Anuj Shah
- Sociology and Political Science top 2%
- Social Psychology top 2%
- General Decision Sciences top 0.5%
- Economics and Econometrics top 2%
- Marketing top 2%
- Co-authors
- Sendhil MullainathanEldar ShafirDaniel M. OppenheimerMichael YeomansJon KleinbergJens LudwigVladas GriskeviciusChiraag Mittal
- Topics
- Decision-Making and Behavioral Economics (14 papers)Experimental Behavioral Economics Studies (5 papers)Behavioral Health and Interventions (4 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Anuj Shah
44 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Sociology and Political Science 801
- Social Psychology 650
- General Decision Sciences 544
- Economics and Econometrics 536
- Marketing 451
Countries citing papers authored by Anuj Shah
This map shows the geographic impact of Anuj Shah'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 Anuj Shah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anuj Shah more than expected).
Fields of papers citing papers by Anuj Shah
This network shows the impact of papers produced by Anuj Shah. 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 Anuj Shah. The network helps show where Anuj Shah may publish in the future.
Co-authorship network of co-authors of Anuj Shah
This figure shows the co-authorship network connecting the top 25 collaborators of Anuj Shah. A scholar is included among the top collaborators of Anuj Shah 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 Anuj Shah. Anuj Shah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 7 | |
| 6 | 63 | |
| 7 | 23 | |
| 8 | The effects of scarcity on consumer decision journeysbreakdown → | 248 |
| 9 | 13 | |
| 10 | 6 | |
| 11 | 7 | |
| 12 | Thinking, Fast and Slow? Some Field Experiments to Reduce Crime and Dropout in Chicago. NBER Working Paper 21178. | 10 |
| 13 | How Scarcity Frames Value | 2 |
| 14 | 7 | |
| 15 | Some Consequences of Having Too Littlebreakdown → | 897 |
| 16 | 14 | |
| 17 | 21 | |
| 18 | Fluency and Psychological Distance | 1 |
| 19 | Heuristics made easy: An effort-reduction framework.breakdown → | 656 |
| 20 | 61 |
About Anuj Shah
Anuj Shah is a scholar working on General Decision Sciences, Safety Research and Applied Psychology, having authored 48 papers that have together received 3.2k indexed citations. Recurring topics across this work include Decision-Making and Behavioral Economics (14 papers), Experimental Behavioral Economics Studies (5 papers) and Behavioral Health and Interventions (4 papers). The work is most often cited by research in General Decision Sciences (544 citations), Applied Psychology (339 citations) and Safety Research (446 citations). Anuj Shah has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Sendhil Mullainathan, Eldar Shafir, Daniel M. Oppenheimer, Michael Yeomans, Jon Kleinberg, Jens Ludwig, Vladas Griskevicius, Chiraag Mittal, Debora V. Thompson and Sara Heller. Their work appears in journals such as Nature, Science and Journal of Clinical Oncology.
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.