Jennifer Larson

116 total papers · 944 total citations
22 papers, 392 citations indexed

About

Jennifer Larson is a scholar working on Sociology and Political Science, Safety Research and Statistical and Nonlinear Physics. According to data from OpenAlex, Jennifer Larson has authored 22 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Sociology and Political Science, 8 papers in Safety Research and 6 papers in Statistical and Nonlinear Physics. Recurrent topics in Jennifer Larson's work include Experimental Behavioral Economics Studies (8 papers), Social Capital and Networks (7 papers) and Electoral Systems and Political Participation (5 papers). Jennifer Larson is often cited by papers focused on Experimental Behavioral Economics Studies (8 papers), Social Capital and Networks (7 papers) and Electoral Systems and Political Participation (5 papers). Jennifer Larson collaborates with scholars based in United States, Russia and Germany. Jennifer Larson's co-authors include Janet I. Lewis, Jonathan Nagler, Jonathan Ronen, James Bisbee, Joshua A. Tucker, Megan A. Rech, Kevin Munger, Joshua D. Clinton, Cassy Dorff and Michael J. Mosier and has published in prestigious journals such as American Political Science Review, American Journal of Political Science and Journal of Theoretical Biology.

In The Last Decade

Jennifer Larson

21 papers receiving 366 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Jennifer Larson	261	100	93	65	49	22	392
Patrick Rafail	212 0.8×	78 0.8×	76 0.8×	15 0.2×	22 0.4×	26	393
Johannes Kaiser	233 0.9×	134 1.3×	32 0.3×	25 0.4×	31 0.6×	21	400
Thomas Spielhofer	281 1.1×	201 2.0×	33 0.4×	18 0.3×	13 0.3×	23	444
Bryn Rosenfeld	241 0.9×	33 0.3×	168 1.8×	12 0.2×	16 0.3×	16	382
Airo Hino	206 0.8×	73 0.7×	203 2.2×	10 0.2×	7 0.1×	30	445
Jan Zilinsky	244 0.9×	172 1.7×	83 0.9×	46 0.7×	8 0.2×	17	365
Patrick Ball	256 1.0×	21 0.2×	96 1.0×	14 0.2×	7 0.1×	23	426
Lukas F. Stoetzer	222 0.9×	42 0.4×	180 1.9×	6 0.1×	10 0.2×	35	445
Cassy Dorff	247 0.9×	14 0.1×	90 1.0×	19 0.3×	10 0.2×	21	343
Michael J. Ensley	168 0.6×	99 1.0×	242 2.6×	13 0.2×	9 0.2×	23	415

Countries citing papers authored by Jennifer Larson

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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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