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Kosuke Imai

2004–2026 年に発表

83
論文数
35,444
被引用数
40
h 指数
57
i10 指数

被引用数

Kosuke Imai の年別被引用数1998 年: 被引用 1 件2003 年: 被引用 2 件2004 年: 被引用 9 件2005 年: 被引用 12 件2006 年: 被引用 12 件2007 年: 被引用 19 件2008 年: 被引用 41 件2009 年: 被引用 56 件2010 年: 被引用 66 件2011 年: 被引用 109 件2012 年: 被引用 122 件2013 年: 被引用 134 件2014 年: 被引用 180 件2015 年: 被引用 162 件2016 年: 被引用 174 件2017 年: 被引用 216 件2018 年: 被引用 246 件2019 年: 被引用 813 件2020 年: 被引用 897 件2021 年: 被引用 963 件2022 年: 被引用 791 件2023 年: 被引用 590 件2024 年: 被引用 914 件2025 年: 被引用 474 件2026 年: 被引用 61 件1999〜2002 年は被引用が無いため表示していません

引用元

国・地域

この著者を引用した国・地域の世界地図アメリカ合衆国: 引用元論文 3,222 件、この内訳の 31.7%イギリス: 引用元論文 809 件、この内訳の 8%中国: 引用元論文 654 件、この内訳の 6.4%ドイツ: 引用元論文 581 件、この内訳の 5.7%カナダ: 引用元論文 462 件、この内訳の 4.6%オランダ: 引用元論文 393 件、この内訳の 3.9%オーストラリア: 引用元論文 360 件、この内訳の 3.5%イタリア: 引用元論文 302 件、この内訳の 3%フランス: 引用元論文 257 件、この内訳の 2.5%スイス: 引用元論文 229 件、この内訳の 2.3%スペイン: 引用元論文 216 件、この内訳の 2.1%スウェーデン: 引用元論文 202 件、この内訳の 2%
0%31.7%その他 24.3%

機関

分野

  • Medicine32.4%
  • Mathematics11.6%
  • Social Sciences9.9%
  • Computer Science8.5%
  • Biochemistry, Genetics and Molecular Biology7.5%
  • Psychology6%
  • その他24.1%

トピック

  • Advanced Causal Inference Techniques3.5%
  • Statistical Methods and Inference2%
  • Statistical Methods and Bayesian Inference1.6%
  • Functional Brain Connectivity Studies1.1%
  • Bayesian Modeling and Causal Inference1%
  • Statistical Methods in Clinical Trials0.9%
  • その他89.9%

共著者

全論文

検索で開く
  1. MatchIt: Nonparametric Preprocessing for Parametric Causal Inference

    著者: Daniel E. Ho, Kosuke Imai, Gary King, Elizabeth A. Stuart - Journal of Statistical Software 2011 被引用: 4,366

  2. mediation:RPackage for Causal Mediation Analysis

    著者: Dustin Tingley, Teppei Yamamoto, K. Hirose, Luke Keele, Kosuke Imai - Journal of Statistical Software 2014 被引用: 3,942

  3. A general approach to causal mediation analysis.

    著者: Kosuke Imai, Luke Keele, Dustin Tingley - Psychological Methods 2010 被引用: 3,857

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

    著者: Daniel E. Ho, Kosuke Imai, Gary King, Elizabeth A. Stuart - Political Analysis 2007 被引用: 4,349

  5. Redefine statistical significance

    著者: Daniel J. Benjamin, James M. Berger, Magnus Johannesson, Brian A. Nosek, Eric‐Jan Wagenmakers, Richard A. Berk, Kenneth A. Bollen, Björn Brembs, Lawrence Brown, Colin F. Camerer, David Cesarini, Chris Chambers, Merlise Aycock Clyde, Tom Cook, Paul De Boeck, Zoltán Dienes, Anna Dreber, Kenny Easwaran, Charles Efferson, Ernst Fehr, Fiona Fidler, Andy P. Field, Malcolm E. Forster, Ed George, Richard Gonzalez, Steve Goodman, Ed Green, Don Green, Anthony G. Greenwald, Jarrod D. Hadfield, Larry V. Hedges, Leonhard Held, Teck‐Hua Ho, Herbert Hoijtink, James H. Jones, Daniel J. Hruschka, Kosuke Imai, Guido W. Imbens, John P. A. Ioannidis, Minjeong Jeon, Michael Kirchler, David Laibson, John A. List, Roderick J. A. Little, Arthur Lupia, Édouard Machery, Scott E. Maxwell, Michael McCarthy, Don A. Moore, Stephen L. Morgan, Marcus R. Munafò, Shinichi Nakagawa, Brendan Nyhan, Timothy Parker, Luis R. Pericchi, Marco Perugini, Jeffrey N. Rouder, Judith Rousseau, Victoria Savalei, Felix D. Schönbrodt, Thomas Sellke, Betsy Sinclair, Dustin Tingley, Trisha Van Zandt, Simine Vazire, Duncan J. Watts, Christopher Winship, Robert L. Wolpert, Yu Xie, CRISTOBAL YOUNG, Jonathan Zinman, Valen E. Johnson - Nature Human Behaviour 2017 被引用: 2,788

  6. MatchIt: Nonparametric Preprocessing for Parametric Causal Inference

    著者: Daniel E. Ho, Kosuke Imai, Gary King, Elizabeth A. Stuart, Noah Greifer - CRAN: Contributed Packages 2005 被引用: 1,230

  7. Covariate Balancing Propensity Score

    著者: Kosuke Imai, Marc Ratkovic - Journal of the Royal Statistical Society Series B (Statistical Methodology) 2013 被引用: 1,329

  8. Identification, Inference and Sensitivity Analysis for Causal Mediation Effects

    著者: Kosuke Imai, Luke Keele, Teppei Yamamoto - Statistical Science 2010 被引用: 1,558

  9. The use of differential privacy for census data and its impact on redistricting: The case of the 2020 U.S. Census

    著者: Christopher T Kenny, Shiro Kuriwaki, Cory McCartan, Evan T. R. Rosenman, Tyler Simko, Kosuke Imai - Science Advances 2021 被引用: 109

  10. Estimating treatment effect heterogeneity in randomized program evaluation

    著者: Kosuke Imai, Marc Ratkovic - The Annals of Applied Statistics 2013 被引用: 500

  11. Covariate balancing propensity score for a continuous treatment: Application to the efficacy of political advertisements

    著者: Christian Fong, Chad Hazlett, Kosuke Imai - The Annals of Applied Statistics 2018 被引用: 319

  12. Causal Inference With General Treatment Regimes

    著者: Kosuke Imai, David A. van Dyk - Journal of the American Statistical Association 2004 被引用: 877

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

    著者: Kosuke Imai, In Song Kim - Political Analysis 2020 被引用: 594

  14. Keyword‐Assisted Topic Models

    著者: Shusei Eshima, Kosuke Imai, Tomoya Sasaki - American Journal of Political Science 2023 被引用: 117

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

    著者: Kosuke Imai, Luke Keele, Dustin Tingley, Teppei Yamamoto - American Political Science Review 2011 被引用: 1,553

  16. Matching Methods for Causal Inference with Time‐Series Cross‐Sectional Data

    著者: Kosuke Imai, In Song Kim, Erik Wang - American Journal of Political Science 2021 被引用: 335

  17. Experimental Designs for Identifying Causal Mechanisms

    著者: Kosuke Imai, Dustin Tingley, Teppei Yamamoto - Journal of the Royal Statistical Society Series A (Statistics in Society) 2012 被引用: 407

  18. Experimental Evaluation of Algorithm-Assisted Human Decision-Making: Application to Pretrial Public Safety Assessment

    著者: Kosuke Imai, Zhichao Jiang, James Greiner, Ryan Halen, Sooahn Shin - Journal of the Royal Statistical Society Series A (Statistics in Society) 2023 被引用: 31

  19. Causal Mediation Analysis Using R

    著者: Kosuke Imai, Luke Keele, Dustin Tingley, Teppei Yamamoto - Lecture notes in statistics 2009 被引用: 296

  20. Causal Representation Learning with Generative Artificial Intelligence: Application to Texts as Treatments

    著者: Kosuke Imai, Kentaro Nakamura - CoRR 2024 被引用: 10

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

    著者: Kosuke Imai, Teppei Yamamoto - Political Analysis 2013 被引用: 391

  22. Improving Ecological Inference by Predicting Individual Ethnicity from Voter Registration Records

    著者: Kosuke Imai, Kabir Khanna - Political Analysis 2016 被引用: 252

  23. Bridging Prediction and Intervention Problems in Social Systems

    著者: Lydia T. Liu, Inioluwa Deborah Raji, Angela Zhou, Luke Guerdan, Jessica Hullman, Daniel Malinsky, Bryan Wilder, Simone Zhang, Hammaad Adam, Amanda Coston, Benjamin Laufer, Ezinne Nwankwo, Michael Zanger-Tishler, Eli Ben-Michael, Solon Barocas, Avi Feller, Marissa Gerchick, Talia Gillis, Shion Guha, Daniel E. Ho, Lily Hu, Kosuke Imai, Sayash Kapoor, Joshua Loftus, Razieh Nabi, Arvind Narayanan, Ben Recht, Juan Carlos Perdomo, Matthew J. Salganik, Mark P. Sendak, Alexander Tolbert, Berk Ustun, Suresh Venkatasubramanian, Angelina Wang, Ashia Wilson - ArXiv.org, CoRR 2025 被引用: 8

  24. Public policy for the poor? A randomised assessment of the Mexican universal health insurance programme

    著者: Gary King, Emmanuela Gakidou, Kosuke Imai, Jason Lakin, Ryan T. Moore, Clayton Nall, Nirmala Ravishankar, Manett Vargas, Martha María Téllez‐Rojo, Juan Eugenio Hernández‐Ávila, Mauricio Hernández Ávila, Héctor Hernández Llamas - The Lancet 2009 被引用: 330