Maayan Roth
Impact in
- Artificial Intelligence top 5%
- Reinforcement Learning in Robotics
- Multi-Agent Systems and Negotiation
- Logic, Reasoning, and Knowledge
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
Papers in
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- Reinforcement Learning in Robotics 6
- Multi-Agent Systems and Negotiation 4
- AI-based Problem Solving and Planning 2
- Logic, Reasoning, and Knowledge 1
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- Auction Theory and Applications 1
- Co-authors
- Manuela Veloso (7 shared papers)Reid G. Simmons (5 shared papers)Yossi Matias (1 shared paper)Douglas L. Vail (2 shared papers)Makoto Yokoo (1 shared paper)Milind Tambe (1 shared paper)Ranjit Nair (1 shared paper)Alexander Liede (1 shared paper)
- Journals
- Clinical Epidemiology (1 paper)International Journal of Humanoid Robotics (1 paper)Adaptive Agents and Multi-Agents Systems (1 paper)
- Partner nations
- United StatesJapan
In The Last Decade
Maayan Roth
10 papers receiving 463 citations
Peers
Comparison fields: 5 of 53
- Artificial Intelligence 301
- Statistical and Nonlinear Physics 104
- Management Science and Operations Research 95
- Computer Networks and Communications 140
- Transportation 23
Countries citing papers authored by Maayan Roth
This map shows the geographic impact of Maayan Roth'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 Maayan Roth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maayan Roth more than expected).
Fields of papers citing papers by Maayan Roth
This network shows the impact of papers produced by Maayan Roth. 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 Maayan Roth. The network helps show where Maayan Roth may publish in the future.
Co-authors
The 14 scholars most cited alongside Maayan Roth, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 162 | |
| 2 | 2005 | 69 | |
| 3 | 2007 | 54 | |
| 4 | 2004 | 52 | |
| 5 | 2004 | 44 | |
| 6 | 2007 | 37 | |
| 7 | 2015 | 32 | |
| 8 | 2005 | 27 | |
| 9 | 2008 | 10 | |
| 10 | Execution-time communication decisions for coordination of multi-agent teams | 2007 | 9 |
About Maayan Roth
Maayan Roth is a scholar working on Artificial Intelligence, Management Science and Operations Research, Computer Networks and Communications, Communication and Industrial and Manufacturing Engineering, having authored 10 papers that have together received 496 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (6 papers), Multi-Agent Systems and Negotiation (4 papers), AI-based Problem Solving and Planning (2 papers), Optimization and Search Problems (1 paper), Robotics and Automated Systems (1 paper), Logic, Reasoning, and Knowledge (1 paper), Auction Theory and Applications (1 paper) and Distributed Control Multi-Agent Systems (1 paper). The work is most often cited by research in Artificial Intelligence (301 citations), Statistical and Nonlinear Physics (104 citations), Management Science and Operations Research (95 citations), Computer Networks and Communications (140 citations) and Transportation (23 citations). Maayan Roth has collaborated with scholars based in United States and Japan. Frequent co-authors include Manuela Veloso, Reid G. Simmons, Yossi Matias, Douglas L. Vail, Makoto Yokoo, Milind Tambe, Ranjit Nair, Alexander Liede, Rohini Khorana Hernandez and Leonardo Nicacio. Their work appears in journals such as Clinical Epidemiology, International Journal of Humanoid Robotics and Adaptive Agents and Multi-Agents Systems.
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.