Levi Boxell
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
- Communication top 2%
- Social Media and Politics
Papers in
-
- Social Media and Politics 4
-
- Electoral Systems and Political Participation 3
- Populism, Right-Wing Movements 1
- Co-authors
- Matthew Aaron Gentzkow (5 shared papers)Jacob Conway (3 shared papers)Hunt Allcott (2 shared papers)Michael Thaler (1 shared paper)David Y. Yang (1 shared paper)Jesse M. Shapiro (2 shared papers)ZACHARY STEINERT-THRELKELD (1 shared paper)James N. Druckman (1 shared paper)
- Journals
- Quarterly Journal of Political Science (1 paper)Economics Letters (1 paper)World Development (1 paper)Proceedings of the National Academy of Sciences (1 paper)Journal of Public Economics (1 paper)
- Partner nations
- United StatesPhilippines
In The Last Decade
Levi Boxell
9 papers receiving 891 citations
Levi Boxell's Hit Papers
Peers
Comparison fields: 5 of 82
- Modeling and Simulation 199
- Communication 229
- Health 114
- Sociology and Political Science 491
- Economics and Econometrics 218
Countries citing papers authored by Levi Boxell
This map shows the geographic impact of Levi Boxell'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 Levi Boxell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Levi Boxell more than expected).
Fields of papers citing papers by Levi Boxell
This network shows the impact of papers produced by Levi Boxell. 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 Levi Boxell. The network helps show where Levi Boxell may publish in the future.
Co-authors
The 8 scholars most cited alongside Levi Boxell, 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 | Polarization and public health: Partisan differences in social distancing during the coronavirus pandemic Hit paper breakdown → | 2020 | 660 |
| 2 | Greater Internet use is not associated with faster growth in political polarization among US demographic groups Hit paper breakdown → | 2017 | 243 |
| 3 | 2022 | 15 | |
| 4 | 2020 | 9 | |
| 5 | 2018 | 9 | |
| 6 | 2015 | 7 | |
| 7 | 2019 | 6 | |
| 8 | 2022 | 4 | |
| 9 | 2024 | 2 |
About Levi Boxell
Levi Boxell is a scholar working on Communication, Political Science and International Relations, Sociology and Political Science, Modeling and Simulation and Economics and Econometrics, having authored 9 papers that have together received 955 indexed citations. Recurring topics across this work include Social Media and Politics (4 papers), Media Influence and Politics (4 papers), Electoral Systems and Political Participation (3 papers), Historical Economic and Social Studies (1 paper), COVID-19 epidemiological studies (1 paper), Global Financial Crisis and Policies (1 paper), Populism, Right-Wing Movements (1 paper) and Colonialism, slavery, and trade (1 paper). The work is most often cited by research in Modeling and Simulation (199 citations), Communication (229 citations), Health (114 citations), Sociology and Political Science (491 citations) and Economics and Econometrics (218 citations). Levi Boxell has collaborated with scholars based in United States and Philippines. Frequent co-authors include Matthew Aaron Gentzkow, Jacob Conway, Hunt Allcott, Michael Thaler, David Y. Yang, Jesse M. Shapiro, ZACHARY STEINERT-THRELKELD and James N. Druckman. Their work appears in journals such as Quarterly Journal of Political Science, Economics Letters, World Development, Proceedings of the National Academy of Sciences and Journal of Public Economics.
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.