Matthew Tyler

503 total citations · 1 hit paper
10 papers, 198 citations indexed

About

Matthew Tyler is a scholar working on Political Science and International Relations, Sociology and Political Science and Communication. According to data from OpenAlex, Matthew Tyler has authored 10 papers receiving a total of 198 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Political Science and International Relations, 7 papers in Sociology and Political Science and 3 papers in Communication. Recurrent topics in Matthew Tyler's work include Electoral Systems and Political Participation (7 papers), Social Media and Politics (3 papers) and Media Influence and Politics (2 papers). Matthew Tyler is often cited by papers focused on Electoral Systems and Political Participation (7 papers), Social Media and Politics (3 papers) and Media Influence and Politics (2 papers). Matthew Tyler collaborates with scholars based in United States, Australia and Germany. Matthew Tyler's co-authors include Justin Grimmer, Shanto Iyengar, Clayton Nall, Sean Westwood, Christian Fong, Lina A. Ricciardelli, David Mellor, Marita P. McCabe, Alexander J. Mussap and David John Hallford and has published in prestigious journals such as Proceedings of the National Academy of Sciences, American Political Science Review and BMC Public Health.

In The Last Decade

Matthew Tyler

9 papers receiving 191 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Current research overstates American support for political violence

2022 80 citations Sean Westwood, Justin Grimmer et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Matthew Tyler United States	7	118	74	62	23	22	10	198
Marko Bachl Germany	9	134 1.1×	47 0.6×	137 2.2×	30 1.3×	19 0.9×	34	263
Lars Erik Berntzen Norway	7	144 1.2×	91 1.2×	45 0.7×	24 1.0×	10 0.5×	8	215
Francis O’Connor Germany	10	197 1.7×	144 1.9×	19 0.3×	11 0.5×	16 0.7×	23	310
Mario Peucker Australia	9	167 1.4×	47 0.6×	33 0.5×	12 0.5×	10 0.5×	33	195
Yordan Kutiyski Netherlands	6	200 1.7×	105 1.4×	41 0.7×	43 1.9×	45 2.0×	12	271
Jeremy Pressman United States	7	175 1.5×	81 1.1×	25 0.4×	9 0.4×	5 0.2×	30	229
Bo Yun Park United States	3	130 1.1×	87 1.2×	22 0.4×	8 0.3×	4 0.2×	4	199
Jared S. Rosenberger United States	7	222 1.9×	144 1.9×	21 0.3×	11 0.5×	52 2.4×	11	269
Sarah Niebler United States	7	105 0.9×	112 1.5×	60 1.0×	5 0.2×	21 1.0×	15	214
Lutz M. Hagen Germany	7	71 0.6×	32 0.4×	93 1.5×	10 0.4×	4 0.2×	18	164

Countries citing papers authored by Matthew Tyler

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Matthew Tyler

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Tyler. A scholar is included among the top collaborators of Matthew Tyler 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 Matthew Tyler. Matthew Tyler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Tyler, Matthew, et al.. (2025). GMFOLD: Subgraph matching for high-throughput DNA-aptamer secondary structure classification and machine learning interpretability. Mathematical Biosciences. 387. 109485–109485.

2.

Grimmer, Justin, Michael C. Herron, & Matthew Tyler. (2024). Evaluating a New Generation of Expansive Claims about Vote Manipulation. Election Law Journal Rules Politics and Policy. 23(3). 211–236. 2 indexed citations

3.

Tyler, Matthew & Shanto Iyengar. (2023). Testing the Robustness of the ANES Feeling Thermometer Indicators of Affective Polarization. American Political Science Review. 118(3). 1570–1576. 6 indexed citations

4.

Tyler, Matthew & Shanto Iyengar. (2022). Learning to Dislike Your Opponents: Political Socialization in the Era of Polarization. American Political Science Review. 117(1). 347–354. 32 indexed citations

5.

Westwood, Sean, Justin Grimmer, Matthew Tyler, & Clayton Nall. (2022). Current research overstates American support for political violence. Proceedings of the National Academy of Sciences. 119(12). e2116870119–e2116870119. 80 indexed citations breakdown →

6.

Tyler, Matthew, et al.. (2021). The Structure of Political Choices: Distinguishing Between Constraint and Multidimensionality. Political Analysis. 30(3). 328–345. 1 indexed citations

7.

Tyler, Matthew, Justin Grimmer, & Shanto Iyengar. (2021). Partisan Enclaves and Information Bazaars: Mapping Selective Exposure to Online News. The Journal of Politics. 84(2). 1057–1073. 28 indexed citations

8.

Fong, Christian & Matthew Tyler. (2020). Machine Learning Predictions as Regression Covariates. Political Analysis. 29(4). 467–484. 26 indexed citations

9.

Mellor, David, et al.. (2015). Toward an Understanding of the Poor Health Status of Indigenous Australian Men. Qualitative Health Research. 26(14). 1949–1960. 15 indexed citations

10.

Ricciardelli, Lina A., David Mellor, Marita P. McCabe, et al.. (2012). Promoting fit bodies, healthy eating and physical activity among Indigenous Australian men: a study protocol. BMC Public Health. 12(1). 28–28. 8 indexed citations

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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