| Algorithmic Fairness: Choices, Assumptions, and Definitions S Mitchell, E Potash, S Barocas, A D’Amour, K Lum Annual Review of Statistics and Its Application 8, 2021 | 711* | 2021 |
| Predictive modeling for public health: Preventing childhood lead poisoning E Potash, J Brew, A Loewi, S Majumdar, A Reece, J Walsh, E Rozier, ... Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015 | 61 | 2015 |
| Validation of a Machine Learning Model to Predict Childhood Lead Poisoning E Potash, R Ghani, J Walsh, E Jorgensen, C Lohff, N Prachand, ... JAMA network open 3 (9), e2012734-e2012734, 2020 | 36 | 2020 |
| How to estimate soil organic carbon stocks of agricultural fields? Perspectives using ex-ante evaluation E Potash, K Guan, A Margenot, DK Lee, E DeLucia, S Wang, C Jang Geoderma 411, 115693, 2022 | 17 | 2022 |
| An asymptotic for the representation of integers as sums of triangular numbers A Atanasov, R Bellovin, I Loughman-Pawelko, L Peskin, E Potash Involve, a Journal of Mathematics 1 (1), 111-121, 2008 | 7 | 2008 |
| A Bayesian Approach to Recreational Water Quality Model Validation and Comparison in the Presence of Measurement Error E Potash, S Steinschneider Water Resources Research 58 (1), e2021WR031115, 2022 | 6 | 2022 |
| Euclidean embeddings and Riemannian Bergman metrics E Potash The Journal of Geometric Analysis 26 (1), 499-528, 2016 | 6 | 2016 |
| Multi-site evaluation of stratified and balanced sampling of soil organic carbon stocks in agricultural fields E Potash, K Guan, AJ Margenot, DK Lee, A Boe, M Douglass, E Heaton, ... Geoderma 438, 116587, 2023 | 4 | 2023 |
| Randomization bias in field trials to evaluate targeting methods E Potash Economics Letters 167, 131-135, 2018 | 2 | 2018 |
