| Can violent protest change local policy support? Evidence from the aftermath of the 1992 Los Angeles riot RD Enos, AR Kaufman, ML Sands American Political Science Review 113 (4), 1012-1028, 2019 | 245 | 2019 |
| Perception, performance, and detectability of conversational artificial intelligence across 32 university courses H Ibrahim, F Liu, R Asim, B Battu, S Benabderrahmane, B Alhafni, ... Scientific reports 13 (1), 12187, 2023 | 241 | 2023 |
| Matching with Text Data: An Experimental Evaluation of Methods for Matching Documents and of Measuring Match Quality R Mozer, L Miratrix, AR Kaufman, LJ Anastasopoulos Political Analysis, 2020 | 110 | 2020 |
| How to measure legislative district compactness if you only know it when you see it A Kaufman, G King, M Komisarchik American Journal of Political Science, 2021 | 102 | 2021 |
| Correcting Measurement Error Bias in Conjoint Survey Experiments K Clayton, Y Horiuchi, AR Kaufman, G King, M Komisarchik American Journal of Political Science 12 (B2), 1-11, 2023 | 84 | 2023 |
| Improving supreme court forecasting using boosted decision trees AR Kaufman, P Kraft, M Sen Political Analysis 27 (3), 381-387, 2019 | 82* | 2019 |
| A mixture-of-modelers approach to forecasting NCAA tournament outcomes LH Yuan, A Liu, A Yeh, A Kaufman, A Reece, P Bull, A Franks, S Wang, ... Journal of Quantitative Analysis in Sports 11 (1), 13-27, 2015 | 41 | 2015 |
| Developing well-calibrated illness severity scores for decision support in the critically ill CV Cosgriff, LA Celi, S Ko, T Sundaresan, MÁ Armengol de la Hoz, ... NPJ digital medicine 2 (1), 76, 2019 | 31 | 2019 |
| The political consequences of opioid overdoses AR Kaufman, ED Hersh PloS one 15 (8), e0236815, 2020 | 26 | 2020 |
| Adaptive fuzzy string matching: How to merge datasets with only one (messy) identifying field AR Kaufman, A Klevs Political Analysis 30 (4), 590-596, 2022 | 20 | 2022 |
| Divided government, strategic substitution, and presidential unilateralism AR Kaufman, JC Rogowski American Journal of Political Science 68 (2), 816-831, 2024 | 19* | 2024 |
| MIT COVID-19 Datathon: data without boundaries EM Luo, S Newman, M Amat, ML Charpignon, ER Duralde, S Jain, ... BMJ innovations 7 (1), 231, 2020 | 19 | 2020 |
| Implementing novel, flexible, and powerful survey designs in R Shiny AR Kaufman PloS one 15 (4), e0232424, 2020 | 19 | 2020 |
| The ideologies of organized interests and amicus curiae briefs: Large-scale, social network imputation of ideal points S Abi-Hassan, JM Box-Steffensmeier, DP Christenson, AR Kaufman, ... Political Analysis 31 (3), 396-413, 2023 | 18 | 2023 |
| Measuring the content of presidential policy making: Applying text analysis to executive branch directives AR Kaufman Presidential Studies Quarterly 50 (1), 90-106, 2020 | 16 | 2020 |
| Heuristic Projection: Why Interest Group Cues May Fail to Help Citizens Hold Politicians Accountable DE Broockman, AR Kaufman, GS Lenz British Journal of Political Science 54 (1), 69-87, 2024 | 15* | 2024 |
| TikTok's recommendations skewed towards Republican content during the 2024 US presidential race H Ibrahim, HSD Jang, N Aldahoul, AR Kaufman, T Rahwan, Y Zaki arXiv preprint arXiv:2501.17831, 2025 | 10 | 2025 |
| Presidential policymaking, 1877–2020 AR Kaufman, JC Rogowski Political Science Research and Methods 12 (4), 687-705, 2024 | 10 | 2024 |
| Large Language Models are often politically extreme, usually ideologically inconsistent, and persuasive even in informational contexts N Aldahoul, H Ibrahim, M Varvello, A Kaufman, T Rahwan, Y Zaki arXiv preprint arXiv:2505.04171, 2025 | 8 | 2025 |
| Diarization of legal proceedings. Identifying and transcribing judicial speech from recorded court audio J Tumminia, A Kuznecov, S Tsilerides, I Weinstein, B McFee, M Picheny, ... arXiv preprint arXiv:2104.01304, 2021 | 7 | 2021 |
Melissa L SandsLondon School of EconomicsVerified email at lse.ac.uk
