Jennifer Larson
- Sociology and Political Science top 5%
- Communication top 5%
- Political Science and International Relations top 10%
- Statistical and Nonlinear Physics top 10%
- Safety Research top 10%
- Co-authors
- Janet I. LewisJonathan NaglerJoshua A. TuckerJames BisbeeJonathan RonenKevin MungerMegan A. RechJoshua D. Clinton
- Topics
- Experimental Behavioral Economics Studies (8 papers)Social Capital and Networks (7 papers)Electoral Systems and Political Participation (5 papers)
- Journals
- American Political Science ReviewAmerican Journal of Political ScienceJournal of Theoretical Biology
- Partner nations
- United StatesRussiaGermany
In The Last Decade
Jennifer Larson
21 papers receiving 374 citations
Peers
Comparison fields: 5 of 76
- Sociology and Political Science 262
- Communication 102
- Political Science and International Relations 95
- Statistical and Nonlinear Physics 67
- Safety Research 50
Countries citing papers authored by Jennifer Larson
This map shows the geographic impact of Jennifer Larson'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 Jennifer Larson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer Larson more than expected).
Fields of papers citing papers by Jennifer Larson
This network shows the impact of papers produced by Jennifer Larson. 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 Jennifer Larson. The network helps show where Jennifer Larson may publish in the future.
Co-authorship network of co-authors of Jennifer Larson
This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer Larson. A scholar is included among the top collaborators of Jennifer Larson 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 Jennifer Larson. Jennifer Larson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 27 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 8 | |
| 5 | 19 | |
| 6 | 18 | |
| 7 | 6 | |
| 8 | 11 | |
| 9 | 62 | |
| 10 | 20 | |
| 11 | 27 | |
| 12 | 21 | |
| 13 | 6 | |
| 14 | 12 | |
| 15 | 4 | |
| 16 | 62 | |
| 17 | 2 | |
| 18 | 24 | |
| 19 | 1 | |
| 20 | 6 |
About Jennifer Larson
Jennifer Larson is a scholar working on Safety Research, Communication and Statistical and Nonlinear Physics, having authored 22 papers that have together received 401 indexed citations. Recurring topics across this work include Experimental Behavioral Economics Studies (8 papers), Social Capital and Networks (7 papers) and Electoral Systems and Political Participation (5 papers). The work is most often cited by research in Communication (102 citations), Sociology and Political Science (262 citations) and Safety Research (50 citations). Jennifer Larson has collaborated with scholars based in United States, Russia and Germany. Frequent co-authors include Janet I. Lewis, Jonathan Nagler, Joshua A. Tucker, James Bisbee, Jonathan Ronen, Kevin Munger, Megan A. Rech, Joshua D. Clinton, Cassy Dorff and Michael J. Mosier. Their work appears in journals such as American Political Science Review, American Journal of Political Science and Journal of Theoretical Biology.
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.