Debarun Kar
Impact in
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- Game Theory and Applications
Papers in
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- Crime Patterns and Interventions 4
- Terrorism, Counterterrorism, and Political Violence 3
- Evolutionary Game Theory and Cooperation 2
- Crime, Illicit Activities, and Governance 2
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- Infrastructure Resilience and Vulnerability Analysis 2
- Co-authors
- Milind Tambe (13 shared papers)Fei Fang (8 shared papers)Nicole D. Sintov (6 shared papers)Thanh H. Nguyen (3 shared papers)Arnaud Lyet (3 shared papers)Arunesh Sinha (2 shared papers)Jongmoo Choi (1 shared paper)Elizabeth Bondi (1 shared paper)
- Journals
- Artificial Intelligence (1 paper)AI Magazine (1 paper)Cognitive Science (1 paper)Games (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (3 papers)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Debarun Kar
11 papers receiving 199 citations
Peers
Comparison fields: 5 of 61
- Management Science and Operations Research 31
- Computer Science Applications 13
- Ecological Modeling 9
- Civil and Structural Engineering 42
- Computer Networks and Communications 37
Countries citing papers authored by Debarun Kar
This map shows the geographic impact of Debarun Kar'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 Debarun Kar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Debarun Kar more than expected).
Fields of papers citing papers by Debarun Kar
This network shows the impact of papers produced by Debarun Kar. 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 Debarun Kar. The network helps show where Debarun Kar may publish in the future.
Co-authors
The 25 scholars most cited alongside Debarun Kar, 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 | 2018 | 50 | |
| 2 | 2015 | 49 | |
| 3 | 2014 | 27 | |
| 4 | 2015 | 24 | |
| 5 | 2016 | 16 | |
| 6 | 2016 | 14 | |
| 7 | 2016 | 14 | |
| 8 | Know Your Adversary: Insights for a Better Adversarial Behavioral Model. | 2016 | 8 |
| 9 | 2014 | 6 | |
| 10 | 2017 | 6 | |
| 11 | 2014 | 1 | |
| 12 | Effectiveness of Probability Perception Modeling and Defender Strategy Generation Algorithms in Repeated Stackelberg Games: An Initial Report | 2015 | 0 |
| 13 | Evaluation of Predictive Models for Wildlife Poaching Activity through Controlled Field Test in Uganda. | 2018 | 0 |
About Debarun Kar
Debarun Kar is a scholar working on Sociology and Political Science, Civil and Structural Engineering, Information Systems, Management Science and Operations Research and Aerospace Engineering, having authored 13 papers that have together received 215 indexed citations. Recurring topics across this work include Crime Patterns and Interventions (4 papers), Terrorism, Counterterrorism, and Political Violence (3 papers), Infrastructure Resilience and Vulnerability Analysis (2 papers), Game Theory and Applications (2 papers), Educational Games and Gamification (2 papers), Evolutionary Game Theory and Cooperation (2 papers), Crime, Illicit Activities, and Governance (2 papers) and Evacuation and Crowd Dynamics (1 paper). The work is most often cited by research in Management Science and Operations Research (31 citations), Computer Science Applications (13 citations), Ecological Modeling (9 citations), Civil and Structural Engineering (42 citations) and Computer Networks and Communications (37 citations). Debarun Kar has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Milind Tambe, Fei Fang, Nicole D. Sintov, Thanh H. Nguyen, Arnaud Lyet, Arunesh Sinha, Jongmoo Choi, Elizabeth Bondi, Lucas Joppa and William B. Haskell. Their work appears in journals such as Artificial Intelligence, AI Magazine, Cognitive Science, Games and Proceedings of the AAAI Conference on Artificial Intelligence.
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.