Bruce Desmarais

2.9k total citations · 1 hit paper
64 papers, 1.8k citations indexed

About

Bruce Desmarais is a scholar working on Political Science and International Relations, Sociology and Political Science and Statistical and Nonlinear Physics. According to data from OpenAlex, Bruce Desmarais has authored 64 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Political Science and International Relations, 21 papers in Sociology and Political Science and 17 papers in Statistical and Nonlinear Physics. Recurrent topics in Bruce Desmarais's work include Electoral Systems and Political Participation (21 papers), Complex Network Analysis Techniques (13 papers) and Policy Transfer and Learning (12 papers). Bruce Desmarais is often cited by papers focused on Electoral Systems and Political Participation (21 papers), Complex Network Analysis Techniques (13 papers) and Policy Transfer and Learning (12 papers). Bruce Desmarais collaborates with scholars based in United States, United Kingdom and Canada. Bruce Desmarais's co-authors include Skyler Cranmer, Jeffrey J. Harden, Philip Leifeld, Frederick J. Boehmke, Fridolin Linder, Justin H. Kirkland, Tobias Heinrich, John Hird, Raymond J. La Raja and Hanna Wallach and has published in prestigious journals such as PLoS ONE, NeuroImage and Scientific Reports.

In The Last Decade

Bruce Desmarais

55 papers receiving 1.7k citations

Hit Papers

Inferential Network Analy... 2010 2026 2015 2020 2010 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bruce Desmarais United States 21 700 581 386 325 298 64 1.8k
Skyler Cranmer United States 18 575 0.8× 821 1.4× 458 1.2× 231 0.7× 324 1.1× 52 1.9k
Philip Leifeld United Kingdom 21 875 1.3× 752 1.3× 200 0.5× 387 1.2× 209 0.7× 52 2.1k
Frans N. Stokman Netherlands 20 475 0.7× 549 0.9× 274 0.7× 363 1.1× 179 0.6× 90 1.5k
Jörg Raab Netherlands 19 270 0.4× 789 1.4× 150 0.4× 282 0.9× 99 0.3× 60 1.6k
Michael Timberlake United States 20 678 1.0× 905 1.6× 77 0.2× 380 1.2× 704 2.4× 36 2.4k
Kevin Esterling United States 18 808 1.2× 673 1.2× 91 0.2× 329 1.0× 145 0.5× 66 1.9k
Miguel Ángel Centeno United States 22 1.0k 1.4× 1.2k 2.1× 59 0.2× 140 0.4× 388 1.3× 63 2.5k
Johan Koskinen United Kingdom 20 119 0.2× 786 1.4× 641 1.7× 160 0.5× 202 0.7× 62 1.9k
Michael T. Heaney United States 22 562 0.8× 620 1.1× 75 0.2× 358 1.1× 87 0.3× 69 1.4k
Paul J. Quirk United States 18 1.4k 2.0× 1.3k 2.3× 75 0.2× 477 1.5× 388 1.3× 48 2.7k

Countries citing papers authored by Bruce Desmarais

Since Specialization
Citations

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

Fields of papers citing papers by Bruce Desmarais

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bruce Desmarais

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

All Works

20 of 20 papers shown
1.
Desmarais, Bruce, et al.. (2025). Collaborative diffusion: The dynamics of policy output in COVID ‐19 interstate compacts. Policy Studies Journal. 53(4). 944–970.
2.
Baker, Wayne E., et al.. (2025). Networks of inclusion: Using teams and technology to create diverse social capital. Social Networks. 83. 120–133.
3.
Boehmke, Frederick J., et al.. (2024). The national network of US state legislators on Twitter. Political Science Research and Methods. 13(4). 1042–1054.
4.
Boehmke, Frederick J., et al.. (2023). SPRC19: A Database of State Policy Responses to COVID-19 in the United States. Scientific Data. 10(1). 526–526.
5.
Desmarais, Bruce, et al.. (2023). Contagion, Confounding, and Causality: Confronting the Three C’s of Observational Political Networks Research. Political Analysis. 31(3). 472–479. 1 indexed citations
6.
Desmarais, Bruce, et al.. (2022). Spatial modeling of dyadic geopolitical interactions between moving actors. Political Science Research and Methods. 11(3). 633–644. 2 indexed citations
7.
Desmarais, Bruce, et al.. (2021). Attention to the COVID‐19 Pandemic on Twitter: Partisan Differences Among U.S. State Legislators. Legislative Studies Quarterly. 47(4). 1023–1041. 8 indexed citations
8.
Zhu, Boliang, et al.. (2020). Complex dependence in foreign direct investment: network theory and empirical analysis. Political Science Research and Methods. 10(2). 243–259. 21 indexed citations
9.
Liu, Xi, Clio Andris, & Bruce Desmarais. (2019). Migration and political polarization in the U.S.: An analysis of the county-level migration network. PLoS ONE. 14(11). e0225405–e0225405. 22 indexed citations
10.
Stillman, Paul E., James Wilson, Matthew J. Denny, et al.. (2019). A consistent organizational structure across multiple functional subnetworks of the human brain. NeuroImage. 197. 24–36. 4 indexed citations
11.
Boehmke, Frederick J., et al.. (2019). SPID: A New Database for Inferring Public Policy Innovativeness and Diffusion Networks. Policy Studies Journal. 48(2). 517–545. 44 indexed citations
12.
Linder, Fridolin, et al.. (2018). Text as Policy: Measuring Policy Similarity through Bill Text Reuse. Policy Studies Journal. 48(2). 546–574. 44 indexed citations
13.
Stillman, Paul E., James Wilson, Matthew J. Denny, et al.. (2017). Statistical Modeling of the Default Mode Brain Network Reveals a Segregated Highway Structure. Scientific Reports. 7(1). 11694–11694. 12 indexed citations
14.
Boehmke, Frederick J., et al.. (2016). The Seeds of Policy Change: Leveraging Diffusion to Disseminate Policy Innovations. Journal of Health Politics Policy and Law. 42(2). 285–307. 10 indexed citations
15.
Wilson, James, et al.. (2016). Stochastic Weighted Graphs: Flexible Model Specification and Simulation. SSRN Electronic Journal. 4 indexed citations
16.
Desmarais, Bruce & Jeffrey J. Harden. (2013). An unbiased model comparison test using cross-validation. Quality & Quantity. 48(4). 2155–2173. 2 indexed citations
17.
Krafft, P. M., et al.. (2012). Topic-Partitioned Multinetwork Embeddings. ScholarWorks@UMassAmherst (University of Massachusetts Amherst). 25. 2807–2815. 6 indexed citations
18.
Desmarais, Bruce & Skyler Cranmer. (2012). Micro‐Level Interpretation of Exponential Random Graph Models with Application to Estuary Networks. Policy Studies Journal. 40(3). 402–434. 82 indexed citations
19.
Cranmer, Skyler & Bruce Desmarais. (2010). Inferential Network Analysis with Exponential Random Graph Models. Political Analysis. 19(1). 66–86. 315 indexed citations breakdown →
20.
Benz, Jennifer, Thomas M. Carsey, & Bruce Desmarais. (2009). How Partisan Frames Affect Public Consideration of Policy Problems. SSRN Electronic Journal.

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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