Aaron R. Kaufman

Aaron R. Kaufman

New York University

H-index: 11

North America-United States

About Aaron R. Kaufman

Aaron R. Kaufman, With an exceptional h-index of 11 and a recent h-index of 11 (since 2020), a distinguished researcher at New York University, specializes in the field of Political Science, Machine Learning, Computational Social Science.

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

Heuristic Projection: Why Interest Group Cues May Fail to Help Citizens Hold Politicians Accountable

Divided Government, Strategic Substitution, and Presidential Unilateralism

Selecting More Informative Training Sets with Fewer Observations

Author Correction: Perception, performance, and detectability of conversational artificial intelligence across 32 university courses

Perception, performance, and detectability of conversational artificial intelligence across 32 university courses

Correcting Measurement Error Bias in Conjoint Survey Experiments: Supplementary Appendices

The Ideologies of Organized Interests and Amicus Curiae Briefs: Large-Scale, Social Network Imputation of Ideal Points

Leveraging text data for causal inference using electronic health records

Aaron R. Kaufman Information

University

Position

New York University Abu Dhabi

Citations(all)

543

Citations(since 2020)

505

Cited By

182

hIndex(all)

11

hIndex(since 2020)

11

i10Index(all)

11

i10Index(since 2020)

11

Email

University Profile Page

New York University

Google Scholar

View Google Scholar Profile

Aaron R. Kaufman Skills & Research Interests

Political Science

Machine Learning

Computational Social Science

Top articles of Aaron R. Kaufman

Title

Journal

Author(s)

Publication Date

Heuristic Projection: Why Interest Group Cues May Fail to Help Citizens Hold Politicians Accountable

British Journal of Political Science

David E Broockman

Aaron R Kaufman

Gabriel S Lenz

2024/1

Divided Government, Strategic Substitution, and Presidential Unilateralism

American Journal of Political Science

Aaron R Kaufman

Jon C Rogowski

2024/4

Selecting More Informative Training Sets with Fewer Observations

Political Analysis

Aaron R Kaufman

2024/1

Author Correction: Perception, performance, and detectability of conversational artificial intelligence across 32 university courses

Scientific reports

Hazem Ibrahim

Fengyuan Liu

Rohail Asim

Balaraju Battu

Sidahmed Benabderrahmane

...

2023

Perception, performance, and detectability of conversational artificial intelligence across 32 university courses

Hazem Ibrahim

Fengyuan Liu

Rohail Asim

Balaraju Battu

Sidahmed Benabderrahmane

...

2023/5/7

Correcting Measurement Error Bias in Conjoint Survey Experiments: Supplementary Appendices

Katherine Clayton

Yusaku Horiuchi

Aaron R Kaufman

Gary King

Mayya Komisarchik

2023/7

The Ideologies of Organized Interests and Amicus Curiae Briefs: Large-Scale, Social Network Imputation of Ideal Points

Political Analysis

Sahar Abi-Hassan

Janet M Box-Steffensmeier

Dino P Christenson

Aaron R Kaufman

Brian Libgober

2023

Leveraging text data for causal inference using electronic health records

arXiv preprint arXiv:2307.03687

Reagan Mozer

Aaron R Kaufman

Leo A Celi

Luke Miratrix

2023/6/9

Adaptive fuzzy string matching: How to merge datasets with only one (messy) identifying field

Political Analysis

Aaron R Kaufman

Aja Klevs

2022/10

Are Firms Gerrymandered?

George J. Stigler Center for the Study of the Economy & the State Working Paper

Joaquin Artes

Aaron Russell Kaufman

Brian Kelleher Richter

Jeffrey F Timmons

2022/6/21

Building Empathy in Challenging Contexts with Virtual Reality

Aaron Kaufman

Benjamin Laughlin

2022/3/26

Differentially private survey research

American Journal of Political Science

Georgina Evans

Gary King

Adam D Smith

Abhradeep Thakurta

Jonathan Katz

...

2022

How to measure legislative district compactness if you only know it when you see it

American Journal of Political Science

Aaron R Kaufman

Gary King

Mayya Komisarchik

2021/7

Gender Balance and Readability of COVID-19 Scientific Publishing: A Quantitative Analysis of 90,000 Preprint Manuscripts

medRxiv

Leo Anthony Celi

Marie-Laure Charpignon

Daniel K Ebner

Aaron R Kaufman

Liam G McCoy

...

2021/6/18

Diarization of legal proceedings. Identifying and transcribing judicial speech from recorded court audio

arXiv preprint arXiv:2104.01304

Jeffrey Tumminia

Amanda Kuznecov

Sophia Tsilerides

Ilana Weinstein

Brian McFee

...

2021/4/3

Intersectionality and Information Equivalence in Experimental Studies of Race and Class

Aaron Kaufman

Jake Grumbach

Christopher Celaya

2021/3/18

Statistically valid inferences from differentially private data releases, ii: Extensions to nonlinear transformations

Political Analysis

Georgina Evans

Gary King

2021

MIT COVID-19 Datathon: data without boundaries

BMJ Innovations

Eva Luo

Sarah Newman

Maelys Amat

Marie-Laure Charpignon

Erin R Duralde

...

2020/8/31

Supplementary Appendix: How to Measure Legislative District Compactness If You Only Know it When You See it

Aaron Kaufman

Gary King

Mayya Komisarchik

2020/12/29

The political consequences of opioid overdoses

PloS one

Aaron R Kaufman

Eitan D Hersh

2020/8/4

See List of Professors in Aaron R. Kaufman University(New York University)

Co-Authors

H-index: 116
Gary King

Gary King

Harvard University

H-index: 67
Leo Anthony Celi

Leo Anthony Celi

Massachusetts Institute of Technology

H-index: 28
Maya Sen

Maya Sen

Harvard University

H-index: 28
Jon Rogowski

Jon Rogowski

Harvard University

H-index: 26
David E. Broockman

David E. Broockman

University of California, Berkeley

H-index: 23
Luke Miratrix

Luke Miratrix

Harvard University

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