| Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, ... Proceedings of the National Academy of Sciences 119 (15), e2113561119, 2022 | 335* | 2022 |
| Ensemble forecasts of coronavirus disease 2019 (COVID-19) in the US EL Ray, N Wattanachit, J Niemi, AH Kanji, K House, EY Cramer, J Bracher, ... MedRXiv, 2020.08. 19.20177493, 2020 | 224 | 2020 |
| Integrated multimodal artificial intelligence framework for healthcare applications LR Soenksen, Y Ma, C Zeng, L Boussioux, K Villalobos Carballo, L Na, ... NPJ digital medicine 5 (1), 149, 2022 | 169* | 2022 |
| Where to locate COVID‐19 mass vaccination facilities? D Bertsimas, V Digalakis Jr, A Jacquillat, ML Li, A Previero Naval Research Logistics (NRL) 69 (2), 179-200, 2022 | 146* | 2022 |
| Forecasting COVID-19 and analyzing the effect of government interventions ML Li, HT Bouardi, OS Lami, TA Trikalinos, N Trichakis, D Bertsimas Operations Research, 2022 | 135* | 2022 |
| From predictions to prescriptions: A data-driven response to COVID-19 D Bertsimas, L Boussioux, R Cory-Wright, A Delarue, V Digalakis, ... Health care management science, 1-20, 2021 | 124* | 2021 |
| The United States COVID-19 forecast hub dataset EY Cramer, Y Huang, Y Wang, EL Ray, M Cornell, J Bracher, A Brennen, ... Scientific data 9 (1), 462, 2022 | 115 | 2022 |
| A pre-registered short-term forecasting study of COVID-19 in Germany and Poland during the second wave J Bracher, D Wolffram, J Deuschel, K Görgen, JL Ketterer, A Ullrich, ... Nature communications 12 (1), 5173, 2021 | 91* | 2021 |
| Benchmarking large language models on cmexam-a comprehensive chinese medical exam dataset J Liu, P Zhou, Y Hua, D Chong, Z Tian, A Liu, H Wang, C You, Z Guo, ... Advances in Neural Information Processing Systems 36, 52430-52452, 2023 | 78 | 2023 |
| Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations K Sherratt, H Gruson, H Johnson, R Niehus, B Prasse, F Sandmann, ... Elife 12, e81916, 2023 | 69 | 2023 |
| Experimental evaluation of individualized treatment rules K Imai, ML Li Journal of the American Statistical Association 118 (541), 242-256, 2023 | 53 | 2023 |
| Selecting children with vesicoureteral reflux who are most likely to benefit from antibiotic prophylaxis: application of machine learning to RIVUR D Bertsimas, M Li, C Estrada, C Nelson, HH Scott Wang The Journal of Urology 205 (4), 1170-1179, 2021 | 31* | 2021 |
| Scalable holistic linear regression D Bertsimas, ML Li Operations Research Letters 48 (3), 203-208, 2020 | 29 | 2020 |
| Pricing for heterogeneous products: Analytics for ticket reselling M Alley, M Biggs, R Hariss, C Herrmann, ML Li, G Perakis Manufacturing & Service Operations Management 25 (2), 409-426, 2023 | 23 | 2023 |
| National and subnational short-term forecasting of COVID-19 in Germany and Poland during early 2021 J Bracher, D Wolffram, J Deuschel, K Görgen, JL Ketterer, A Ullrich, ... Communications medicine 2 (1), 136, 2022 | 20 | 2022 |
| Targeted workup after initial febrile urinary tract infection: using a novel machine learning model to identify children most likely to benefit from voiding cystourethrogram Advanced Analytics Group of Pediatric Urology and ORC Personalized Medicine ... The Journal of Urology 202 (1), 144-152, 2019 | 20 | 2019 |
| Statistical inference for heterogeneous treatment effects discovered by generic machine learning in randomized experiments K Imai, ML Li Journal of Business & Economic Statistics 43 (1), 256-268, 2025 | 19 | 2025 |
| Fast exact matrix completion: A unified optimization framework for matrix completion D Bertsimas, ML Li Journal of Machine Learning Research 21 (231), 1-43, 2020 | 17* | 2020 |
| Prescriptive analytics for reducing 30-day hospital readmissions after general surgery D Bertsimas, ML Li, IC Paschalidis, T Wang PloS one 15 (9), e0238118, 2020 | 13 | 2020 |
| Distributionally robust causal inference with observational data D Bertsimas, K Imai, ML Li arXiv preprint arXiv:2210.08326, 2022 | 12 | 2022 |
Dimitris BertsimasBoeing Professor of Operations Research, MITE-mail megerősítve itt: mit.edu