World's Best Scientists 2026 revealed!

D-Index & Metrics

Social Sciences and Humanities

D-Index
59
Citations
42716
World Ranking
1504
National Ranking
717

Kosuke Imai publication distribution in Social Sciences and Humanities in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Social Sciences and Humanities in 2026. The highlighted bar marks where Kosuke Imai sits on this spectrum.

44–53 publications: 28 scientists 54–63 publications: 61 scientists 64–73 publications: 161 scientists 74–83 publications: 225 scientists 84–93 publications: 301 scientists 94–103 publications: 390 scientists 104–113 publications: 406 scientists 114–123 publications: 474 scientists 124–133 publications: 453 scientists 134–143 publications: 434 scientists 144–153 publications: 407 scientists 154–163 publications: 411 scientists 164–173 publications: 391 scientists 174–183 publications: 313 scientists 184–193 publications: 319 scientists 194–203 publications: 304 scientists 204–213 publications: 285 scientists 214–223 publications: 246 scientists 224–233 publications: 213 scientists 234–243 publications: 170 scientists 244–253 publications: 167 scientists 254–263 publications: 162 scientists 264–273 publications: 138 scientists 274–283 publications: 138 scientists 284–293 publications: 113 scientists 294–303 publications: 106 scientists 304–313 publications: 95 scientists 314–323 publications: 101 scientists 324–333 publications: 81 scientists 334–343 publications: 69 scientists 344–353 publications: 56 scientists 354–363 publications: 36 scientists 364–373 publications: 42 scientists 374–383 publications: 41 scientists 384–393 publications: 44 scientists 394–403 publications: 27 scientists 404–413 publications: 30 scientists 414–423 publications: 20 scientists 424–433 publications: 29 scientists 434–443 publications: 29 scientists 444–453 publications: 25 scientists 454–463 publications: 19 scientists 464–473 publications: 21 scientists 474–483 publications: 11 scientists 484–493 publications: 17 scientists 494–503 publications: 7 scientists 504–513 publications: 6 scientists 514–523 publications: 12 scientists 524–533 publications: 10 scientists 534–543 publications: 7 scientists 544–553 publications: 6 scientists 554–563 publications: 12 scientists 564–569 publications: 8 scientists 570+ publications: 100 scientists
44 publications 570+

This scientist: 144 publications — 38th percentile

38% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 570 publications or more.

Kosuke Imai D-index placement in Social Sciences and Humanities in 2026

The chart shows the D-index (discipline H-index) distribution of Social Sciences and Humanities scientists ranked by Research.com in 2026. The highlighted bar marks where Kosuke Imai sits on this spectrum.

30 D-Index: 177 scientists 31 D-Index: 210 scientists 32 D-Index: 222 scientists 33 D-Index: 188 scientists 34 D-Index: 181 scientists 35 D-Index: 243 scientists 36 D-Index: 261 scientists 37 D-Index: 272 scientists 38 D-Index: 278 scientists 39 D-Index: 300 scientists 40 D-Index: 297 scientists 41 D-Index: 308 scientists 42 D-Index: 313 scientists 43 D-Index: 300 scientists 44 D-Index: 269 scientists 45 D-Index: 260 scientists 46 D-Index: 228 scientists 47 D-Index: 251 scientists 48 D-Index: 203 scientists 49 D-Index: 186 scientists 50 D-Index: 187 scientists 51 D-Index: 166 scientists 52 D-Index: 138 scientists 53 D-Index: 141 scientists 54 D-Index: 131 scientists 55 D-Index: 137 scientists 56 D-Index: 109 scientists 57 D-Index: 129 scientists 58 D-Index: 95 scientists 59 D-Index: 105 scientists 60 D-Index: 106 scientists 61 D-Index: 86 scientists 62 D-Index: 94 scientists 63 D-Index: 77 scientists 64 D-Index: 79 scientists 65 D-Index: 59 scientists 66 D-Index: 68 scientists 67 D-Index: 51 scientists 68 D-Index: 49 scientists 69 D-Index: 40 scientists 70 D-Index: 43 scientists 71 D-Index: 40 scientists 72 D-Index: 50 scientists 73 D-Index: 46 scientists 74 D-Index: 43 scientists 75 D-Index: 45 scientists 76 D-Index: 45 scientists 77 D-Index: 30 scientists 78 D-Index: 25 scientists 79 D-Index: 31 scientists 80 D-Index: 29 scientists 81 D-Index: 18 scientists 82 D-Index: 21 scientists 83 D-Index: 26 scientists 84 D-Index: 15 scientists 85 D-Index: 15 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 12 scientists 89 D-Index: 7 scientists 90 D-Index: 19 scientists 91 D-Index: 20 scientists 92 D-Index: 13 scientists 93 D-Index: 9 scientists 94 D-Index: 13 scientists 95 D-Index: 8 scientists 96 D-Index: 7 scientists 97 D-Index: 6 scientists 98 D-Index: 6 scientists 99 D-Index: 6 scientists 100+ D-Index: 97 scientists
30 D-Index 100+

This scientist: 59 D-Index — 81st percentile

81% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 100 D-Index or more.

Overview

Kosuke Imai is affiliated with Harvard University in the United States. Their research spans several interconnected fields, focusing predominantly on statistical methods, causal inference, and political science.

The scientist has made notable contributions in various research areas, including:

  • Advanced Causal Inference Techniques
  • Judicial and Constitutional Studies
  • Statistical Methods and Inference
  • Census and Population Estimation
  • Electoral Systems and Political Participation
  • Healthcare Policy and Management
  • Statistical Methods and Bayesian Inference

In terms of disciplinary focus, Kosuke Imai's work bridges several subfields, notably:

  • Statistics and Probability
  • Economics and Econometrics
  • Sociology and Political Science
  • Law
  • Artificial Intelligence

Their recent publications include research articles that address methodological issues in political analysis and causal inference. Some key papers are:

  • "On the Use of Two-Way Fixed Effects Regression Models for Causal Inference with Panel Data" (2020), published in Political Analysis
  • "Matching Methods for Causal Inference with Time-Series Cross-Sectional Data" (2021), published in American Journal of Political Science
  • "Improving the External Validity of Conjoint Analysis: The Essential Role of Profile Distribution" (2021), published in Political Analysis
  • "The use of differential privacy for census data and its impact on redistricting: The case of the 2020 U.S. Census" (2021), published in Science Advances
  • "Keyword-Assisted Topic Models" (2023), published in American Journal of Political Science

Kosuke Imai frequently collaborates with researchers such as Brandon De La Cuesta, Naoki Egami, Christopher T Kenny, Benjamin Fifield, and Jun Kawahara, indicating a strong network in social science methodology and statistical research.

The scientist has disseminated work in prominent publication venues, with multiple contributions to:

  • Harvard Dataverse
  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • Political Analysis
  • Journal of the American Statistical Association

Best Publications

  • Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference

    Daniel E. Ho;Kosuke Imai;Gary King;Elizabeth A. Stuart

  • MatchIt: Nonparametric Preprocessing for Parametric Causal Inference

    Daniel E. Ho;Kosuke Imai;Gary King;Elizabeth A. Stuart

  • A general approach to causal mediation analysis.

    Kosuke Imai;Luke Keele;Dustin Tingley

  • mediation: R Package for Causal Mediation Analysis

    Dustin Tingley;Teppei Yamamoto;Kentaro Hirose;Luke Keele

  • Redefine statistical significance

    Daniel J. Benjamin;James O. Berger;Magnus Johannesson;Magnus Johannesson;Brian A. Nosek;Brian A. Nosek

  • Identification, Inference, and Sensitivity Analysis for Causal Mediation Effects

    Kosuke Imai;Luke Keele;Teppei Yamamoto

  • Unpacking the Black Box of Causality: Learning about Causal Mechanisms from Experimental and Observational Studies

    Kosuke Imai;Luke Keele;Dustin Tingley;Teppei Yamamoto

  • Covariate balancing propensity score.

    Kosuke Imai;Marc Ratkovic

  • Misunderstandings between experimentalists and observationalists about causal inference

    Kosuke Imai;Gary King;Elizabeth A. Stuart

  • Causal Inference with General Treatment Regimes: Generalizing the Propensity Score

    Kosuke Imai;David A. van Dyk

  • Statistical Analysis of List Experiments

    Graeme Blair;Kosuke Imai

  • Explaining Support for Combatants during Wartime: A Survey Experiment in Afghanistan

    Jason Lyall;Graeme Blair;Kosuke Imai

  • Estimating treatment effect heterogeneity in randomized program evaluation

    Kosuke Imai;Marc Ratkovic

  • On the Use of Two-Way Fixed Effects Regression Models for Causal Inference with Panel Data

    Kosuke Imai;In Song Kim

  • Experimental designs for identifying causal mechanisms

    Kosuke Imai;Dustin Tingley;Teppei Yamamoto

  • Public Policy for the Poor? A Randomised Assessment of the Mexican Universal Health Insurance Programme

    Gary King;Emmanuela Gakidou;Kosuke Imai;Jason Lakin

  • Identification and Sensitivity Analysis for Multiple Causal Mechanisms: Revisiting Evidence from Framing Experiments

    Kosuke Imai;Teppei Yamamoto

  • Multivariate Regression Analysis for the Item Count Technique

    Kosuke Imai

  • Causal Mediation Analysis Using R

    Kosuke Imai;Luke Keele;Dustin Tingley;Teppei Yamamoto

  • The essential role of pair matching in cluster-randomized experiments, with application to the Mexican Universal Health Insurance Evaluation

    Kosuke Imai;Gary King;Clayton Matthew Nall

  • A Bayesian analysis of the multinomial probit model using marginal data augmentation

    Kosuke Imai;David A. van Dyk

  • Experimental Designs for Identifying Causal Mechanisms (with discussions)

    Kosuke Imai;Dustin Tingley;Teppei Yamamoto

Frequent Co-Authors

Gary King
Gary King Harvard University
Dustin Tingley
Dustin Tingley Harvard University
Luke Keele
Luke Keele University of Pennsylvania
Elizabeth A. Stuart
Elizabeth A. Stuart Johns Hopkins University
Yusaku Horiuchi
Yusaku Horiuchi Dartmouth College
Magnus Johannesson
Magnus Johannesson Stockholm School of Economics
Brian A. Nosek
Brian A. Nosek Center for Open Science
David Cesarini
David Cesarini New York University
Thomas D. Cook
Thomas D. Cook University of Wisconsin–Madison
Valen E. Johnson
Valen E. Johnson Texas A&M University

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