Daniel R. Biggers
Impact in
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- Electoral Systems and Political Participation
- Communication top 5%
- Social Media and Politics
Papers in
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- Social Media and Politics 7
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- Electoral Systems and Political Participation 21
- Co-authors
- Michael J. HanmerAlan S. GerberDavid J. HendryGregory A. HuberMarc MeredithShaun BowlerDaniel A. SmithKevin Arceneaux
- Journals
- Political Behavior (5 papers)American Politics Research (3 papers)British Journal of Political Science (2 papers)Electoral Studies (2 papers)Journal of Experimental Political Science (2 papers)
- Partner nations
- United StatesUnited KingdomDenmark
In The Last Decade
Daniel R. Biggers
23 papers receiving 397 citations
Peers
Comparison fields: 5 of 48
- Political Science and International Relations 318
- Communication 89
- Gender Studies 54
- Law 54
- Sociology and Political Science 223
Countries citing papers authored by Daniel R. Biggers
This map shows the geographic impact of Daniel R. Biggers'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 Daniel R. Biggers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel R. Biggers more than expected).
Fields of papers citing papers by Daniel R. Biggers
This network shows the impact of papers produced by Daniel R. Biggers. 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 Daniel R. Biggers. The network helps show where Daniel R. Biggers may publish in the future.
Co-authors
The 14 scholars most cited alongside Daniel R. Biggers, 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 | 2023 | 4 | |
| 2 | 2022 | 4 | |
| 3 | 2022 | 3 | |
| 4 | 2021 | 11 | |
| 5 | 2019 | 7 | |
| 6 | 2018 | 12 | |
| 7 | 2018 | 26 | |
| 8 | 2017 | 45 | |
| 9 | 2017 | 1 | |
| 10 | 2017 | 60 | |
| 11 | 2016 | 19 | |
| 12 | 2016 | 13 | |
| 13 | Why Don't People Vote in Primaries? Assessing Theoretical Explanations for Reduced Participation in Primary Elections | 2015 | 2 |
| 14 | 2015 | 54 | |
| 15 | 2014 | 33 | |
| 16 | 2014 | 8 | |
| 17 | 2014 | 9 | |
| 18 | 2014 | 7 | |
| 19 | 2014 | 23 | |
| 20 | 2012 | 9 |
About Daniel R. Biggers
Daniel R. Biggers is a scholar working on Communication, Political Science and International Relations, Strategy and Management, Law and Sociology and Political Science, having authored 23 papers that have together received 430 indexed citations. Recurring topics across this work include Electoral Systems and Political Participation (21 papers), Social Media and Politics (7 papers), Political Influence and Corporate Strategies (7 papers), Judicial and Constitutional Studies (4 papers), Crime Patterns and Interventions (4 papers), Social and Intergroup Psychology (4 papers), Media Influence and Politics (3 papers) and Criminal Justice and Corrections Analysis (3 papers). The work is most often cited by research in Political Science and International Relations (318 citations), Communication (89 citations), Gender Studies (54 citations), Law (54 citations) and Sociology and Political Science (223 citations). Daniel R. Biggers has collaborated with scholars based in United States, United Kingdom and Denmark. Frequent co-authors include Michael J. Hanmer, Alan S. Gerber, David J. Hendry, Gregory A. Huber, Marc Meredith, Shaun Bowler, Daniel A. Smith, Kevin Arceneaux, Cheryl Boudreau and Conor M. Dowling. Their work appears in journals such as Political Behavior, American Politics Research, British Journal of Political Science, Electoral Studies and Journal of Experimental Political Science.
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.