Debarun Kar

573 total citations
13 papers, 215 citations indexed

About

Debarun Kar is a scholar working on Sociology and Political Science, Civil and Structural Engineering and Information Systems. According to data from OpenAlex, Debarun Kar has authored 13 papers receiving a total of 215 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Sociology and Political Science, 2 papers in Civil and Structural Engineering and 2 papers in Information Systems. Recurrent topics in Debarun Kar's work include Crime Patterns and Interventions (4 papers), Terrorism, Counterterrorism, and Political Violence (3 papers) and Game Theory and Applications (2 papers). Debarun Kar is often cited by papers focused on Crime Patterns and Interventions (4 papers), Terrorism, Counterterrorism, and Political Violence (3 papers) and Game Theory and Applications (2 papers). Debarun Kar collaborates with scholars based in United States, United Kingdom and Netherlands. Debarun Kar's co-authors include Milind Tambe, Fei Fang, Nicole D. Sintov, Thanh H. Nguyen, Arnaud Lyet, Arunesh Sinha, Mark Hamilton, William B. Haskell, Jongmoo Choi and Ram Nevatia and has published in prestigious journals such as Artificial Intelligence, Cognitive Science and AI Magazine.

In The Last Decade

Debarun Kar

11 papers receiving 199 citations

Peers

Debarun Kar

CSE

CNC

SPS

Thanuka L. Wickramarathne United States

Ye Deng China

Yongzhen Li China

Wei Kang China

Ishani Chatterjee United States

Ha Manh Tran Vietnam

Rongsheng Dong China

Alexis Drogoul France

Marco Grassia Italy

Thanuka L. Wickramarathne United States

Debarun Kar

124 ×2.4

27 ×0.6

CSE

56 ×1.5

CNC

7 ×0.2

SPS

17 ×0.5

Citations per year, relative to Debarun Kar Debarun Kar (= 1×) peers Thanuka L. Wickramarathne

Countries citing papers authored by Debarun Kar

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Debarun Kar

This figure shows the co-authorship network connecting the top 25 collaborators of Debarun Kar. A scholar is included among the top collaborators of Debarun Kar 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 Debarun Kar. Debarun Kar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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13 of 13 papers shown

Gholami, Shahrzad, Debarun Kar, Fei Fang, et al.. (2018). Evaluation of Predictive Models for Wildlife Poaching Activity through Controlled Field Test in Uganda.. National Conference on Artificial Intelligence. 344–347.

Bondi, Elizabeth, Fei Fang, Mark Hamilton, et al.. (2018). SPOT Poachers in Action: Augmenting Conservation Drones With Automatic Detection in Near Real Time. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 50 indexed citations

Sintov, Nicole D., Debarun Kar, Thanh H. Nguyen, et al.. (2017). Keeping It Real: Using Real‐World Problems to Teach AI to Diverse Audiences. AI Magazine. 38(2). 35–47. 6 indexed citations

Kar, Debarun, et al.. (2016). Know Your Adversary: Insights for a Better Adversarial Behavioral Model.. Cognitive Science. 8 indexed citations

Kar, Debarun, Fei Fang, Francesco M. Delle Fave, et al.. (2016). Comparing human behavior models in repeated Stackelberg security games: An extended study. Artificial Intelligence. 240. 65–103. 16 indexed citations

Zhang, Chao, Shahrzad Gholami, Debarun Kar, et al.. (2016). Keeping Pace with Criminals: An Extended Study of Designing Patrol Allocation against Adaptive Opportunistic Criminals. Games. 7(3). 15–15. 14 indexed citations

Sintov, Nicole D., Debarun Kar, Thanh H. Nguyen, et al.. (2016). From the Lab to the Classroom and Beyond: Extending a Game-Based Research Platform for Teaching AI to Diverse Audiences. Proceedings of the AAAI Conference on Artificial Intelligence. 30(1). 14 indexed citations

Kar, Debarun, et al.. (2015). "A Game of Thrones": When Human Behavior Models Compete in Repeated Stackelberg Security Games. Adaptive Agents and Multi-Agents Systems. 1381–1390. 49 indexed citations

Kar, Debarun, Fei Fang, Francesco M. Delle Fave, et al.. (2015). Effectiveness of Probability Perception Modeling and Defender Strategy Generation Algorithms in Repeated Stackelberg Games: An Initial Report. National Conference on Artificial Intelligence.

10.

Sinha, Arunesh, Thanh H. Nguyen, Debarun Kar, et al.. (2015). From physical security to cybersecurity. tyv007–tyv007. 24 indexed citations

11.

Kar, Debarun, et al.. (2014). PAWS: adaptive game-theoretic patrolling for wildlife protection. Adaptive Agents and Multi-Agents Systems. 1641–1642. 6 indexed citations

12.

Kwak, Jun-young, Debarun Kar, William B. Haskell, Pradeep Varakantham, & Milind Tambe. (2014). Building THINC: user incentivization and meeting rescheduling for energy savings. Adaptive Agents and Multi-Agents Systems. 925–932. 1 indexed citations

13.

Haskell, William B., et al.. (2014). Robust Protection of Fisheries with COmPASS. Proceedings of the AAAI Conference on Artificial Intelligence. 28(2). 2978–2983. 27 indexed citations

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.

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