| Causal Rule Ensemble: Interpretable Discovery and Inference of Heterogeneous Treatment Effects FJ Bargagli-Stoffi, R Cadei, K Lee, F Dominici arXiv preprint arXiv:2009.09036, 2024 | 88 | 2024 |
| Simple Models in Complex Worlds: Occam’s Razor and Statistical Learning Theory FJ Bargagli Stoffi, G Cevolani, G Gnecco Minds and Machines 32 (1), 13-42, 2022 | 84 | 2022 |
| Heterogeneous treatment and spillover effects under clustered network interference FJ Bargagli-Stoffi, C Tortù, L Forastiere Annals of Applied Statistics 19 (1), 28-55, 2025 | 58* | 2025 |
| Heterogeneous causal effects with imperfect compliance: a Bayesian machine learning approach FJ Bargagli-Stoffi, K De-Witte, G Gnecco Annals of Applied Statistics 16 (3), 1986-2009, 2022 | 47* | 2022 |
| Supervised learning for the prediction of firm dynamics FJ Bargagli-Stoffi, J Niederreiter, M Riccaboni Data Science for Economics and Finance: Methodologies and Applications, 19-41, 2021 | 43 | 2021 |
| Exposure to unconventional oil and gas development and all-cause mortality in Medicare beneficiaries L Li, F Dominici, AJ Blomberg, FJ Bargagli-Stoffi, JD Schwartz, BA Coull, ... Nature Energy 7 (2), 177-185, 2022 | 37 | 2022 |
| Causal tree with instrumental variable: an extension of the causal tree framework to irregular assignment mechanisms FJ Bargagli Stoffi, G Gnecco International Journal of Data Science and Analytics 9 (3), 315-337, 2020 | 35 | 2020 |
| From controlled to undisciplined data: estimating causal effects in the era of data science using a potential outcome framework F Dominici, FJ Bargagli-Stoffi, F Mealli Harvard Data Science Review, 2022 | 33 | 2022 |
| Machine Learning for Zombie Hunting: Predicting Distress from Firms' Accounts and Missing Values Bargagli Stoffi, Falco J, F Incerti, M Riccaboni, A Rungi Industrial and Corporate Change, 2023 | 31* | 2023 |
| Environmental Burden of United States Data Centers in the Artificial Intelligence Era G Guidi, F Dominici, J Gilmour, K Butler, E Bell, S Delaney, ... arXiv preprint arXiv:2411.09786, 2024 | 30 | 2024 |
| Predicting choice behaviour in economic games using gaze data encoded as scanpath images SA Byrne, APF Reynolds, C Biliotti, FJ Bargagli-Stoffi, L Polonio, ... Scientific Reports 13 (1), 4722, 2023 | 19 | 2023 |
| Estimating heterogeneous causal effects in the presence of irregular assignment mechanisms FJ Bargagli Stoffi, G Gnecco 2018 IEEE 5th International Conference on Data Science and Advanced …, 2018 | 18 | 2018 |
| Confounder-dependent Bayesian mixture model: Characterizing heterogeneity of causal effects in air pollution epidemiology D Zorzetto, FJ Bargagli-Stoffi, A Canale, F Dominici Biometrics 80 (2), ujae025, 2024 | 14 | 2024 |
| Assessing sensitivity of machine learning predictions. a novel toolbox with an application to financial literacy FJ Bargagli-Stoffi, K De Beckker, JE Maldonado, K De Witte arXiv preprint arXiv:2102.04382, 2021 | 9* | 2021 |
| The environmental burden of the United States’ bitcoin mining boom G Guidi, F Dominici, N Steinsultz, G Dance, L Henneman, H Richardson, ... Nature Communications 16 (1), 2970, 2025 | 8 | 2025 |
| Air quality disparities mapper: An open-source web application for environmental justice E McFarlin*, FJ Bargagli-Stoffi*, E Castro, J Schwartz, F Dominici, H Amini Environmental Modelling & Software, 105881, 2024 | 7 | 2024 |
| Should Simplicity Be Always Preferred to Complexity in Supervised Machine Learning? FJ Bargagli-Stoffi, G Cevolani, G Gnecco International Conference on Machine Learning, Optimization, and Data Science …, 2020 | 6 | 2020 |
| Environmental justice implications of power plant emissions control policies: Heterogeneous causal effect estimation under bipartite network interference KL Chen, FJB Stoffi, RC Kim, RC Nethery arXiv preprint arXiv:2304.12500, 2023 | 4 | 2023 |
| What is essential is visible to the eye: Saliency in primary school ranking and its effect on academic achievements FX Ladant, J Hedou, P Sestito, FJ Bargagli-Stoffi arXiv preprint arXiv:2302.10026, 2023 | 4* | 2023 |
| Bayesian Nonparametrics for Principal Stratification with Continuous Post-Treatment Variables D Zorzetto, A Canale, F Mealli, F Dominici, FJ Bargagli-Stoffi arXiv preprint arXiv:2405.17669, 2024 | 3 | 2024 |
Francesca DominiciProfessor of BiostatisticsVerified email at hsph.harvard.edu
