Debraj Ray

15.9k citations
147 papers · 8.2k · 1 hit paper · h-index 44

Impact in

Papers in

Debraj Ray

142 papers receiving 7.5k citations

Debraj Ray's Hit Papers

Ethnicity and Conflict: An Empirical Study 2012 · 313 citations
3130+4+9Years since publication100200300

Peers

Debraj Ray
Comparison fields: 5 of 145
  • Safety Research 1.5k
  • Economics and Econometrics 4.5k
  • Management Science and Operations Research 1.7k
  • General Decision Sciences 194
  • Demography 976
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Debraj Ray relative to Dilip Mookherjee United States Dilip Mookherjee's profile →
Citations per field
00.5×3.8×
Dilip Mookherjee · 1×
Citations per year

Countries citing papers authored by Debraj Ray

Since Specialization
Citations

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

Fields of papers citing papers by Debraj Ray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 147 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004357
2 1999321
3
Ethnicity and Conflict: An Empirical Study
Hit paper breakdown →
2012313
4 1998303
5 1987287
6 1999262
7 2001252
8 1997250
9 1993248
10 2007245
11 2011238
12 1986231
13 1998224
14 1996211
15 2008182
16 1989177
17 2003171
18 2003159
19 2008148
20 2006145

About Debraj Ray

Debraj Ray is a scholar working on Economics and Econometrics, Sociology and Political Science, Management Science and Operations Research, Safety Research and Demography, having authored 147 papers that have together received 8.2k indexed citations. Recurring topics across this work include Economic theories and models (58 papers), Income, Poverty, and Inequality (24 papers), Game Theory and Applications (22 papers), Game Theory and Voting Systems (21 papers), Experimental Behavioral Economics Studies (19 papers), Fiscal Policy and Economic Growth (16 papers), Auction Theory and Applications (14 papers) and Economic Growth and Productivity (13 papers). The work is most often cited by research in Safety Research (1.5k citations), Economics and Econometrics (4.5k citations), Management Science and Operations Research (1.7k citations), General Decision Sciences (194 citations) and Demography (976 citations). Debraj Ray has collaborated with scholars based in United States, Spain and India. Frequent co-authors include Joan Esteban, Rajiv Vohra, Dilip Mookherjee, Bhaskar Dutta, Parikshit Ghosh, Partha Dasgupta, Garance Genicot, Laura Mayoral, B. Douglas Bernheim and Partha Dasgupta. Their work appears in journals such as Journal of Economic Theory, American Economic Review, The Review of Economic Studies, Econometrica and Journal of the European Economic Association.

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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