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Guido W. Imbens

1994–2023 年に発表

61
論文数
54,372
被引用数
55
h 指数
59
i10 指数

被引用数

Guido W. Imbens の年別被引用数1952 年: 被引用 1 件1976 年: 被引用 1 件1995 年: 被引用 7 件1996 年: 被引用 6 件1997 年: 被引用 14 件1998 年: 被引用 10 件1999 年: 被引用 33 件2000 年: 被引用 42 件2001 年: 被引用 41 件2002 年: 被引用 54 件2003 年: 被引用 72 件2004 年: 被引用 65 件2005 年: 被引用 129 件2006 年: 被引用 120 件2007 年: 被引用 122 件2008 年: 被引用 177 件2009 年: 被引用 171 件2010 年: 被引用 181 件2011 年: 被引用 168 件2012 年: 被引用 148 件2013 年: 被引用 138 件2014 年: 被引用 187 件2015 年: 被引用 216 件2016 年: 被引用 194 件2017 年: 被引用 233 件2018 年: 被引用 291 件2019 年: 被引用 642 件2020 年: 被引用 637 件2021 年: 被引用 620 件2022 年: 被引用 480 件2023 年: 被引用 374 件2024 年: 被引用 405 件2025 年: 被引用 268 件2026 年: 被引用 56 件1953〜1975 年は被引用が無いため表示していません1977〜1994 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 2,953 件、この内訳の 38%イギリス: 引用元論文 660 件、この内訳の 8.5%中国: 引用元論文 469 件、この内訳の 6.1%ドイツ: 引用元論文 398 件、この内訳の 5.1%カナダ: 引用元論文 297 件、この内訳の 3.8%オーストラリア: 引用元論文 242 件、この内訳の 3.1%オランダ: 引用元論文 227 件、この内訳の 2.9%イタリア: 引用元論文 185 件、この内訳の 2.4%スイス: 引用元論文 173 件、この内訳の 2.2%フランス: 引用元論文 172 件、この内訳の 2.2%日本: 引用元論文 149 件、この内訳の 1.9%スウェーデン: 引用元論文 129 件、この内訳の 1.7%
0%38%その他 22.1%

機関

分野

  • Mathematics21%
  • Social Sciences15.6%
  • Medicine11.6%
  • Computer Science10.6%
  • Economics, Econometrics and Finance10.1%
  • Business, Management and Accounting6.4%
  • その他24.7%

トピック

  • Advanced Causal Inference Techniques7.4%
  • Statistical Methods and Inference4.6%
  • Statistical Methods and Bayesian Inference2.7%
  • Bayesian Modeling and Causal Inference2.1%
  • Statistical Methods in Clinical Trials1.6%
  • Global Health Care Issues1.4%
  • その他80.2%

共著者

全論文

検索で開く
  1. Recursive partitioning for heterogeneous causal effects

    著者: Susan Athey, Guido W. Imbens - National Academy of Sciences, Proceedings of the National Academy of Sciences 2016 被引用: 1,537

  2. 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

  3. Machine Learning Methods That Economists Should Know About

    著者: Susan Athey, Guido W. Imbens - Annual Review of Economics 2019 被引用: 1,042

  4. Identification and Estimation of Local Average Treatment Effects

    著者: Guido W. Imbens, Joshua D. Angrist - Econometrica 1994 被引用: 4,106

  5. Large Sample Properties of Matching Estimators for Average Treatment Effects

    著者: Alberto Abadie, Guido W. Imbens - Econometrica 2005 被引用: 2,931

  6. Dealing with limited overlap in estimation of average treatment effects

    著者: Richard K. Crump, V. Joseph Hotz, Guido W. Imbens, Oscar A. Mitnik - Biometrika 2009 被引用: 982

  7. Multiple Randomization Designs

    著者: Patrick Bajari, Brian Burdick, Guido W. Imbens, Lorenzo Masoero, James McQueen, Thomas S. Richardson, Ido M. Rosen - CoRR 2021 被引用: 35

  8. Identification and Inference in Nonlinear Difference-in-Differences Models

    著者: Susan Athey, Guido W. Imbens - Econometrica 2006 被引用: 1,081

  9. Potential Outcome and Directed Acyclic Graph Approaches to Causality: Relevance for Empirical Practice in Economics

    著者: Guido W. Imbens - Journal of Economic Literature 2020 被引用: 176

  10. The Propensity Score with Continuous Treatments

    著者: Keisuke Hirano, Guido W. Imbens - Wiley series in probability and statistics 2004 被引用: 1,012

  11. Top Challenges from the first Practical Online Controlled Experiments Summit

    著者: Somit Gupta, Ronny Kohavi, Diane Tang, Ya Xu, Reid Andersen, Eytan Bakshy, Niall J. Cardin, Sumita Chandran, Nanyu Chen, Dominic Coey, Mike Curtis, Alex Deng, Weitao Duan, Peter Forbes, Brian Frasca, Tommy Guy, Guido W. Imbens, Guillaume Saint Jacques, Pranav Kantawala, Ilya Katsev, Moshe Katzwer, Mikael Konutgan, Elena Kunakova, Minyong Lee, Mi‐Jeong Lee, Joseph K. Liu, James M. McQueen, Amir Najmi, Brent Smith, Vivek Trehan, Lukas Vermeer, Toby Walker, Jeffrey Wong, Igor Yashkov - ACM SIGKDD Explorations Newsletter, SIGKDD Explor. 2019 被引用: 139

  12. Optimal Bandwidth Choice for the Regression Discontinuity Estimator

    著者: Guido W. Imbens, Kaushik Kalyanaraman - The Review of Economic Studies 2011 被引用: 2,193

  13. Why High-Order Polynomials Should Not Be Used in Regression Discontinuity Designs

    著者: Andrew Gelman, Guido W. Imbens - Journal of Business and Economic Statistics 2014 被引用: 1,362

  14. When Should You Adjust Standard Errors for Clustering?

    著者: Alberto Abadie, Susan Athey, Guido W. Imbens, Jeffrey M. Wooldridge - 2017 被引用: 1,389

  15. Promoting Transparency in Social Science Research

    著者: Edward Miguel, Colin F. Camerer, Katherine Casey, Jérémie F. Cohen, Kevin Esterling, Alan S. Gerber, Rachel Glennerster, Donald P. Green, Macartan Humphreys, Guido W. Imbens, David D. Laitin, Temina Madon, Lewis S. Nelson, Brian A. Nosek, Morten Aagaard Petersen, Richard Sedlmayr, Joseph P. Simmons, Uri Simonsohn, Mark van der Laan - Science 2014 被引用: 573

  16. Bias-Corrected Matching Estimators for Average Treatment Effects

    著者: Alberto Abadie, Guido W. Imbens - Journal of Business and Economic Statistics 2010 被引用: 1,432

  17. Identification and Inference for Econometric Models

    著者: Donald W. K. Andrews, Donald W. K. Andrews, Donald W. K. Andrews, Thomas J. Rothenberg, Arthur S. Goldberger, Jeffrey M. Wooldridge, David A. Freedman, James H. Stock, James H. Stock, Douglas G. Steigerwald, Hidehiko Ichimura, Donald W. K. Andrews, Guido W. Imbens, Whitney K. Newey, Ron C. Mittelhammer, Ole E. Barndorff–Nielsen, N. E. Savin, Michael Jansson, Samuel B. Thompson, Andrew Harvey, Jushan Bai, Brownwyn H. Hall, David F. Hendry, Peter J. Bickel, Bo E. Honoré - Cambridge University Press eBooks 2005 被引用: 717

  18. Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction

    著者: Guido W. Imbens, Donald B. Rubin - 2015 被引用: 829

  19. Estimation Considerations in Contextual Bandits

    著者: Maria Dimakopoulou, Zhou, Zhengyuan, Susan Athey, Guido W. Imbens - arXiv (Cornell University), CoRR 2017 被引用: 40

  20. Implementing Matching Estimators for Average Treatment Effects in Stata

    著者: Alberto Abadie, David M. Drukker, Jane Leber Herr, Guido W. Imbens - The Stata Journal Promoting communications on statistics and Stata 2004 被引用: 1,422

  21. Estimation of Causal Effects using Propensity Score Weighting: An Application to Data on Right Heart Catheterization

    著者: Keisuke Hirano, Guido W. Imbens - Health Services and Outcomes Research Methodology 2001 被引用: 1,060

  22. Nonparametric Tests for Treatment Effect Heterogeneity

    著者: Richard K. Crump, V. Joseph Hotz, Guido W. Imbens, Oscar A. Mitnik - The Review of Economics and Statistics 2008 被引用: 240

  23. Identification of Causal Effects Using Instrumental Variables

    著者: Joshua D. Angrist, Guido W. Imbens, Donald B. Rubin - Journal of the American Statistical Association 1996 被引用: 4,216

  24. Revisiting event study designs: robust and efficient estimation

    著者: Kirill Borusyak, Xavier Jaravel, Jann Spiess, Alberto Abadie, Isaiah Andrews, Raj Chetty, Itzik Fadlon, Ed Glaeser, Peter Hull, Guido W. Imbens, Larry Katz, Jack Liebersohn, Benjamin Moll, Jonathan Roth, Pedro H. C. Sant’Anna, Amanda Weiss, Alberto Abadie, Alexis Diamond, Jens Hainmueller, Guido Imbens, Fanyin Zheng, Jaap Abbring, Gerard Van Den, Berg, Jerome Adda, Joshua Angrist, Scott Baier, H Jeffrey, Bergstrand, Scott Baker, Natalie Bau, Christian Broda, Jonathan Parker, Brantly Callaway, Pedro Sant'anna, Doruk Cengiz, Arindrajit Dube, Attila Lindner, Ben Zippere, Clment De Chaisemartin, D' Xavier, Haultfoeuille, Di Maggio, Amir Marco, Kaveh Kermani, Majlesi, Mark Duggan, Craig Garthwaite, Aparajita Goyal, Andreas Fagereng, Martin Holm, Gisle Natvik, Laurent Gobillon, Thierry Magnac, Andrew Goodman-Bacon, Paulo Guimares, Pedro Portugal, Hilary Hoynes, Diane Schanzenbach, Douglas Almond, Cheng Hsiao, H Ching, Shui Ki, Wan, David Johnson, Jonathan Parker, Nicholas Souleles, Greg Kaplan, Giovanni Violante, Patrick Kline, Raffaele Saggio, Mikkel Solvsten, Lorenz Kueng, Licheng Liu, Ye Wang, Yiqing Xu, A Mackinlay, Craig, James Mackinnon, Halbert White, Michelle Marcus, Pedro Sant'anna, Isabel Martnez, Emmanuel Saez, Michael Siegenthaler, Jonathan Meer, Jeremy West, Conrad Miller, Nicholas Souleles, David Johnson, Robert Mcclelland, Dario Sansone - 2022 被引用: 695