Levi Boxell

20 papers receiving 1.0k citations

Levi Boxell's Hit Papers

Polarization and public health: Partisan differences in social distancing during the coronavirus pandemic 2020 · 684 citations
6840+3+6Years since publication200400600

Peers

Levi Boxell
Comparison fields: 5 of 86
  • Modeling and Simulation 232
  • Communication 248
  • Health 123
  • Sociology and Political Science 550
  • Economics and Econometrics 269
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Jacob Conway United States
Eric Merkley Canada
Sylvain Brouard France
Dominik Stecuła United States
Valentina Rotondi Italy
Damien Bol United Kingdom
Seth J. Hill United States
Ridhi Kashyap United Kingdom
Jakob‐Moritz Eberl Austria
Ulrich Krieger Germany
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Countries citing papers authored by Levi Boxell

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Levi Boxell Line = papers co-authored together Levi Boxell links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Polarization and public health: Partisan differences in social distancing during the coronavirus pandemic
Hit paper breakdown →
2020684
2
Greater Internet use is not associated with faster growth in political polarization among US demographic groups
Hit paper breakdown →
2017246
3 202037
4 202024
5 202214
6 202012
7 201811
8 20157
9 20196
10 20215
11 20224
12 20194
13
Slanted images: Measuring nonverbal media bias
20183
14 20213
15 20242
16 20222
17
What Explains Temporal and Geographic Variation in the Early US Coronavirus Pandemic
20201
18
A Drought-Induced African Slave Trade?
20161
19 20171
20 20181

About Levi Boxell

Levi Boxell is a scholar working on Sociology and Political Science, Communication, Political Science and International Relations, Anthropology and Economics and Econometrics, having authored 20 papers that have together received 1.1k indexed citations. Recurring topics across this work include Media Influence and Politics (8 papers), Electoral Systems and Political Participation (7 papers), Social Media and Politics (6 papers), Colonialism, slavery, and trade (4 papers), Culture, Economy, and Development Studies (4 papers), COVID-19 epidemiological studies (3 papers), COVID-19 Pandemic Impacts (3 papers) and Agricultural risk and resilience (2 papers). The work is most often cited by research in Modeling and Simulation (232 citations), Communication (248 citations), Health (123 citations), Sociology and Political Science (550 citations) and Economics and Econometrics (269 citations). Levi Boxell has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Matthew Gentzkow, Jacob Conway, Hunt Allcott, David Y. Yang, Michael Thaler, Jesse M. Shapiro, ZACHARY STEINERT-THRELKELD and James Druckman. Their work appears in journals such as Review of Economic Design, Journal of Comparative Economics, Quarterly Journal of Political Science, World Development and PLoS ONE.

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.

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