Matthew Blackwell

6.3k total citations · 4 hit papers
27 papers, 4.1k citations indexed

About

Matthew Blackwell is a scholar working on Statistics and Probability, Sociology and Political Science and Political Science and International Relations. According to data from OpenAlex, Matthew Blackwell has authored 27 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Statistics and Probability, 9 papers in Sociology and Political Science and 6 papers in Political Science and International Relations. Recurrent topics in Matthew Blackwell's work include Advanced Causal Inference Techniques (16 papers), Statistical Methods and Inference (10 papers) and Statistical Methods and Bayesian Inference (7 papers). Matthew Blackwell is often cited by papers focused on Advanced Causal Inference Techniques (16 papers), Statistical Methods and Inference (10 papers) and Statistical Methods and Bayesian Inference (7 papers). Matthew Blackwell collaborates with scholars based in United States, Netherlands and Italy. Matthew Blackwell's co-authors include Gary King, James Honaker, Giuseppe Porro, Stefano M. Iacus, Avidit Acharya, Maya Sen, Adam Glynn, Anton Strezhnev, Jacob Brown and Darcy M. Bullock and has published in prestigious journals such as Journal of the American Statistical Association, American Political Science Review and American Journal of Political Science.

In The Last Decade

Matthew Blackwell

25 papers receiving 3.9k citations

Hit Papers

AmeliaII: A Program for Missing Data 2009 2026 2014 2020 2011 2009 2016 2016 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew Blackwell United States 15 1.2k 790 633 370 334 27 4.1k
Daniel E. Ho United States 23 1.2k 1.0× 1.4k 1.8× 775 1.2× 755 2.0× 532 1.6× 108 8.1k
Stephen L. Morgan United States 18 1.5k 1.2× 631 0.8× 442 0.7× 646 1.7× 400 1.2× 39 3.7k
Yiqing Xu United States 20 1.3k 1.1× 945 1.2× 1.2k 1.9× 194 0.5× 221 0.7× 58 3.6k
James A. Calvin United States 19 1.8k 1.5× 853 1.1× 737 1.2× 426 1.2× 558 1.7× 38 5.6k
Giuseppe Porro Italy 13 1.4k 1.1× 1.7k 2.1× 536 0.8× 366 1.0× 558 1.7× 36 5.5k
Tim Futing Liao United States 22 1.2k 1.0× 478 0.6× 322 0.5× 141 0.4× 483 1.4× 79 3.7k
Sebastián Calónico United States 12 882 0.7× 1.5k 1.9× 768 1.2× 477 1.3× 439 1.3× 31 3.9k
Alexis Diamond United States 11 1.4k 1.1× 2.8k 3.5× 715 1.1× 586 1.6× 632 1.9× 16 6.0k
Stefano M. Iacus Italy 24 1.6k 1.3× 2.0k 2.5× 598 0.9× 568 1.5× 578 1.7× 105 7.1k
Teppei Yamamoto United States 19 2.6k 2.1× 1.1k 1.4× 1.7k 2.7× 524 1.4× 388 1.2× 40 7.2k

Countries citing papers authored by Matthew Blackwell

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Blackwell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Blackwell

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Blackwell. A scholar is included among the top collaborators of Matthew Blackwell 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 Blackwell. Matthew Blackwell 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.
Blackwell, Matthew, et al.. (2025). Priming Bias Versus Post-Treatment Bias in Experimental Designs. Political Analysis. 33(4). 361–377.
2.
Blackwell, Matthew, et al.. (2025). Estimating controlled direct effects with panel data: an application to reducing support for discriminatory policies. Journal of the Royal Statistical Society Series A (Statistics in Society).
3.
Blackwell, Matthew, et al.. (2021). Noncompliance and Instrumental Variables for 2 K Factorial Experiments. Journal of the American Statistical Association. 118(542). 1102–1114. 2 indexed citations
4.
Blackwell, Matthew, et al.. (2021). Reducing Model Misspecification and Bias in the Estimation of Interactions. Political Analysis. 30(4). 495–514. 40 indexed citations
5.
Blackwell, Matthew & Anton Strezhnev. (2021). Telescope Matching for Reducing Model Dependence in the Estimation of the Effects of Time-Varying Treatments: An Application to Negative Advertising. Journal of the Royal Statistical Society Series A (Statistics in Society). 185(1). 377–399. 3 indexed citations
6.
Mathew, Jijo K., Howell Li, Matthew Blackwell, & Darcy M. Bullock. (2020). Hard-braking event dataset for I-35, TX. 1 indexed citations
7.
Acharya, Avidit, Matthew Blackwell, & Maya Sen. (2018). Explaining Preferences from Behavior: A Cognitive Dissonance Approach. The Journal of Politics. 80(2). 400–411. 65 indexed citations
8.
Acharya, Avidit, Matthew Blackwell, & Maya Sen. (2018). Deep Roots: How Slavery Still Shapes Southern Politics. 30 indexed citations
9.
Blackwell, Matthew & Adam Glynn. (2018). How to Make Causal Inferences with Time-Series Cross-Sectional Data under Selection on Observables. American Political Science Review. 112(4). 1067–1082. 69 indexed citations
10.
Acharya, Avidit, Matthew Blackwell, & Maya Sen. (2018). Analyzing Causal Mechanisms in Survey Experiments. Political Analysis. 26(4). 357–378. 53 indexed citations
11.
Blackwell, Matthew. (2018). Game Changers: Detecting Shifts in Overdispersed Count Data. Political Analysis. 26(2). 230–239. 9 indexed citations
12.
Blackwell, Matthew. (2016). Instrumental Variable Methods for Conditional Effects and Causal Interaction in Voter Mobilization Experiments. Journal of the American Statistical Association. 112(518). 590–599. 7 indexed citations
13.
Acharya, Avidit, Matthew Blackwell, & Maya Sen. (2016). Explaining Causal Findings Without Bias: Detecting and Assessing Direct Effects. American Political Science Review. 110(3). 512–529. 344 indexed citations breakdown →
14.
Acharya, Avidit, Matthew Blackwell, & Maya Sen. (2015). Explaining Attitudes from Behavior: A Cognitive Dissonance Approach. RePEc: Research Papers in Economics. 4 indexed citations
15.
Blackwell, Matthew, et al.. (2015). A Unified Approach to Measurement Error and Missing Data: Details and Extensions. Sociological Methods & Research. 46(3). 342–369. 36 indexed citations
16.
Blackwell, Matthew. (2013). A Selection Bias Approach to Sensitivity Analysis for Causal Effects. Political Analysis. 22(2). 169–182. 40 indexed citations
17.
Blackwell, Matthew. (2012). A Framework for Dynamic Causal Inference in Political Science. American Journal of Political Science. 57(2). 504–520. 77 indexed citations
18.
Honaker, James, Gary King, & Matthew Blackwell. (2011). AmeliaII: A Program for Missing Data. Journal of Statistical Software. 45(7). 1678 indexed citations breakdown →
19.
Blackwell, Matthew, James Honaker, & Gary King. (2010). Multiple Overimputation: A Unified Approach to Measurement Error and Missing Data. 18 indexed citations
20.
Blackwell, Matthew, Stefano M. Iacus, Gary King, & Giuseppe Porro. (2009). Cem: Coarsened Exact Matching in Stata. The Stata Journal Promoting communications on statistics and Stata. 9(4). 524–546. 1264 indexed citations breakdown →

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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