Debarun Kar

632 citations
21 papers · 426 · h-index 13

Impact in

Papers in

Debarun Kar

20 papers receiving 386 citations

Peers

Debarun Kar
Comparison fields: 5 of 71
  • Civil and Structural Engineering 118
  • Management Science and Operations Research 68
  • Ecological Modeling 19
  • Computer Networks and Communications 78
  • Information Systems 76
Replace Francesco M. Delle Fave with:
Francesco M. Delle Fave United States
Ning Chen China
Thanuka L. Wickramarathne United States
Ye Deng China
Jianhong Lin China
Hongzhong Deng China
Sam Fletcher Australia
Gerhard Wickler United Kingdom
S. Sarasvady India
Chun-Xiao Jia China
Debarun Kar relative to Francesco M. Delle Fave United States Francesco M. Delle Fave's profile →
Citations per field
00.5×6.3×
Francesco M. Delle Fave · 1×
Citations per year

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-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.

Border = papers with Debarun Kar Line = papers co-authored together Debarun Kar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201574
2 201859
3 201441
4 201634
5
Cloudy with a Chance of Poaching: Adversary Behavior Modeling and Forecasting with Real-World Poaching Data
201731
6 201531
7 201523
8 201618
9 201617
10
Know Your Adversary: Insights for a Better Adversarial Behavioral Model.
201615
11 201615
12 201815
13 201615
14 201212
15 20178
16 20147
17 20176
18 20143
19
Effectiveness of Probability Perception Modeling and Defender Strategy Generation Algorithms in Repeated Stackelberg Games: An Initial Report
20151
20 20131

About Debarun Kar

Debarun Kar is a scholar working on Sociology and Political Science, Civil and Structural Engineering, Information Systems, Ocean Engineering and Artificial Intelligence, having authored 21 papers that have together received 426 indexed citations. Recurring topics across this work include Infrastructure Resilience and Vulnerability Analysis (5 papers), Evacuation and Crowd Dynamics (4 papers), Crime Patterns and Interventions (4 papers), Game Theory and Applications (3 papers), Educational Games and Gamification (3 papers), Information and Cyber Security (3 papers), Terrorism, Counterterrorism, and Political Violence (3 papers) and Evolutionary Game Theory and Cooperation (3 papers). The work is most often cited by research in Civil and Structural Engineering (118 citations), Management Science and Operations Research (68 citations), Ecological Modeling (19 citations), Computer Networks and Communications (78 citations) and Information Systems (76 citations). Debarun Kar has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Milind Tambe, Fei Fang, Nicole D. Sintov, Thanh H. Nguyen, Arunesh Sinha, Albert Xin Jiang, Matthew Brown, Francesco M. Delle Fave, Arnaud Lyet and William B. Haskell. Their work appears in journals such as Journal of Cybersecurity, AI Magazine, Artificial Intelligence, Cognitive Science and Lecture notes in computer science.

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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