Anirban Kar
- Economics and Econometrics top 5%
- Management Science and Operations Research top 5%
- Computational Theory and Mathematics top 10%
- Safety Research top 10%
- Artificial Intelligence
- Co-authors
- Bhaskar DuttaGustavo BergantiñosLars EhlersSuresh MutuswamiEugenio ProtoGianluca GrimaldaManipushpak MitraA. R. Elangovan
- Topics
- Game Theory and Voting Systems (11 papers)Game Theory and Applications (7 papers)Auction Theory and Applications (6 papers)
- Cited by
- Management Science and Operations ResearchEconomics and EconometricsGeneral Decision Sciences
- Partner nations
- IndiaUnited KingdomCanada
In The Last Decade
Anirban Kar
14 papers receiving 229 citations
Peers
Comparison fields: 5 of 40
- Economics and Econometrics 191
- Management Science and Operations Research 152
- Computational Theory and Mathematics 53
- Safety Research 32
- Artificial Intelligence 20
Countries citing papers authored by Anirban Kar
This map shows the geographic impact of Anirban 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 Anirban Kar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anirban Kar more than expected).
Fields of papers citing papers by Anirban Kar
This network shows the impact of papers produced by Anirban 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 Anirban Kar. The network helps show where Anirban Kar may publish in the future.
Co-authorship network of co-authors of Anirban Kar
This figure shows the co-authorship network connecting the top 25 collaborators of Anirban Kar. A scholar is included among the top collaborators of Anirban 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 Anirban Kar. Anirban Kar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 16 | |
| 5 | 0 | |
| 6 | The Shapley Value as the Maximizer of Expected Nash Welfare (Extended Version) | 1 |
| 7 | 19 | |
| 8 | 22 | |
| 9 | 0 | |
| 10 | 3 | |
| 11 | 6 | |
| 12 | 17 | |
| 13 | 7 | |
| 14 | Monotonicity properties and the irreducible core in minimum cost spanning tree problems | 3 |
| 15 | 67 | |
| 16 | 63 |
About Anirban Kar
Anirban Kar is a scholar working on Research and Theory, General Decision Sciences and Management Science and Operations Research, having authored 16 papers that have together received 236 indexed citations. Recurring topics across this work include Game Theory and Voting Systems (11 papers), Game Theory and Applications (7 papers) and Auction Theory and Applications (6 papers). The work is most often cited by research in Management Science and Operations Research (152 citations), Economics and Econometrics (191 citations) and General Decision Sciences (9 citations). Anirban Kar has collaborated with scholars based in India, United Kingdom and Canada. Frequent co-authors include Bhaskar Dutta, Gustavo Bergantiños, Lars Ehlers, Suresh Mutuswami, Eugenio Proto, Gianluca Grimalda, Manipushpak Mitra, A. R. Elangovan, Claudia Steinke and Indrajit Ray. Their work appears in journals such as Journal of Economic Theory, Games and Economic Behavior and Experimental Economics.
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.