Sujoy Mukerji
- Economics and Econometrics top 0.5%
- General Decision Sciences top 0.2%
- Management Science and Operations Research top 0.5%
- Finance top 1%
- Safety Research top 1%
- Co-authors
- Peter KlibanoffMássimo MarinacciJean‐Marc TallonFabrice CollardKevin SheppardRobin CubittGijs van de KuilenIan Jewitt
- Topics
- Decision-Making and Behavioral Economics (25 papers)Economic theories and models (15 papers)Financial Markets and Investment Strategies (9 papers)
- Partner nations
- United KingdomFranceUnited States
In The Last Decade
Sujoy Mukerji
33 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 78
- Economics and Econometrics 1.4k
- General Decision Sciences 1.1k
- Management Science and Operations Research 679
- Finance 660
- Safety Research 287
Countries citing papers authored by Sujoy Mukerji
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 10 | |
| 5 | 14 | |
| 6 | 19 | |
| 7 | 17 | |
| 8 | Incomplete Information Games with Smooth Ambiguity Preferences | 5 |
| 9 | 17 | |
| 10 | 40 | |
| 11 | 4 | |
| 12 | A Smooth Model of Decision Making under Ambiguitybreakdown → | 1243 |
| 13 | 15 | |
| 14 | 22 | |
| 15 | 10 | |
| 16 | 44 | |
| 17 | 10 | |
| 18 | 150 | |
| 19 | 12 | |
| 20 | 73 |
About Sujoy Mukerji
Sujoy Mukerji is a scholar working on General Decision Sciences, Management Science and Operations Research and Economics and Econometrics, having authored 34 papers that have together received 2.2k indexed citations. Recurring topics across this work include Decision-Making and Behavioral Economics (25 papers), Economic theories and models (15 papers) and Financial Markets and Investment Strategies (9 papers). The work is most often cited by research in General Decision Sciences (1.1k citations), Finance (660 citations) and Management Science and Operations Research (679 citations). Sujoy Mukerji has collaborated with scholars based in United Kingdom, France and United States. Frequent co-authors include Peter Klibanoff, Mássimo Marinacci, Jean‐Marc Tallon, Fabrice Collard, Kevin Sheppard, Robin Cubitt, Gijs van de Kuilen, Ian Jewitt, Kyoungwon Seo and Eran Hanany. Their work appears in journals such as Econometrica, The Economic Journal and The Review of Economic Studies.
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.