| Unrepresentative big surveys significantly overestimated US vaccine uptake VC Bradley, S Kuriwaki, M Isakov, D Sejdinovic, XL Meng, S Flaxman Nature 600 (7890), 695-700, 2021 | 299 | 2021 |
| The use of differential privacy for census data and its impact on redistricting: The case of the 2020 US Census CT Kenny, S Kuriwaki, C McCartan, ETR Rosenman, T Simko, K Imai Science Advances 7 (41), eabk3283, 2021 | 178 | 2021 |
| Wealth, Slaveownership, and Fighting for the Confederacy: An Empirical Study of the American Civil War AB Hall, C Huff, S Kuriwaki American Political Science Review 113 (3), 658-673, 2019 | 84 | 2019 |
| Congressional representation: Accountability from the constituent's perspective S Ansolabehere, S Kuriwaki American Journal of Political Science 66 (1), 123-139, 2022 | 76 | 2022 |
| Cumulative CCES Common Content S Kuriwaki URL: https://doi.org/10.7910/DVN/II2DB6, 2023 | 65* | 2023 |
| Widespread partisan gerrymandering mostly cancels nationally, but reduces electoral competition CT Kenny, C McCartan, T Simko, S Kuriwaki, K Imai Proceedings of the National Academy of Sciences 120 (25), e2217322120, 2023 | 57 | 2023 |
| Simulated redistricting plans for the analysis and evaluation of redistricting in the United States C McCartan, CT Kenny, T Simko, G Garcia III, K Wang, M Wu, S Kuriwaki, ... Scientific Data 9 (1), 689, 2022 | 50 | 2022 |
| The geography of racially polarized voting: Calibrating surveys at the district level S Kuriwaki, S Ansolabehere, A Dagonel, S Yamauchi American Political Science Review 118 (2), 922-939, 2024 | 43 | 2024 |
| Ticket Splitting in a Nationalized Era S Kuriwaki Journal of Politics 88 (1), 47-62, 2026 | 36* | 2026 |
| Evaluating bias and noise induced by the US Census Bureau’s privacy protection methods CT Kenny, C McCartan, S Kuriwaki, T Simko, K Imai Science Advances 10 (18), eadl2524, 2024 | 33 | 2024 |
| The impact of the US Census Disclosure Avoidance System on redistricting and voting rights analysis CT Kenny, S Kuriwaki, C McCartan, E Rosenman, T Simko, K Imai arXiv preprint arXiv:2105.14197, 2021 | 26 | 2021 |
| Sparse Multilevel Regression (and Poststratification (sMRP)) M Goplerud, S Kuriwaki, M Ratkovic, D Tingley Unpublished manuscript, Harvard University 723, 2018 | 26 | 2018 |
| Towards principled unskewing: Viewing 2020 election polls through a corrective lens from 2016 M Isakov, S Kuriwaki Harvard Data Science Review 2 (4), 69, 2020 | 24 | 2020 |
| Comment: The essential role of policy evaluation for the 2020 census disclosure avoidance system CT Kenny, S Kuriwaki, C McCartan, ETR Rosenman, T Simko, K Imai arXiv preprint arXiv:2210.08383, 2022 | 13 | 2022 |
| Winning Elections with Unpopular Policies: Valence Advantage and Single-Party Dominance in Japan S Kuriwaki, Y Horiuchi, DM Smith Quarterly Journal of Political Science 20 (4), 439-476, 2025 | 12* | 2025 |
| Cast vote records: A database of ballots from the 2020 US Election S Kuriwaki, M Reece, S Baltz, A Conevska, JR Loffredo, C Mutlu, ... Scientific Data 11 (1), 1304, 2024 | 8 | 2024 |
| The swing voter paradox: Electoral politics in a nationalized era S Kuriwaki Harvard University, 2021 | 7 | 2021 |
| Privacy violations in election results S Kuriwaki, JB Lewis, M Morse Science Advances 11 (11), eadt1512, 2025 | 6* | 2025 |
| Synthetic area weighting for measuring public opinion in small areas S Kuriwaki, S Yamauchi arXiv preprint arXiv:2105.05829, 2021 | 5 | 2021 |
| The Administration of Cast Vote Records in US States S Kuriwaki url: https://bit. ly/3dxc0TD, 2020 | 5 | 2020 |
