Yuval Rottenstreich
- General Decision Sciences top 0.2%
- Economics and Econometrics top 2%
- Safety Research top 0.5%
- Sociology and Political Science top 5%
- Management Science and Operations Research top 2%
- Co-authors
- Christopher K. HseeAmos TverskyLyle BrennerSanjay SoodCraig R. FoxUri GneezyVincent P. CrawfordMarc Knez
- Topics
- Decision-Making and Behavioral Economics (24 papers)Experimental Behavioral Economics Studies (9 papers)Psychology of Moral and Emotional Judgment (7 papers)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Yuval Rottenstreich
27 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- General Decision Sciences 996
- Economics and Econometrics 537
- Safety Research 492
- Sociology and Political Science 450
- Management Science and Operations Research 349
Countries citing papers authored by Yuval Rottenstreich
This map shows the geographic impact of Yuval Rottenstreich'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 Yuval Rottenstreich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuval Rottenstreich more than expected).
Fields of papers citing papers by Yuval Rottenstreich
This network shows the impact of papers produced by Yuval Rottenstreich. 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 Yuval Rottenstreich. The network helps show where Yuval Rottenstreich may publish in the future.
Co-authorship network of co-authors of Yuval Rottenstreich
This figure shows the co-authorship network connecting the top 25 collaborators of Yuval Rottenstreich. A scholar is included among the top collaborators of Yuval Rottenstreich 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 Yuval Rottenstreich. Yuval Rottenstreich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 5 | |
| 4 | 23 | |
| 5 | ABC’s of Principal-Agent Interactions: Accurate Predictions, Biased Processes, and Contrasts between Working and Delegating | 3 |
| 6 | 170 | |
| 7 | 112 | |
| 8 | When Is More Better? On the Relationship Between Magnitude and Subjective Value | 3 |
| 9 | 4 | |
| 10 | 43 | |
| 11 | 10 | |
| 12 | 62 | |
| 13 | 21 | |
| 14 | 68 | |
| 15 | 27 | |
| 16 | 143 | |
| 17 | 167 | |
| 18 | 9 | |
| 19 | 27 | |
| 20 | 279 |
About Yuval Rottenstreich
Yuval Rottenstreich is a scholar working on General Decision Sciences, Safety Research and Management Science and Operations Research, having authored 28 papers that have together received 2.0k indexed citations. Recurring topics across this work include Decision-Making and Behavioral Economics (24 papers), Experimental Behavioral Economics Studies (9 papers) and Psychology of Moral and Emotional Judgment (7 papers). The work is most often cited by research in General Decision Sciences (996 citations), Safety Research (492 citations) and Applied Psychology (281 citations). Yuval Rottenstreich has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Christopher K. Hsee, Amos Tversky, Lyle Brenner, Sanjay Sood, Craig R. Fox, Uri Gneezy, Vincent P. Crawford, Marc Knez, Roberto A. Weber and Colin F. Camerer. Their work appears in journals such as American Economic Review, Psychological Review and Management Science.
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.