Leeat Yariv
- Economics and Econometrics top 1%
- Management Science and Operations Research top 0.5%
- Safety Research top 0.5%
- Sociology and Political Science top 5%
- Statistical and Nonlinear Physics top 2%
- Co-authors
- Matthew O. JacksonErik SnowbergJacob K. GoereeDino GerardiMariagiovanna BaccaraAndrea GaleottiSanjeev GoyalFernando Vega‐Redondo
- Topics
- Experimental Behavioral Economics Studies (33 papers)Auction Theory and Applications (22 papers)Game Theory and Voting Systems (22 papers)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Leeat Yariv
67 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Economics and Econometrics 942
- Management Science and Operations Research 820
- Safety Research 779
- Sociology and Political Science 534
- Statistical and Nonlinear Physics 329
Countries citing papers authored by Leeat Yariv
This map shows the geographic impact of Leeat Yariv'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 Leeat Yariv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leeat Yariv more than expected).
Fields of papers citing papers by Leeat Yariv
This network shows the impact of papers produced by Leeat Yariv. 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 Leeat Yariv. The network helps show where Leeat Yariv may publish in the future.
Co-authorship network of co-authors of Leeat Yariv
This figure shows the co-authorship network connecting the top 25 collaborators of Leeat Yariv. A scholar is included among the top collaborators of Leeat Yariv 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 Leeat Yariv. Leeat Yariv 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 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 190 | |
| 6 | 6 | |
| 7 | 10 | |
| 8 | 14 | |
| 9 | Child adoption matching: preferences for gender and race | 1 |
| 10 | 64 | |
| 11 | 28 | |
| 12 | 1 | |
| 13 | 108 | |
| 14 | 5 | |
| 15 | 1 | |
| 16 | 100 | |
| 17 | 314 | |
| 18 | Committee Design in the Presence of Communication | 5 |
| 19 | I'll See It When I Believe It - A Simple Model of Cognitive Consistency | 54 |
| 20 | Believe and Let Believe: Axiomatic Foundations for Belief Dependent Utility Functionals | 4 |
About Leeat Yariv
Leeat Yariv is a scholar working on General Decision Sciences, Safety Research and Management Science and Operations Research, having authored 71 papers that have together received 2.4k indexed citations. Recurring topics across this work include Experimental Behavioral Economics Studies (33 papers), Auction Theory and Applications (22 papers) and Game Theory and Voting Systems (22 papers). The work is most often cited by research in General Decision Sciences (328 citations), Safety Research (779 citations) and Management Science and Operations Research (820 citations). Leeat Yariv has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Matthew O. Jackson, Erik Snowberg, Jacob K. Goeree, Dino Gerardi, Mariagiovanna Baccara, Andrea Galeotti, Sanjeev Goyal, Fernando Vega‐Redondo, Ben Gillen and Liran Einav. Their work appears in journals such as American Economic Review, Econometrica and Journal of Political Economy.
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.