Evan Moore
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
- General Decision Sciences top 5%
- Decision-Making and Behavioral Economics
Papers in
-
- Sports Analytics and Performance 7
- Complex Systems and Time Series Analysis 1
-
- Gambling Behavior and Treatments 5
- Co-authors
- Martin Dufwenberg (1 shared paper)Roni Rosenfeld (2 shared papers)Dave Osthus (2 shared papers)Michael A. Johansson (2 shared papers)Matthew Biggerstaff (2 shared papers)Logan Brooks (2 shared papers)Nicholas G Reich (2 shared papers)Teresa K. Yamana (2 shared papers)
- Journals
- PLoS Computational Biology (1 paper)American Economic Review (1 paper)Proceedings of the National Academy of Sciences (1 paper)Atlantic Economic Journal (1 paper)International Review of Economics Education (1 paper)
- Partner nations
- United StatesSweden
In The Last Decade
Evan Moore
10 papers receiving 462 citations
Peers
Comparison fields: 5 of 78
- Modeling and Simulation 167
- General Decision Sciences 53
- Finance 156
- Safety Research 102
- Economics and Econometrics 166
Countries citing papers authored by Evan Moore
This map shows the geographic impact of Evan Moore'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 Evan Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Evan Moore more than expected).
Fields of papers citing papers by Evan Moore
This network shows the impact of papers produced by Evan Moore. 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 Evan Moore. The network helps show where Evan Moore may publish in the future.
Co-authors
The 21 scholars most cited alongside Evan Moore, 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 | 2005 | 208 | |
| 2 | 2019 | 145 | |
| 3 | 2019 | 95 | |
| 4 | 2007 | 20 | |
| 5 | 2019 | 4 | |
| 6 | 2018 | 3 | |
| 7 | 2019 | 2 | |
| 8 | 2022 | 1 | |
| 9 | 2014 | 1 | |
| 10 | 2008 | 1 | |
| 11 | College football bettors and the wisdom of crowds | 2019 | 0 |
| 12 | 2020 | 0 | |
| 13 | 1970 | 0 |
About Evan Moore
Evan Moore is a scholar working on Economics and Econometrics, Clinical Psychology, Gender Studies, Finance and Epidemiology, having authored 13 papers that have together received 480 indexed citations. Recurring topics across this work include Sports Analytics and Performance (7 papers), Gambling Behavior and Treatments (5 papers), Sports, Gender, and Society (3 papers), Financial Markets and Investment Strategies (2 papers), Influenza Virus Research Studies (2 papers), COVID-19 epidemiological studies (2 papers), Decision-Making and Behavioral Economics (1 paper) and Complex Systems and Time Series Analysis (1 paper). The work is most often cited by research in Modeling and Simulation (167 citations), General Decision Sciences (53 citations), Finance (156 citations), Safety Research (102 citations) and Economics and Econometrics (166 citations). Evan Moore has collaborated with scholars based in United States and Sweden. Frequent co-authors include Martin Dufwenberg, Roni Rosenfeld, Dave Osthus, Michael A. Johansson, Matthew Biggerstaff, Logan Brooks, Nicholas G Reich, Teresa K. Yamana, Sasikiran Kandula and Abhinav Tushar. Their work appears in journals such as PLoS Computational Biology, American Economic Review, Proceedings of the National Academy of Sciences, Atlantic Economic Journal and International Review of Economics Education.
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.