Kosuke Imai

36.0k total citations · 12 hit papers
146 papers, 20.4k citations indexed

About

Kosuke Imai is a scholar working on Statistics and Probability, Sociology and Political Science and Political Science and International Relations. According to data from OpenAlex, Kosuke Imai has authored 146 papers receiving a total of 20.4k indexed citations (citations by other indexed papers that have themselves been cited), including 92 papers in Statistics and Probability, 40 papers in Sociology and Political Science and 28 papers in Political Science and International Relations. Recurrent topics in Kosuke Imai's work include Advanced Causal Inference Techniques (62 papers), Statistical Methods and Inference (40 papers) and Statistical Methods and Bayesian Inference (34 papers). Kosuke Imai is often cited by papers focused on Advanced Causal Inference Techniques (62 papers), Statistical Methods and Inference (40 papers) and Statistical Methods and Bayesian Inference (34 papers). Kosuke Imai collaborates with scholars based in United States, United Kingdom and Japan. Kosuke Imai's co-authors include Dustin Tingley, Gary King, Luke Keele, Daniel E. Ho, Elizabeth A. Stuart, Teppei Yamamoto, Marc Ratkovic, K. Hirose, David A. van Dyk and Graeme Blair and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and SHILAP Revista de lepidopterología.

In The Last Decade

Kosuke Imai

134 papers receiving 19.4k citations

Hit Papers

Matching as Nonparametric... 2004 2026 2011 2018 2007 2011 2014 2010 2011 1000 2.0k 3.0k
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.

  1. Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference
    2007 3.1k citations Daniel E. Ho, Kosuke Imai et al. profile →
  2. MatchIt: Nonparametric Preprocessing for Parametric Causal Inference
    2011 3.0k citations Daniel E. Ho, Kosuke Imai et al. profile →
  3. mediation:RPackage for Causal Mediation Analysis
    2014 2.6k citations Dustin Tingley, Teppei Yamamoto et al. profile →
  4. A general approach to causal mediation analysis.
    2010 2.5k citations Kosuke Imai, Luke Keele et al. Psychological Methods profile →
  5. Unpacking the Black Box of Causality: Learning about Causal Mechanisms from Experimental and Observational Studies
    2011 1.1k citations Kosuke Imai, Luke Keele et al. American Political Science Review profile →
  6. Covariate Balancing Propensity Score
    2013 770 citations Kosuke Imai et al. profile →
  7. Causal Inference With General Treatment Regimes
    2004 578 citations Kosuke Imai et al. Journal of the American Statistical Association profile →
  8. Statistical Analysis of List Experiments
    2012 389 citations Kosuke Imai et al. profile →
  9. On the Use of Two-Way Fixed Effects Regression Models for Causal Inference with Panel Data
    2020 340 citations Kosuke Imai et al. profile →
  10. When Should We Use Unit Fixed Effects Regression Models for Causal Inference with Longitudinal Data?
    2019 215 citations Kosuke Imai et al. American Journal of Political Science profile →
  11. Matching Methods for Causal Inference with Time‐Series Cross‐Sectional Data
    2021 165 citations Kosuke Imai et al. American Journal of Political Science profile →
  12. Improving Ecological Inference by Predicting Individual Ethnicity from Voter Registration Records
    2016 151 citations Kosuke Imai et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Kosuke Imai 4.9k 3.8k 3.4k 2.9k 1.6k 146 20.4k
Jennifer Hill 2.6k 0.5× 2.2k 0.6× 1.5k 0.4× 1.1k 0.4× 1.8k 1.2× 146 16.7k
Harvey Goldstein 4.1k 0.8× 3.3k 0.9× 3.2k 0.9× 1.4k 0.5× 2.7k 1.7× 368 26.9k
Roger Tourangeau 7.0k 1.4× 1.5k 0.4× 2.4k 0.7× 813 0.3× 1.8k 1.1× 130 15.1k
A. Colin Cameron 5.3k 1.1× 1.8k 0.5× 11.3k 3.3× 1.7k 0.6× 3.0k 1.9× 39 28.4k
Alberto Abadie 4.5k 0.9× 2.6k 0.7× 8.5k 2.5× 1.6k 0.6× 1.7k 1.1× 45 18.4k
Gary King 12.7k 2.6× 2.8k 0.7× 7.3k 2.1× 10.3k 3.5× 2.9k 1.9× 258 39.5k
Paul D. Allison 8.3k 1.7× 1.2k 0.3× 4.3k 1.3× 1.8k 0.6× 3.7k 2.4× 108 27.2k
Luke Keele 3.1k 0.6× 1.1k 0.3× 1.7k 0.5× 2.3k 0.8× 759 0.5× 152 10.9k
Robert M. Groves 8.4k 1.7× 2.2k 0.6× 3.1k 0.9× 759 0.3× 2.7k 1.8× 101 15.0k
Jens Hainmueller 8.7k 1.8× 999 0.3× 5.9k 1.7× 4.9k 1.7× 1.6k 1.0× 118 20.7k

Countries citing papers authored by Kosuke Imai

Since Specialization
Citations

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

Fields of papers citing papers by Kosuke Imai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kosuke Imai

This figure shows the co-authorship network connecting the top 25 collaborators of Kosuke Imai. A scholar is included among the top collaborators of Kosuke Imai 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 Kosuke Imai. Kosuke Imai 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.
Imai, Kosuke, et al.. (2025). Estimating Average Treatment Effects With Support Vector Machines. Statistics in Medicine. 44(5). e70006–e70006.
2.
Fisher, Robin, et al.. (2025). Estimating Racial Disparities When Race is Not Observed. Journal of the American Statistical Association. 120(552). 2140–2153.
3.
Fisher, Robin, et al.. (2024). Estimating Racial Disparities When Race is Not Observed. SSRN Electronic Journal. 1 indexed citations
4.
Kuriwaki, Shiro, et al.. (2024). Evaluating bias and noise induced by the U.S. Census Bureau’s privacy protection methods. Science Advances. 10(18). eadl2524–eadl2524. 6 indexed citations
5.
Brown, Jacob, et al.. (2024). Measuring and Modeling Neighborhoods. American Political Science Review. 118(4). 1966–1985. 1 indexed citations
6.
Imai, Kosuke, et al.. (2024). Rejoinder: We Can Improve the Usability of the Census Noisy Measurements File. SHILAP Revista de lepidopterología. 6(2).
7.
Li, Michael Lingzhi & Kosuke Imai. (2024). Neyman meets causal machine learning: Experimental evaluation of individualized treatment rules. SHILAP Revista de lepidopterología. 12(1).
8.
Imai, Kosuke, et al.. (2023). Keyword‐Assisted Topic Models. American Journal of Political Science. 68(2). 730–750. 51 indexed citations
9.
Kuriwaki, Shiro, et al.. (2023). Widespread partisan gerrymandering mostly cancels nationally, but reduces electoral competition. Proceedings of the National Academy of Sciences. 120(25). e2217322120–e2217322120. 22 indexed citations
10.
Imai, Kosuke, et al.. (2023). Making Differential Privacy Work for Census Data Users. SHILAP Revista de lepidopterología. 5(4). 2 indexed citations
11.
Kenny, Christopher, et al.. (2023). Comment: The Essential Role of Policy Evaluation for the 2020 Census DisclosureAvoidance System. SHILAP Revista de lepidopterología. 4 indexed citations
12.
Garcia, George A., et al.. (2022). Simulated redistricting plans for the analysis and evaluation of redistricting in the United States. Scientific Data. 9(1). 689–689. 11 indexed citations
13.
Kuriwaki, Shiro, et al.. (2021). The use of differential privacy for census data and its impact on redistricting: The case of the 2020 U.S. Census. Science Advances. 7(41). eabk3283–eabk3283. 63 indexed citations
14.
Imai, Kosuke, et al.. (2020). The Essential Role of Empirical Validation in Legislative Redistricting Simulation. SHILAP Revista de lepidopterología. 7(1). 52–68. 9 indexed citations
15.
Hirose, K., Kosuke Imai, & Jason Lyall. (2017). Can civilian attitudes predict insurgent violence? Ideology and insurgent tactical choice in civil war. Journal of Peace Research. 54(1). 47–63. 28 indexed citations
16.
Imai, Kosuke, Luke Keele, Dustin Tingley, & Teppei Yamamoto. (2014). Practical Implications of Theoretical Results for Causal Mediation Analysis. Psychological Methods. 19(4). 4 indexed citations
17.
Imai, Kosuke, Dustin Tingley, & Teppei Yamamoto. (2013). Experimental Designs for Identifying Causal Mechanisms (with discussions). 176(1). 15 indexed citations
18.
Imai, Kosuke, Ying Lü, & Aaron Strauss. (2011). eco: R Package for Ecological Inference in 2x2 Tables. SHILAP Revista de lepidopterología. 1 indexed citations
19.
Imai, Kosuke, Luke Keele, Dustin Tingley, & Teppei Yamamoto. (2011). Unpacking the Black-Box: Learning about Causal Mechanisms from Experimental and Observational Studies. American Political Science Review. 105(4). 28 indexed citations
20.
Horiuchi, Yusaku, Kosuke Imai, & Naoko Taniguchi. (2007). Designing and Analyzing Randomized Experiments: Application to a Japanese Election Survey Experiment. SSRN Electronic Journal. 5 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Jennifer Hill Breakdown of academic impact, for papers by Harvey Goldstein Breakdown of academic impact, for papers by Roger Tourangeau Breakdown of academic impact, for papers by A. Colin Cameron Breakdown of academic impact, for papers by Alberto Abadie Breakdown of academic impact, for papers by Gary King Breakdown of academic impact, for papers by Paul D. Allison Breakdown of academic impact, for papers by Luke Keele Breakdown of academic impact, for papers by Robert M. Groves Breakdown of academic impact, for papers by Jens Hainmueller
Rankless by CCL
2026