Justin Grimmer

Justin Grimmer

Stanford University

H-index: 28

North America-United States

About Justin Grimmer

Justin Grimmer, With an exceptional h-index of 28 and a recent h-index of 26 (since 2020), a distinguished researcher at Stanford University, specializes in the field of Congress, Representation, Political Communication, Text as Data, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

How Election Rules Affect Who Wins

Legislator Advocacy on Behalf of Constituents and Corporate Donors: A Case Study of the Federal Energy Regulatory Commission

Naive regression requires weaker assumptions than factor models to adjust for multiple cause confounding

Who are the Election Skeptics? Evidence from the 2022 Midterm Elections

Potomac Fever or Constituent Ombudsman?: Testing Theories of Legislative Capacity and Priorities

How does the rising number of women in the US Congress change deliberation? Evidence from House Committee hearings

Text as data: A new framework for machine learning and the social sciences

The durable differential deterrent effects of strict photo identification laws

Justin Grimmer Information

University

Position

Professor of Political Science. Senior Fellow Hoover Institution.

Citations(all)

8613

Citations(since 2020)

5510

Cited By

5088

hIndex(all)

28

hIndex(since 2020)

26

i10Index(all)

37

i10Index(since 2020)

33

Email

University Profile Page

Stanford University

Google Scholar

View Google Scholar Profile

Justin Grimmer Skills & Research Interests

Congress

Representation

Political Communication

Text as Data

Machine Learning

Top articles of Justin Grimmer

Title

Journal

Author(s)

Publication Date

How Election Rules Affect Who Wins

Journal of Legal Analysis

Justin Grimmer

Eitan Hersh

2024/1/1

Legislator Advocacy on Behalf of Constituents and Corporate Donors: A Case Study of the Federal Energy Regulatory Commission

Accountability Reconsidered: Voters, Interests, and Information in US Policymaking

Eleanor Neff Powell

Devin Judge-Lord

Justin Grimmer

2023/2/16

Naive regression requires weaker assumptions than factor models to adjust for multiple cause confounding

Journal of Machine Learning Research

Justin Grimmer

Dean Knox

Brandon Stewart

2023

Who are the Election Skeptics? Evidence from the 2022 Midterm Elections

OSF Preprints

Justin Grimmer

Derek Holliday

Yphtach Lelkes

Sean Westwood

2023/8/4

Potomac Fever or Constituent Ombudsman?: Testing Theories of Legislative Capacity and Priorities

Devin Judge-Lord

Justin Grimmer

Eleanor Neff Powell

2022/1/25

How does the rising number of women in the US Congress change deliberation? Evidence from House Committee hearings

Quarterly Journal of Political Science

Pamela Ban

Justin Grimmer

Jaclyn Kaslovsky

Emily West

2022/7/19

Text as data: A new framework for machine learning and the social sciences

Justin Grimmer

Margaret E Roberts

Brandon M Stewart

2022/1/4

The durable differential deterrent effects of strict photo identification laws

Political Science Research and Methods

Justin Grimmer

Jesse Yoder

2022/7

Changing the Default: The Impact of Motor-Voter Reform in Colorado

Unpublished Working Paper

Justin Grimmer

Jonathan Rodden

2022/1

Measuring the contribution of voting blocs to election outcomes

Justin Grimmer

William Marble

Cole Tanigawa-Lau

2022/6

How to make causal inferences using texts

Science Advances

Naoki Egami

Christian J Fong

Justin Grimmer

Margaret E Roberts

Brandon M Stewart

2022/10/19

Who Gets Constituent Service?

Rochelle Snyder

Devin Judge-Lord

Eleanor Neff Powell

Justin Grimmer

2022

Partisan enclaves and information bazaars: Mapping selective exposure to online news

The Journal of Politics

Matthew Tyler

Justin Grimmer

Shanto Iyengar

2022/4/1

Causal inference in natural language processing: Estimation, prediction, interpretation and beyond

Transactions of the Association for Computational Linguistics

Amir Feder

Katherine A Keith

Emaad Manzoor

Reid Pryzant

Dhanya Sridhar

...

2022/10/18

Current research overstates American support for political violence

Proceedings of the National Academy of Sciences

Sean J Westwood

Justin Grimmer

Matthew Tyler

Clayton Nall

2022/3/22

Reply to Kalmoe and Mason: The pitfalls of using surveys to measure low-prevalence attitudes and behavior

Proceedings of the National Academy of Sciences

Sean J Westwood

Justin Grimmer

Matthew Tyler

Clayton Nall

2022/8/9

Proceedings of the First Workshop on Causal Inference and NLP

Amir Feder

Katherine Keith

Emaad Manzoor

Reid Pryzant

Dhanya Sridhar

...

2021/11

SI Appendix for: No Evidence for Systematic Voter Fraud: A Guide To Statistical Claims About the 2020 Election

Andrew C Eggers

Haritz Garro

Justin Grimmer

2021/9/21

Evaluating Look Ahead America’s ‘e Georgia Report’on Illegal, Out-of-State Voting in the 2020 Election

Andrew B Hall

M Daniel

2021/8/11

Machine learning for social science: An agnostic approach

Justin Grimmer

Margaret E Roberts

Brandon M Stewart

2021/5/11

See List of Professors in Justin Grimmer University(Stanford University)

Co-Authors

H-index: 116
Gary King

Gary King

Harvard University

H-index: 41
Daniel Carpenter

Daniel Carpenter

Harvard University

H-index: 31
Margaret E. Roberts

Margaret E. Roberts

University of California, San Diego

H-index: 30
Brandon M. Stewart

Brandon M. Stewart

Princeton University

H-index: 22
Solomon Messing

Solomon Messing

Stanford University

H-index: 20
Sean J Westwood

Sean J Westwood

Dartmouth College

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