Brian Quistorff
Impact in
- Economics and Econometrics top 10%
- Fiscal Policy and Economic Growth
- Housing Market and Economics
-
- Monetary Policy and Economic Impact
Papers in
-
- Advanced Causal Inference Techniques 3
- Co-authors
- Sebastián Galiani (4 shared papers)Patrick J. McEwan (1 shared paper)Bruce A. Weinberg (1 shared paper)Abe Dunn (1 shared paper)John C. Ham (1 shared paper)
- Journals
- The Stata Journal Promoting communications on statistics and Stata (3 papers)Research in Economics (1 paper)International Economic Review (1 paper)Industrial Relations A Journal of Economy and Society (1 paper)AEA Papers and Proceedings (1 paper)
- Partner nations
- United StatesIsraelGermany
In The Last Decade
Brian Quistorff
7 papers receiving 247 citations
Peers
Comparison fields: 5 of 76
- Economics and Econometrics 130
- General Economics, Econometrics and Finance 31
- Modeling and Simulation 11
- Finance 23
- Accounting 22
Countries citing papers authored by Brian Quistorff
This map shows the geographic impact of Brian Quistorff's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Brian Quistorff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Quistorff more than expected).
Fields of papers citing papers by Brian Quistorff
This network shows the impact of papers produced by Brian Quistorff. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Brian Quistorff. The network helps show where Brian Quistorff may publish in the future.
Co-authors
The 5 scholars most cited alongside Brian Quistorff, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 191 | |
| 2 | 2017 | 43 | |
| 3 | 2015 | 13 | |
| 4 | 2019 | 9 | |
| 5 | 2016 | 2 | |
| 6 | 2025 | 1 | |
| 7 | 2024 | 1 | |
| 8 | 2023 | 0 | |
| 9 | 2025 | 0 |
About Brian Quistorff
Brian Quistorff is a scholar working on Economics and Econometrics, Statistics and Probability, Artificial Intelligence, Urban Studies and General Health Professions, having authored 9 papers that have together received 260 indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (3 papers), Bayesian Modeling and Causal Inference (1 paper), COVID-19 epidemiological studies (1 paper), Primary Care and Health Outcomes (1 paper), Poverty, Education, and Child Welfare (1 paper), Child Nutrition and Water Access (1 paper), Computational Physics and Python Applications (1 paper) and Global Development and Urbanization (1 paper). The work is most often cited by research in Economics and Econometrics (130 citations), General Economics, Econometrics and Finance (31 citations), Modeling and Simulation (11 citations), Finance (23 citations) and Accounting (22 citations). Brian Quistorff has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Sebastián Galiani, Patrick J. McEwan, Bruce A. Weinberg, Abe Dunn and John C. Ham. Their work appears in journals such as The Stata Journal Promoting communications on statistics and Stata, Research in Economics, International Economic Review, Industrial Relations A Journal of Economy and Society and AEA Papers and Proceedings.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.