Peter M. Aronow

2.7k citations
46 papers · 1.4k · 2 hit papers · h-index 19

Impact in

    • Advanced Causal Inference Techniques
    • Statistical Methods and Inference
    • Statistical Methods and Bayesian Inference
    • Social Media and Politics

Papers in

Peter M. Aronow

44 papers receiving 1.3k citations

Peter M. Aronow's Hit Papers

A Note on Dropping Experimental Subjects who Fail a Manipulation Check 2019 · 170 citations
1700+3+6Years since publication100200300

Peers

Peter M. Aronow
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
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Countries citing papers authored by Peter M. Aronow

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Peter M. Aronow Line = papers co-authored together Peter M. Aronow links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Changing climates of conflict: A social network experiment in 56 schools
Hit paper breakdown →
2016307
2
A Note on Dropping Experimental Subjects who Fail a Manipulation Check
Hit paper breakdown →
2019170
3 2012134
4 201567
5 201561
6 201160
7 202254
8 201342
9 201341
10 201137
11 201536
12 202234
13
SHARP BOUNDS ON THE VARIANCE IN RANDOMIZED EXPERIMENTS
201632
14
Estimating Average Causal Effects Under General Interference
201226
15 201726
16 201925
17 201220
18 201420
19 201519
20 201116

About Peter M. Aronow

Peter M. Aronow is a scholar working on Statistics and Probability, Sociology and Political Science, Political Science and International Relations, Economics and Econometrics and Artificial Intelligence, 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), Statistical Methods in Clinical Trials (4 papers), Survey Sampling and Estimation Techniques (4 papers) and International Development and Aid (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 France. Frequent co-authors include Elizabeth Levy Paluck, Hana Shepherd, 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.

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