Sudeep Bhatia
- General Decision Sciences top 0.5%
- Sociology and Political Science top 5%
- Cognitive Neuroscience top 5%
- Economics and Econometrics top 5%
- Artificial Intelligence top 5%
- Co-authors
- Lukasz WalasekRussell GolmanRussell RichieGeorge LoewensteinTed O’DonoghueGordon D. A. BrownStephen B. BroomellTimothy L. Mullett
- Topics
- Decision-Making and Behavioral Economics (40 papers)Economic and Environmental Valuation (16 papers)Experimental Behavioral Economics Studies (13 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyJournal of Personality and Social Psychology
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Sudeep Bhatia
83 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 114
- General Decision Sciences 453
- Sociology and Political Science 292
- Cognitive Neuroscience 270
- Economics and Econometrics 239
- Artificial Intelligence 212
Countries citing papers authored by Sudeep Bhatia
This map shows the geographic impact of Sudeep Bhatia'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 Sudeep Bhatia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sudeep Bhatia more than expected).
Fields of papers citing papers by Sudeep Bhatia
This network shows the impact of papers produced by Sudeep Bhatia. 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 Sudeep Bhatia. The network helps show where Sudeep Bhatia may publish in the future.
Co-authorship network of co-authors of Sudeep Bhatia
This figure shows the co-authorship network connecting the top 25 collaborators of Sudeep Bhatia. A scholar is included among the top collaborators of Sudeep Bhatia 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 Sudeep Bhatia. Sudeep Bhatia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 7 | |
| 8 | 3 | |
| 9 | 3 | |
| 10 | 13 | |
| 11 | 12 | |
| 12 | 13 | |
| 13 | 6 | |
| 14 | We Are What We Watch: Movies Contents Predicts the Personality of Their Social Media Fans | 1 |
| 15 | 45 | |
| 16 | 9 | |
| 17 | 8 | |
| 18 | 4 | |
| 19 | 11 | |
| 20 | A Recurrent Neural Network for Game Theoretic Decision Making | 4 |
About Sudeep Bhatia
Sudeep Bhatia is a scholar working on General Decision Sciences, General Social Sciences and Safety Research, having authored 88 papers that have together received 1.3k indexed citations. Recurring topics across this work include Decision-Making and Behavioral Economics (40 papers), Economic and Environmental Valuation (16 papers) and Experimental Behavioral Economics Studies (13 papers). The work is most often cited by research in General Decision Sciences (453 citations), Applied Psychology (140 citations) and Safety Research (141 citations). Sudeep Bhatia has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Lukasz Walasek, Russell Golman, Russell Richie, George Loewenstein, Ted O’Donoghue, Gordon D. A. Brown, Stephen B. Broomell, Timothy L. Mullett, Graham Loomes and Lisheng He. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Personality and Social Psychology.
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.