Connor T. Jerzak

Connor T. Jerzak

Harvard University

H-index: 5

North America-United States

About Connor T. Jerzak

Connor T. Jerzak, With an exceptional h-index of 5 and a recent h-index of 4 (since 2020), a distinguished researcher at Harvard University, specializes in the field of Political Methodology, Statistics, Causal Inference, Machine Learning, Comparative Politics.

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

Can Large Language Models (or Humans) Distill Text?

Integrating earth observation data into causal inference: Challenges and opportunities

Image-based treatment effect heterogeneity

Degrees of Randomness in Rerandomization Procedures

An improved method of automated nonparametric content analysis for social science

CausalImages: An R Package for Causal Inference with Earth Observation, Bio-medical, and Social Science Images

The Composition of Descriptive Representation

Linking Datasets on Organizations Using Half A Billion Open Collaborated Records

Connor T. Jerzak Information

University

Position

PhD Candidate

Citations(all)

80

Citations(since 2020)

68

Cited By

52

hIndex(all)

5

hIndex(since 2020)

4

i10Index(all)

2

i10Index(since 2020)

2

Email

University Profile Page

Harvard University

Google Scholar

View Google Scholar Profile

Connor T. Jerzak Skills & Research Interests

Political Methodology

Statistics

Causal Inference

Machine Learning

Comparative Politics

Top articles of Connor T. Jerzak

Title

Journal

Author(s)

Publication Date

Can Large Language Models (or Humans) Distill Text?

arXiv preprint arXiv:2403.16584

Nicolas Audinet de Pieuchon

Adel Daoud

Connor Thomas Jerzak

Moa Johansson

Richard Johansson

2024/3/25

Integrating earth observation data into causal inference: Challenges and opportunities

Connor T Jerzak

Fredrik Johansson

Adel Daoud

2023/1/30

Image-based treatment effect heterogeneity

Connor T Jerzak

Fredrik Johansson

Adel Daoud

2023/5

Degrees of Randomness in Rerandomization Procedures

arXiv preprint arXiv:2310.00861

Connor T Jerzak

Rebecca Goldstein

2023/10/2

An improved method of automated nonparametric content analysis for social science

Political Analysis

Connor T Jerzak

Gary King

Anton Strezhnev

2023/1

CausalImages: An R Package for Causal Inference with Earth Observation, Bio-medical, and Social Science Images

arXiv preprint arXiv:2310.00233

Connor T Jerzak

Adel Daoud

2023/9/30

The Composition of Descriptive Representation

American Political Science Review

John Gerring

Connor T Jerzak

Erzen Öncel

2023/2/10

Linking Datasets on Organizations Using Half A Billion Open Collaborated Records

arXiv preprint arXiv:2302.02533

Brian Libgober

Connor T Jerzak

2023/2/6

Automated nonparametric content analysis for information management and retrieval

2022/11/29

Conceptualizing Treatment Leakage in Text-based Causal Inference

arXiv preprint arXiv:2205.00465

Adel Daoud

Connor T Jerzak

Richard Johansson

2022/5/1

Political Methodology Tools for Data Linkage, Effect Estimation, and Statistical Inference

Connor Thomas Jerzak

2021/7/12

The impact of a transportation intervention on electoral politics: Evidence from E-ZPass

Research in Transportation Economics

Connor T Jerzak

Brian Libgober

2020/5/1

See List of Professors in Connor T. Jerzak University(Harvard University)

Co-Authors

H-index: 116
Gary King

Gary King

Harvard University

H-index: 26
Richard Johansson

Richard Johansson

Göteborgs universitet

H-index: 22
Adel Daoud

Adel Daoud

Harvard University

H-index: 19
Fredrik D. Johansson

Fredrik D. Johansson

Chalmers tekniska högskola

H-index: 15
Anton Strezhnev

Anton Strezhnev

New York University

H-index: 6
Brian Libgober

Brian Libgober

University of California, San Diego

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