Sujoy Mukerji

3.9k total citations · 1 hit paper
34 papers, 2.2k citations indexed

About

Sujoy Mukerji is a scholar working on Economics and Econometrics, General Decision Sciences and Management Science and Operations Research. According to data from OpenAlex, Sujoy Mukerji has authored 34 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Economics and Econometrics, 25 papers in General Decision Sciences and 15 papers in Management Science and Operations Research. Recurrent topics in Sujoy Mukerji's work include Decision-Making and Behavioral Economics (25 papers), Economic theories and models (15 papers) and Financial Markets and Investment Strategies (9 papers). Sujoy Mukerji is often cited by papers focused on Decision-Making and Behavioral Economics (25 papers), Economic theories and models (15 papers) and Financial Markets and Investment Strategies (9 papers). Sujoy Mukerji collaborates with scholars based in United Kingdom, France and United States. Sujoy Mukerji's co-authors include Peter Klibanoff, Mássimo Marinacci, Jean‐Marc Tallon, Fabrice Collard, Kevin Sheppard, Gijs van de Kuilen, Robin Cubitt, Ian Jewitt, Kyoungwon Seo and Eran Hanany and has published in prestigious journals such as Econometrica, The Economic Journal and The Review of Economic Studies.

In The Last Decade

Sujoy Mukerji

33 papers receiving 2.0k citations

Hit Papers

A Smooth Model of Decision Making under Ambiguity 2005 2026 2012 2019 2005 400 800 1.2k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A Smooth Model of Decision Making under Ambiguity
    2005 1.2k citations Peter Klibanoff, Mássimo Marinacci et al. Econometrica profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sujoy Mukerji United Kingdom 16 1.4k 1.1k 679 660 287 34 2.2k
Peter Klibanoff United States 15 1.4k 1.0× 1.2k 1.1× 735 1.1× 573 0.9× 344 1.2× 32 2.2k
Paolo Ghirardato United States 14 1.2k 0.8× 1.2k 1.1× 666 1.0× 415 0.6× 263 0.9× 24 1.9k
Uzi Segal United States 19 1.3k 0.9× 1.1k 1.0× 554 0.8× 253 0.4× 373 1.3× 72 1.8k
Jean‐Marc Tallon France 17 779 0.5× 665 0.6× 416 0.6× 312 0.5× 137 0.5× 44 1.2k
Mark J. Machina United States 19 1.3k 0.9× 1.3k 1.2× 637 0.9× 200 0.3× 331 1.2× 42 2.1k
Jürgen Eichberger Germany 16 736 0.5× 593 0.5× 402 0.6× 261 0.4× 280 1.0× 57 1.2k
Simon Grant Australia 20 799 0.6× 743 0.7× 401 0.6× 201 0.3× 252 0.9× 91 1.3k
Sérgio Ribeiro da Costa Werlang Brazil 11 785 0.6× 322 0.3× 469 0.7× 444 0.7× 180 0.6× 26 1.3k
Chris D. Orme United Kingdom 13 779 0.5× 579 0.5× 227 0.3× 160 0.2× 239 0.8× 32 1.3k
David Kelsey United Kingdom 22 819 0.6× 572 0.5× 346 0.5× 118 0.2× 292 1.0× 93 1.5k

Countries citing papers authored by Sujoy Mukerji

Since Specialization
Citations

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

Fields of papers citing papers by Sujoy Mukerji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sujoy Mukerji

This figure shows the co-authorship network connecting the top 25 collaborators of Sujoy Mukerji. A scholar is included among the top collaborators of Sujoy Mukerji 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 Sujoy Mukerji. Sujoy Mukerji is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Mukerji, Sujoy, Han N. Özsöylev, & Jean‐Marc Tallon. (2023). TRADING AMBIGUITY: A TALE OF TWO HETEROGENEITIES. International Economic Review. 64(3). 1127–1164. 2 indexed citations
2.
Hara, Chiaki, Sujoy Mukerji, Frank Riedel, & Jean‐Marc Tallon. (2022). Efficient Allocations under Ambiguous Model Uncertainty. SSRN Electronic Journal. 4 indexed citations
3.
Klibanoff, Peter, et al.. (2021). Foundations of ambiguity models under symmetry: α-MEU and smooth ambiguity. Journal of Economic Theory. 199. 105202–105202. 10 indexed citations
4.
Altuğ, Sumru, Fabrice Collard, Cem Çakmaklı, Sujoy Mukerji, & Han N. Özsöylev. (2020). Ambiguous business cycles: A quantitative assessment. Review of Economic Dynamics. 38. 220–237. 12 indexed citations
5.
Billot, Antoine, Sujoy Mukerji, & Jean‐Marc Tallon. (2020). Market Allocations under Ambiguity: A Survey. Revue économique. Vol. 71(2). 267–282. 1 indexed citations
6.
Cubitt, Robin, Gijs van de Kuilen, & Sujoy Mukerji. (2018). The strength of sensitivity to ambiguity. Theory and Decision. 85(3-4). 275–302. 19 indexed citations
7.
Collard, Fabrice, Sujoy Mukerji, Kevin Sheppard, & Jean‐Marc Tallon. (2018). Ambiguity and the historical equity premium. Quantitative Economics. 9(2). 945–993. 30 indexed citations
8.
Klibanoff, Peter, Sujoy Mukerji, & Kyoungwon Seo. (2017). Symmetry axioms and perceived ambiguity. Mathematics and Financial Economics. 12(1). 33–54. 1 indexed citations
9.
Jewitt, Ian & Sujoy Mukerji. (2017). Ordering ambiguous acts. Journal of Economic Theory. 171. 213–267. 17 indexed citations
10.
Klibanoff, Peter, Sujoy Mukerji, & Kyoungwon Seo. (2014). Perceived Ambiguity and Relevant Measures. Econometrica. 82(5). 1945–1978. 17 indexed citations
11.
Klibanoff, Peter, Mássimo Marinacci, & Sujoy Mukerji. (2012). NOTES AND COMMENTS ON THE SMOOTH AMBIGUITY MODEL: A REPLY.
12.
Klibanoff, Peter, Mássimo Marinacci, & Sujoy Mukerji. (2012). On the Smooth Ambiguity Model: A Reply. Econometrica. 80(3). 1303–1321. 40 indexed citations
13.
Collard, Fabrice, Sujoy Mukerji, Kevin Sheppard, & Jean‐Marc Tallon. (2011). Ambiguity and the Historical Equity Premium. SSRN Electronic Journal. 20 indexed citations
14.
Klibanoff, Peter, Mássimo Marinacci, & Sujoy Mukerji. (2011). Definitions of ambiguous events and the smooth ambiguity model. Economic Theory. 48(2-3). 399–424. 13 indexed citations
15.
Klibanoff, Peter, Mássimo Marinacci, & Sujoy Mukerji. (2005). A Smooth Model of Decision Making under Ambiguity. Econometrica. 73(6). 1849–1892. 1243 indexed citations breakdown →
16.
Mukerji, Sujoy & Jean‐Marc Tallon. (2004). Ambiguity aversion and the absence of indexed debt. Economic Theory. 24(3). 665–685. 15 indexed citations
17.
Mukerji, Sujoy & Jean‐Marc Tallon. (2003). Ellsberg’s two-color experiment, portfolio inertia and ambiguity. Journal of Mathematical Economics. 39(3-4). 299–316. 10 indexed citations
18.
Mukerji, Sujoy & Hyun Song Shin. (2002). Equilibrium Departures from Common Knowledge in Games with Non-Additive Expected Utility. The B E Journal of Theoretical Economics. 2(1). 10 indexed citations
19.
Mukerji, Sujoy. (2000). A survey of some applications of the idea of ambiguity aversion in economics. International Journal of Approximate Reasoning. 24(2-3). 221–234. 12 indexed citations
20.
Mukerji, Sujoy. (1996). Understanding the nonadditive probability decision model. Economic Theory. 9(1). 23–46. 73 indexed citations

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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