| 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 | 242 | 2022 |
| Predicting bike usage for new york city’s bike sharing system D Singhvi, S Singhvi, PI Frazier, SG Henderson, E O'Mahony, DB Shmoys, ... Workshops at the twenty-ninth AAAI conference on artificial intelligence, 2015 | 165 | 2015 |
| 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 | 108 | 2022 |
| Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the US EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, ... Medrxiv, 2021.02. 03.21250974, 2021 | 92 | 2021 |
| Leveraging comparables for new product sales forecasting L Baardman, I Levin, G Perakis, D Singhvi Production and Operations Management 27 (12), 2340-2343, 2018 | 89 | 2018 |
| Learning personalized product recommendations with customer disengagement H Bastani, P Harsha, G Perakis, D Singhvi Manufacturing & Service Operations Management 24 (4), 2010-2028, 2022 | 53* | 2022 |
| COVID‐19: A multiwave SIR‐based model for learning waves G Perakis, D Singhvi, O Skali Lami, L Thayaparan Production and Operations Management 32 (5), 1471-1489, 2023 | 43* | 2023 |
| COVID-19: Prediction, prevalence, and the operations of vaccine allocation A Bennouna, J Joseph, D Nze-Ndong, G Perakis, D Singhvi, OS Lami, ... Manufacturing & Service Operations Management 25 (3), 1013-1032, 2023 | 21* | 2023 |
| The role of optimization in some recent advances in data-driven decision-making L Baardman, R Cristian, G Perakis, D Singhvi, O Skali Lami, ... Mathematical Programming 200 (1), 1-35, 2023 | 19 | 2023 |
| Dynamic pricing with unknown nonparametric demand and limited price changes G Perakis, D Singhvi Operations Research 72 (6), 2726-2744, 2024 | 17 | 2024 |
| Leveraging the newsvendor for inventory distribution at a large fashion e-retailer with depth and capacity constraints G Perakis, D Singhvi, Y Spantidakis Available at SSRN 3632459, 2020 | 9 | 2020 |
| Deep Policy Iteration with Integer Programming for Inventory Management P Harsha, A Jagmohan, J Kalagnanam, B Quanz, D Singhvi Manufacturing & Service Operations Management, 2025 | 8* | 2025 |
| Ancillary services in targeted advertising: From prediction to prescription A Borenstein, A Mangal, G Perakis, S Poninghaus, D Singhvi, ... Manufacturing & Service Operations Management 25 (4), 1285-1303, 2023 | 8* | 2023 |
| A data-driven approach to improve artisans’ productivity in distributed supply chains D Singhvi, S Singhvi, X Zhang Proceedings of the 25th ACM Conference on Economics and Computation, 244-245, 2024 | 3 | 2024 |
| Design of Resale Platforms I Morgenstern, D Saban, D Singhvi, S Singhvi Available at SSRN, 2024 | 3 | 2024 |
| Online Learning with Sample Selection Bias D Singhvi, S Singhvi Available at SSRN, 2022 | 3 | 2022 |
| Xstrees: A tree sampling framework for interpretable tree ensembles G Perakis, D Singhvi, O Skali-Lami Available at SSRN, 2019 | 3* | 2019 |
| First Delivery Gaps: A Supply Chain Lever to Reduce Product Returns in Online Retail G Perakis, D Singhvi Available at SSRN 3360554, 2019 | 2 | 2019 |
| Increasing Parents' Engagement on Ed-Tech Platforms: Evidence from the Field N Goyal, AA Okuno, D Singhvi, S Singhvi Available at SSRN 4918175, 2024 | | 2024 |
| Analytics and Operations to Improve Welfare in Distributed Artisanal Supply Chains D Singhvi, S Singhvi Responsible and Sustainable Operations: The New Frontier, 107-118, 2024 | | 2024 |
Georgia PerakisWilliam F. Pounds Professor of Operations Management and Operations ResearchVerified email at mit.edu
