20 | 2 |
About James R. Riehl
James R. Riehl is a scholar working on Management Science and Operations Research, Statistical and Nonlinear Physics and Safety Research, having authored 26 papers that have together received 379 indexed citations. Recurring topics across this work include Game Theory and Applications (9 papers), Evolutionary Game Theory and Cooperation (9 papers) and Opinion Dynamics and Social Influence (6 papers). The work is most often cited by research in Management Science and Operations Research (93 citations), Statistical and Nonlinear Physics (89 citations) and Computer Networks and Communications (110 citations). James R. Riehl has collaborated with scholars based in United States, Netherlands and Canada. Frequent co-authors include Ming Cao, Pouria Ramazi, João P. Hespanha, ShiNung Ching, Eduardo D. Sontag, Ben Julian A. Palanca, Bhaskar DasGupta, Sanjay S. Joshi, Julien M. Hendrickx and Gregory R. Bowman. Their work appears in journals such as Proceedings of the National Academy of Sciences, IEEE Transactions on Automatic Control and Automatica.
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.