Tim Groseclose

4.7k citations
32 papers · 3.2k · 2 hit papers · h-index 18

Impact in

Papers in

Tim Groseclose

28 papers receiving 3.0k citations

Tim Groseclose's Hit Papers

A Measure of Media Bias 2005 · 669 citations
6690+8+16Years since publication200400600

Peers

Tim Groseclose
Comparison fields: 5 of 93
  • Political Science and International Relations 2.0k
  • Communication 460
  • Strategy and Management 953
  • Economics and Econometrics 1.2k
  • General Decision Sciences 68
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Citations per field
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Citations per year

Countries citing papers authored by Tim Groseclose

Since Specialization
Citations

This map shows the geographic impact of Tim Groseclose'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 Tim Groseclose with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Groseclose more than expected).

Fields of papers citing papers by Tim Groseclose

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tim Groseclose. 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 Tim Groseclose. The network helps show where Tim Groseclose may publish in the future.

Co-authors

The 13 scholars most cited alongside Tim Groseclose, 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 Tim Groseclose Line = papers co-authored together Tim Groseclose links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Measure of Media Bias
Hit paper breakdown →
2005669
2
A Model of Candidate Location When One Candidate Has a Valence Advantage
Hit paper breakdown →
2001514
3 2000361
4 1996313
5 2002284
6 1999255
7 2001231
8 2000103
9 199884
10 199470
11 200661
12 200052
13 199644
14 200140
15 199936
16 201032
17 200626
18 199417
19 200314
20 200513

About Tim Groseclose

Tim Groseclose is a scholar working on Economics and Econometrics, Political Science and International Relations, Strategy and Management, Sociology and Political Science and Marketing, having authored 32 papers that have together received 3.2k indexed citations. Recurring topics across this work include Electoral Systems and Political Participation (18 papers), Game Theory and Voting Systems (11 papers), Fiscal Policy and Economic Growth (8 papers), Fiscal Policies and Political Economy (7 papers), Political Influence and Corporate Strategies (5 papers), Media Influence and Politics (4 papers), Experimental Behavioral Economics Studies (3 papers) and Law, Economics, and Judicial Systems (3 papers). The work is most often cited by research in Political Science and International Relations (2.0k citations), Communication (460 citations), Strategy and Management (953 citations), Economics and Econometrics (1.2k citations) and General Decision Sciences (68 citations). Tim Groseclose has collaborated with scholars based in United States, Belgium and United Kingdom. Frequent co-authors include James M. Snyder, Jeffrey Milyo, Steven D. Levitt, Nolan McCarty, P.-A. Chiappori, Charles Stewart, Christophe Crombez, Keith Krehbiel, Gregory A. Caldeira and Barry C. Burden. Their work appears in journals such as American Political Science Review, American Journal of Political Science, The Journal of Politics, Public Choice and Social Choice and Welfare.

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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