Avi Rosenfeld
- Artificial Intelligence top 5%
- Management Science and Operations Research top 5%
- Automotive Engineering top 10%
- Sociology and Political Science
- Computer Science Applications top 5%
- Co-authors
- Sarit KrausSamuel BarrettPeter StoneInon ZuckermanClaudia V. GoldmanDavid J. LeBlancZ BareketAmos Azaria
- Topics
- Multi-Agent Systems and Negotiation (9 papers)Reinforcement Learning in Robotics (7 papers)Artificial Intelligence in Games (7 papers)
- Cited by
- Computer Science ApplicationsArtificial IntelligenceManagement Science and Operations Research
- Partner nations
- IsraelUnited StatesUnited Kingdom
In The Last Decade
Avi Rosenfeld
59 papers receiving 605 citations
Peers
Comparison fields: 5 of 95
- Artificial Intelligence 306
- Management Science and Operations Research 113
- Automotive Engineering 82
- Sociology and Political Science 78
- Computer Science Applications 75
Countries citing papers authored by Avi Rosenfeld
This map shows the geographic impact of Avi Rosenfeld'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 Avi Rosenfeld with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Avi Rosenfeld more than expected).
Fields of papers citing papers by Avi Rosenfeld
This network shows the impact of papers produced by Avi Rosenfeld. 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 Avi Rosenfeld. The network helps show where Avi Rosenfeld may publish in the future.
Co-authorship network of co-authors of Avi Rosenfeld
This figure shows the co-authorship network connecting the top 25 collaborators of Avi Rosenfeld. A scholar is included among the top collaborators of Avi Rosenfeld 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 Avi Rosenfeld. Avi Rosenfeld is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 4 | |
| 3 | 29 | |
| 4 | 4 | |
| 5 | 4 | |
| 6 | 38 | |
| 7 | 3 | |
| 8 | 24 | |
| 9 | 6 | |
| 10 | 1 | |
| 11 | 31 | |
| 12 | 11 | |
| 13 | Learning Teammate Models for Ad Hoc Teamwork | 11 |
| 14 | 10 | |
| 15 | Modeling agents through bounded rationality theories | 13 |
| 16 | 3 | |
| 17 | 25 | |
| 18 | Adaptive Robotic Communication using Coordination Costs for Improved Trajectory Planning. | 1 |
| 19 | 1 | |
| 20 | Adaptive robot coordination using interference metrics | 8 |
About Avi Rosenfeld
Avi Rosenfeld is a scholar working on Artificial Intelligence, Management Science and Operations Research and Automotive Engineering, having authored 60 papers that have together received 639 indexed citations. Recurring topics across this work include Multi-Agent Systems and Negotiation (9 papers), Reinforcement Learning in Robotics (7 papers) and Artificial Intelligence in Games (7 papers). The work is most often cited by research in Computer Science Applications (75 citations), Artificial Intelligence (306 citations) and Management Science and Operations Research (113 citations). Avi Rosenfeld has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Sarit Kraus, Samuel Barrett, Peter Stone, Inon Zuckerman, Claudia V. Goldman, David J. LeBlanc, Z Bareket, Amos Azaria, Nicholas R. Jennings and Sarvapali D. Ramchurn. Their work appears in journals such as Gut, Artificial Intelligence and The Gerontologist.
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.