Daniel Hojman
Impact in
- General Decision Sciences top 10%
-
- Game Theory and Applications
Papers in
-
- Media Influence and Politics 2
- Evolutionary Game Theory and Cooperation 2
-
- Economic theories and models 4
- Co-authors
- Ádám Szeidl (3 shared papers)Jaime Ruiz‐Tagle (3 shared papers)Filipe Campante (2 shared papers)Jerry Green (1 shared paper)Carolina Delgado (1 shared paper)Andrea Slachevsky (1 shared paper)Fabián Duarte (2 shared papers)Claudio A. Agostini (1 shared paper)
- Journals
- Journal of Public Economics (2 papers)Games and Economic Behavior (1 paper)World Development (1 paper)Economics of Education Review (1 paper)Journal of Economic Theory (1 paper)
- Partner nations
- ChileUnited StatesAustria
In The Last Decade
Daniel Hojman
15 papers receiving 541 citations
Peers
Comparison fields: 5 of 94
- General Decision Sciences 29
- Management Science and Operations Research 116
- Safety Research 61
- Statistical and Nonlinear Physics 82
- Economics and Econometrics 156
Countries citing papers authored by Daniel Hojman
This map shows the geographic impact of Daniel Hojman'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 Daniel Hojman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Hojman more than expected).
Fields of papers citing papers by Daniel Hojman
This network shows the impact of papers produced by Daniel Hojman. 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 Daniel Hojman. The network helps show where Daniel Hojman may publish in the future.
Co-authors
The 11 scholars most cited alongside Daniel Hojman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 141 | |
| 2 | 2016 | 96 | |
| 3 | 2017 | 62 | |
| 4 | 2013 | 51 | |
| 5 | 2017 | 51 | |
| 6 | 2007 | 40 | |
| 7 | 2005 | 32 | |
| 8 | 2016 | 31 | |
| 9 | 2018 | 17 | |
| 10 | 2006 | 15 | |
| 11 | 2009 | 8 | |
| 12 | Media and Polarization: Evidence from the Introduction of Broadcast TV in the US | 2013 | 7 |
| 13 | 2015 | 3 | |
| 14 | 2009 | 2 | |
| 15 | 2015 | 1 |
About Daniel Hojman
Daniel Hojman is a scholar working on Sociology and Political Science, Economics and Econometrics, Management Science and Operations Research, General Health Professions and Health, having authored 15 papers that have together received 557 indexed citations. Recurring topics across this work include Game Theory and Applications (4 papers), Economic theories and models (4 papers), School Choice and Performance (2 papers), Media Influence and Politics (2 papers), Business Strategy and Innovation (2 papers), Employment and Welfare Studies (2 papers), Health disparities and outcomes (2 papers) and Evolutionary Game Theory and Cooperation (2 papers). The work is most often cited by research in General Decision Sciences (29 citations), Management Science and Operations Research (116 citations), Safety Research (61 citations), Statistical and Nonlinear Physics (82 citations) and Economics and Econometrics (156 citations). Daniel Hojman has collaborated with scholars based in Chile, United States and Austria. Frequent co-authors include Ádám Szeidl, Jaime Ruiz‐Tagle, Filipe Campante, Jerry Green, Carolina Delgado, Andrea Slachevsky, Fabián Duarte, Claudio A. Agostini, Alejandra Mizala and Felipe Kast. Their work appears in journals such as Journal of Public Economics, Games and Economic Behavior, World Development, Economics of Education Review and Journal of Economic Theory.
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.