Matthew Tyler
Impact in
- Communication top 10%
- Social Media and Politics
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- Electoral Systems and Political Participation
- Populism, Right-Wing Movements
Papers in
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- Electoral Systems and Political Participation 7
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- Media Influence and Politics 2
- Youth Education and Societal Dynamics 1
- Misinformation and Its Impacts 1
- Co-authors
- Shanto Iyengar (3 shared papers)Justin Grimmer (3 shared papers)Clayton Nall (1 shared paper)Sean Westwood (1 shared paper)Christian Fong (1 shared paper)Lina A. Ricciardelli (2 shared papers)Marita P. McCabe (2 shared papers)David Mellor (2 shared papers)
- Journals
- American Political Science Review (2 papers)Political Analysis (2 papers)Qualitative Health Research (1 paper)Election Law Journal Rules Politics and Policy (1 paper)Mathematical Biosciences (1 paper)
- Partner nations
- United StatesAustraliaGermany
In The Last Decade
Matthew Tyler
9 papers receiving 215 citations
Matthew Tyler's Hit Papers
Peers
Comparison fields: 5 of 50
- Communication 65
- Political Science and International Relations 82
- Sociology and Political Science 125
- General Social Sciences 9
- Health 18
Countries citing papers authored by Matthew Tyler
This map shows the geographic impact of Matthew Tyler'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 Matthew Tyler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Tyler more than expected).
Fields of papers citing papers by Matthew Tyler
This network shows the impact of papers produced by Matthew Tyler. 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 Matthew Tyler. The network helps show where Matthew Tyler may publish in the future.
Co-authors
The 13 scholars most cited alongside Matthew Tyler, 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 | Current research overstates American support for political violence Hit paper breakdown → | 2022 | 93 |
| 2 | 2022 | 39 | |
| 3 | 2021 | 30 | |
| 4 | 2020 | 27 | |
| 5 | 2015 | 15 | |
| 6 | 2023 | 10 | |
| 7 | 2012 | 8 | |
| 8 | 2024 | 2 | |
| 9 | 2021 | 1 | |
| 10 | 2025 | 0 |
About Matthew Tyler
Matthew Tyler is a scholar working on Political Science and International Relations, Sociology and Political Science, Communication, Molecular Biology and General Health Professions, having authored 10 papers that have together received 225 indexed citations. Recurring topics across this work include Electoral Systems and Political Participation (7 papers), Social Media and Politics (3 papers), Media Influence and Politics (2 papers), Fiscal Policies and Political Economy (1 paper), Computational and Text Analysis Methods (1 paper), Youth Education and Societal Dynamics (1 paper), Misinformation and Its Impacts (1 paper) and Fiscal Policy and Economic Growth (1 paper). The work is most often cited by research in Communication (65 citations), Political Science and International Relations (82 citations), Sociology and Political Science (125 citations), General Social Sciences (9 citations) and Health (18 citations). Matthew Tyler has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Shanto Iyengar, Justin Grimmer, Clayton Nall, Sean Westwood, Christian Fong, Lina A. Ricciardelli, Marita P. McCabe, David Mellor, Michael C. Herron and Alexander J. Mussap. Their work appears in journals such as American Political Science Review, Political Analysis, Qualitative Health Research, Election Law Journal Rules Politics and Policy and Mathematical Biosciences.
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.