Leonardo Bursztyn
- Sociology and Political Science top 1%
- Economics and Econometrics top 1%
- Safety Research top 0.5%
- Gender Studies top 2%
- Demography top 1%
- Co-authors
- Robert T. JensenDavid Yanagizawa-DrottStefano FiorinBruno FermanNoam YuchtmanGeorgy EgorovAlessandra L. GonzálezFlorian Ederer
- Topics
- Media Influence and Politics (18 papers)Experimental Behavioral Economics Studies (17 papers)Culture, Economy, and Development Studies (14 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Leonardo Bursztyn
45 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Sociology and Political Science 991
- Economics and Econometrics 697
- Safety Research 545
- Gender Studies 302
- Demography 296
Countries citing papers authored by Leonardo Bursztyn
This map shows the geographic impact of Leonardo Bursztyn'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 Leonardo Bursztyn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leonardo Bursztyn more than expected).
Fields of papers citing papers by Leonardo Bursztyn
This network shows the impact of papers produced by Leonardo Bursztyn. 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 Leonardo Bursztyn. The network helps show where Leonardo Bursztyn may publish in the future.
Co-authorship network of co-authors of Leonardo Bursztyn
This figure shows the co-authorship network connecting the top 25 collaborators of Leonardo Bursztyn. A scholar is included among the top collaborators of Leonardo Bursztyn 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 Leonardo Bursztyn. Leonardo Bursztyn 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 | 3 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 6 | |
| 8 | 20 | |
| 9 | 47 | |
| 10 | 11 | |
| 11 | 0 | |
| 12 | 3 | |
| 13 | From Extreme to Mainstream: How Social Norms Unravel | 5 |
| 14 | Polls, the Press, and Political Participation: The Effects of Anticipated Election Closeness on Voter Turnout | 12 |
| 15 | 79 | |
| 16 | 47 | |
| 17 | 66 | |
| 18 | 127 | |
| 19 | How Does Peer Pressure Affect Educational Investments | 3 |
| 20 | Understanding Peer Effects in Financial Decisions: Evidence from a Field Experiment | 4 |
About Leonardo Bursztyn
Leonardo Bursztyn is a scholar working on Safety Research, Demography and Communication, having authored 50 papers that have together received 2.2k indexed citations. Recurring topics across this work include Media Influence and Politics (18 papers), Experimental Behavioral Economics Studies (17 papers) and Culture, Economy, and Development Studies (14 papers). The work is most often cited by research in Safety Research (545 citations), General Decision Sciences (119 citations) and Gender Studies (302 citations). Leonardo Bursztyn has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Robert T. Jensen, David Yanagizawa-Drott, Stefano Fiorin, Bruno Ferman, Noam Yuchtman, Georgy Egorov, Alessandra L. González, Florian Ederer, Amanda Pallais and Thomas Fujiwara. Their work appears in journals such as American Economic Review, The Quarterly Journal of Economics and Econometrica.
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.