Promothesh Chatterjee

651 total citations
19 papers, 385 citations indexed

About

Promothesh Chatterjee is a scholar working on General Decision Sciences, Marketing and Social Psychology. According to data from OpenAlex, Promothesh Chatterjee has authored 19 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in General Decision Sciences, 6 papers in Marketing and 5 papers in Social Psychology. Recurrent topics in Promothesh Chatterjee's work include Decision-Making and Behavioral Economics (11 papers), Behavioral Health and Interventions (4 papers) and Consumer Behavior in Brand Consumption and Identification (4 papers). Promothesh Chatterjee is often cited by papers focused on Decision-Making and Behavioral Economics (11 papers), Behavioral Health and Interventions (4 papers) and Consumer Behavior in Brand Consumption and Identification (4 papers). Promothesh Chatterjee collaborates with scholars based in United States, India and France. Promothesh Chatterjee's co-authors include Randall L. Rose, Jayati Sinha, Surendra N. Singh, Caglar Irmak, Yexin Jessica Li, Jungsil Choi, Arul Mishra, Sanjay Mishra, R. Rose and Himanshu Mishra and has published in prestigious journals such as Journal of Personality and Social Psychology, American Psychologist and Journal of Marketing Research.

In The Last Decade

Promothesh Chatterjee

16 papers receiving 353 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Promothesh Chatterjee United States 9 192 92 69 57 53 19 385
Jihoon Jhang United States 12 205 1.1× 181 2.0× 69 1.0× 31 0.5× 30 0.6× 23 428
Rom Y. Schrift United States 11 246 1.3× 131 1.4× 50 0.7× 51 0.9× 58 1.1× 20 450
Mauricio Palmeira United States 12 221 1.2× 144 1.6× 62 0.9× 31 0.5× 57 1.1× 30 413
Rod Duclos United States 7 135 0.7× 160 1.7× 176 2.6× 47 0.8× 40 0.8× 14 413
Amitav Chakravarti United States 12 241 1.3× 123 1.3× 38 0.6× 22 0.4× 35 0.7× 25 392
Jungsil Choi United States 11 269 1.4× 155 1.7× 103 1.5× 26 0.5× 23 0.4× 21 424
Jooyoung Park China 11 187 1.0× 225 2.4× 51 0.7× 29 0.5× 17 0.3× 20 427
Ali Besharat United States 10 255 1.3× 217 2.4× 51 0.7× 17 0.3× 37 0.7× 24 420
Monika Lisjak United States 12 225 1.2× 183 2.0× 117 1.7× 39 0.7× 16 0.3× 17 432
Kate Barasz United States 7 107 0.6× 194 2.1× 52 0.8× 29 0.5× 24 0.5× 13 320

Countries citing papers authored by Promothesh Chatterjee

Since Specialization
Citations

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

Fields of papers citing papers by Promothesh Chatterjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Promothesh Chatterjee

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

All Works

19 of 19 papers shown
1.
Aggarwal, Rohit, et al.. (2025). Self-Driving Technology and Its Acceptance: Explaining Differences in Reactions of the Heterogeneous Population to Potential Policies. Production and Operations Management. 34(11). 3457–3474.
2.
Chatterjee, Promothesh, et al.. (2024). Factors that promote the repulsion effect in preferential choice. Judgment and Decision Making. 19.
3.
Banker, Sachin, Promothesh Chatterjee, Himanshu Mishra, & Arul Mishra. (2024). Machine-assisted social psychology hypothesis generation.. American Psychologist. 79(6). 789–797. 10 indexed citations
4.
Banker, Sachin, Promothesh Chatterjee, Himanshu Mishra, & Arul Mishra. (2024). The future of large language models in social science research: Reply to Berger (2024) and Carrillo et al. (2024).. American Psychologist. 79(6). 803–804. 1 indexed citations
5.
Chatterjee, Promothesh, Himanshu Mishra, & Arul Mishra. (2023). Does the first letter of one’s name affect life decisions? A natural language processing examination of nominative determinism.. Journal of Personality and Social Psychology. 125(5). 943–968. 1 indexed citations
6.
Singh, Surendra N., et al.. (2023). Unveiling Stars: How Graphical Displays of Online Consumer Ratings Affect Consumer Perception and Judgment. Journal of Marketing Research. 61(2). 225–247. 12 indexed citations
7.
Chatterjee, Promothesh, et al.. (2022). Taking a chance for a discount: An investigation into consumers’ choice of probabilistic vs. sure price promotions. Journal of Business Research. 143. 366–374. 3 indexed citations
8.
Chatterjee, Promothesh, et al.. (2022). Non‐compromise extreme effect: Attribute discriminability and preference for an extreme alternative. Journal of Consumer Behaviour. 22(1). 157–169. 2 indexed citations
9.
Chatterjee, Promothesh, et al.. (2021). It happens because I'm watching it: Observing an uncertain event can affect subjective probability judgments. Journal of Behavioral Decision Making. 35(3).
10.
Chatterjee, Promothesh, et al.. (2019). Loss is a loss, why categorize it? Mental accounting across cultures. Journal of Consumer Behaviour. 18(2). 77–88. 17 indexed citations
11.
Chatterjee, Promothesh, et al.. (2018). When store credit cards hurt retailers: The differential effect of paying credit card dues on consumers' purchasing behavior. Journal of Business Research. 107. 290–301. 11 indexed citations
12.
Chatterjee, Promothesh, et al.. (2018). When should we not expect attraction effect? The moderating influence of analytic versus holistic thinking. Journal of Strategic Marketing. 28(5). 399–416. 4 indexed citations
13.
Chatterjee, Promothesh. (2016). Response to Pashler et al. (2016). Basic and Applied Social Psychology. 38(1). 19–29. 3 indexed citations
14.
Choi, Jungsil, et al.. (2014). The odd-ending price justification effect: the influence of price-endings on hedonic and utilitarian consumption. Journal of the Academy of Marketing Science. 42(5). 545–557. 69 indexed citations
15.
Chatterjee, Promothesh, Caglar Irmak, & Randall L. Rose. (2013). The Endowment Effect as Self-Enhancement in Response to Threat. Journal of Consumer Research. 40(3). 460–476. 55 indexed citations
16.
Chatterjee, Promothesh & Randall L. Rose. (2012). Do Payment Mechanisms Change the Way Consumers Perceive Products?. Journal of Consumer Research. 38(6). 1129–1139. 118 indexed citations
17.
Mishra, Himanshu, et al.. (2012). Influence of motivated reasoning on saving and spending decisions. Organizational Behavior and Human Decision Processes. 121(1). 13–23. 12 indexed citations
18.
Chatterjee, Promothesh, et al.. (2012). Is It Light or Dark? Recalling Moral Behavior Changes Perception of Brightness. Psychological Science. 23(4). 407–409. 65 indexed citations
19.
Chatterjee, Promothesh, Arul Mishra, & Himanshu Mishra. (2010). The Reparation Effect: Indulgent Consumption Increases Donation Behavior. ACR North American Advances. 2 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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