Sandip Sen

6.6k citations
196 papers · 2.7k · h-index 29

Impact in

Papers in

Sandip Sen

182 papers receiving 2.5k citations

Peers

Sandip Sen
Comparison fields: 5 of 131
  • Management Science and Operations Research 786
  • Artificial Intelligence 1.4k
  • Gastroenterology 133
  • Computer Networks and Communications 562
  • Safety Research 190
Replace Mustaque Ahamad with:
Mustaque Ahamad United States
Mehdi Dastani Netherlands
Simon Miles United Kingdom
Dongyan Zhao China
Adam Marcus United States
Zhiqi Shen Singapore
Praveen Paritosh United States
Johannes Fürnkranz Germany
David Sánchez Spain
Shafiq Joty Singapore
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Citations per field
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Citations per year

Countries citing papers authored by Sandip Sen

Since Specialization
Citations

This map shows the geographic impact of Sandip Sen'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 Sandip Sen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandip Sen more than expected).

Fields of papers citing papers by Sandip Sen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sandip Sen. 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 Sandip Sen. The network helps show where Sandip Sen may publish in the future.

Co-authors

The 25 scholars most cited alongside Sandip Sen, 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 Sandip Sen Line = papers co-authored together Sandip Sen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 196 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Learning to coordinate without sharing information
1994192
2 2002173
3
Emergence of norms through social learning
2007157
4 200293
5
Learning in multiagent systems
199985
6 200281
7 200273
8 200272
9 199869
10 199964
11
Strongly Typed Genetic Programming in Evolving Cooperation Strategies
199560
12 201158
13
Reciprocity: a foundational principle for promoting cooperative behavior among self-interested agents
199654
14 199750
15 199846
16 199745
17 200944
18 199739
19
Evolving a Team
199537
20 200534

About Sandip Sen

Sandip Sen is a scholar working on Artificial Intelligence, Management Science and Operations Research, Sociology and Political Science, Computer Networks and Communications and Statistical and Nonlinear Physics, having authored 196 papers that have together received 2.7k indexed citations. Recurring topics across this work include Multi-Agent Systems and Negotiation (45 papers), Evolutionary Game Theory and Cooperation (38 papers), Game Theory and Applications (36 papers), Auction Theory and Applications (30 papers), Experimental Behavioral Economics Studies (23 papers), Opinion Dynamics and Social Influence (22 papers), Reinforcement Learning in Robotics (21 papers) and Evolutionary Algorithms and Applications (16 papers). The work is most often cited by research in Management Science and Operations Research (786 citations), Artificial Intelligence (1.4k citations), Gastroenterology (133 citations), Computer Networks and Communications (562 citations) and Safety Research (190 citations). Sandip Sen has collaborated with scholars based in United States, India and Spain. Frequent co-authors include Stéphane Airiau, Edmund H. Durfee, Thomas Haynes, John Hale, Daniel Villatoro, Gerhard Weiß, Arthur L. Corcoran, Jordi Sabater-Mir, Neeraj K. Arora and Sabyasachi Saha. Their work appears in journals such as International Journal of Human-Computer Studies, Autonomous Agents and Multi-Agent Systems, Connection Science, Group Decision and Negotiation and The Knowledge Engineering Review.

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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