Peter M. Aronow
- Statistics and Probability top 1%
- Advanced Causal Inference Techniques 18
- Statistical Methods and Bayesian Inference 13
- Statistical Methods and Inference 12
- Survey Sampling and Estimation Techniques 4
- Statistical Methods in Clinical Trials 4
- Communication top 2%
- Social Media and Politics 5
- Safety Research top 5%
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- Electoral Systems and Political Participation 7
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- Economic and Environmental Valuation 3
Peter M. Aronow
44 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Statistics and Probability 294
- Communication 196
- Safety Research 136
- Sociology and Political Science 641
- Political Science and International Relations 336
Countries citing papers authored by Peter M. Aronow
This map shows the geographic impact of Peter M. Aronow'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 Peter M. Aronow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter M. Aronow more than expected).
Fields of papers citing papers by Peter M. Aronow
This network shows the impact of papers produced by Peter M. Aronow. 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 Peter M. Aronow. The network helps show where Peter M. Aronow may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Peter M. Aronow, 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 | 2025 | 3 | |
| 2 | 2024 | 3 | |
| 3 | 2023 | 2 | |
| 4 | 2019 | 25 | |
| 5 | 2018 | 3 | |
| 6 | Changing climates of conflict: A social network experiment in 56 schoolsbreakdown → | 2016 | 307 |
| 7 | 2016 | 3 | |
| 8 | 2016 | 1 | |
| 9 | 2015 | 7 | |
| 10 | 2015 | 7 | |
| 11 | 2015 | 61 | |
| 12 | 2015 | 19 | |
| 13 | 2015 | 9 | |
| 14 | 2013 | 42 | |
| 15 | 2013 | 41 | |
| 16 | Conservative variance estimation for sampling designs with zero pairwise inclusion probabilities | 2012 | 6 |
| 17 | Estimating Average Causal Effects Under General Interference | 2012 | 26 |
| 18 | ri: R Package for Performing Randomization-Based Inference for Experiments | 2012 | 8 |
| 19 | 2012 | 4 | |
| 20 | 2012 | 13 |
About Peter M. Aronow
Peter M. Aronow is a scholar working on Statistics and Probability, Development, Communication, Sociology and Political Science and Political Science and International Relations, having authored 46 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (18 papers), Statistical Methods and Bayesian Inference (13 papers), Statistical Methods and Inference (12 papers), Electoral Systems and Political Participation (7 papers), Social Media and Politics (5 papers), Survey Sampling and Estimation Techniques (4 papers), Statistical Methods in Clinical Trials (4 papers) and Economic and Environmental Valuation (3 papers). The work is most often cited by research in Statistics and Probability (294 citations), Communication (196 citations), Safety Research (136 citations), Sociology and Political Science (641 citations) and Political Science and International Relations (336 citations). Peter M. Aronow has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include Hana Shepherd, Elizabeth Levy Paluck, Donald P. Green, Cyrus Samii, Lauren E. Pinson, Jonathon Baron, Mary C. McGrath, Joel A. Middleton, Allison Carnegie and Joshua Kalla. Their work appears in journals such as Political Analysis, The Annals of Applied Statistics, PLoS ONE, SpringerPlus and Journal of Survey Statistics and Methodology.
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.