Arunava Sen

2.7k citations
64 papers · 1.5k · h-index 20

Impact in

Papers in

Arunava Sen

59 papers receiving 1.4k citations

Peers

Arunava Sen
Comparison fields: 5 of 70
  • Management Science and Operations Research 1.1k
  • General Decision Sciences 144
  • Safety Research 371
  • Economics and Econometrics 1.2k
  • Marketing 90
Replace Salvador Barberà with:
Salvador Barberà Spain
Haluk Ergin United States
Michele Piccione United Kingdom
Jean‐François Laslier France
Lars Ehlers Canada
Roberto Serrano United States
Yves Sprumont Canada
Jean‐François Mertens Belgium
John Duggan United States
Michel Le Breton France
Arunava Sen relative to Salvador Barberà Spain Salvador Barberà's profile →
Citations per field
00.5×1.5×
Salvador Barberà · 1×
Citations per year

Countries citing papers authored by Arunava Sen

Since Specialization
Citations

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

Fields of papers citing papers by Arunava Sen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1972293
2 2006121
3 1991111
4 199091
5 199189
6 201179
7 200158
8 199458
9 199952
10 200345
11 200939
12 199134
13 200434
14 200130
15 200627
16 199621
17 201421
18 201420
19 199520
20 201120

About Arunava Sen

Arunava Sen is a scholar working on Economics and Econometrics, Management Science and Operations Research, Artificial Intelligence, Safety Research and General Decision Sciences, having authored 64 papers that have together received 1.5k indexed citations. Recurring topics across this work include Game Theory and Voting Systems (48 papers), Auction Theory and Applications (40 papers), Game Theory and Applications (31 papers), Experimental Behavioral Economics Studies (9 papers), Economic theories and models (7 papers), Decision-Making and Behavioral Economics (7 papers), Logic, Reasoning, and Knowledge (5 papers) and Bayesian Modeling and Causal Inference (4 papers). The work is most often cited by research in Management Science and Operations Research (1.1k citations), General Decision Sciences (144 citations), Safety Research (371 citations), Economics and Econometrics (1.2k citations) and Marketing (90 citations). Arunava Sen has collaborated with scholars based in India, United Kingdom and France. Frequent co-authors include Bhaskar Dutta, Dilip Abreu, Prasanta K. Pattanaik, Michael Taylor, S. Chatterji, Michel Le Breton, Sushil Bikhchandani, Hans Peters, Noam Nisan and Ahuva Mu’alem. Their work appears in journals such as Journal of Economic Theory, Social Choice and Welfare, Games and Economic Behavior, Journal of Mathematical Economics and Theoretical 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.

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