The impact of demand uncertainty on consumer subsidies for green technology adoption MC Cohen, R Lobel, G Perakis Management Science 62 (5), 1235-1258, 2016 | 527 | 2016 |
Regret in the newsvendor model with partial information G Perakis, G Roels Operations research 56 (1), 188-203, 2008 | 425 | 2008 |
The data-driven newsvendor problem: New bounds and insights R Levi, G Perakis, J Uichanco Operations Research 63 (6), 1294-1306, 2015 | 267 | 2015 |
The price of anarchy in supply chains: Quantifying the efficiency of price-only contracts G Perakis, G Roels Management Science 53 (8), 1249-1268, 2007 | 264 | 2007 |
A robust optimization approach to dynamic pricing and inventory control with no backorders E Adida, G Perakis Mathematical Programming 107, 97-129, 2006 | 204 | 2006 |
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 | 201 | 2022 |
Data analytics in operations management: A review VV Mišić, G Perakis Manufacturing & Service Operations Management 22 (1), 158-169, 2020 | 189 | 2020 |
Dynamic pricing: A learning approach D Bertsimas, G Perakis Mathematical and computational models for congestion charging, 45-79, 2006 | 176 | 2006 |
The impact of linear optimization on promotion planning MC Cohen, NHZ Leung, K Panchamgam, G Perakis, A Smith Operations Research 65 (2), 446-468, 2017 | 172 | 2017 |
The “price of anarchy” under nonlinear and asymmetric costs G Perakis Mathematics of Operations Research 32 (3), 614-628, 2007 | 165* | 2007 |
Competitive multi-period pricing for perishable products: A robust optimization approach G Perakis, A Sood Mathematical Programming 107, 295-335, 2006 | 147 | 2006 |
Robust controls for network revenue management G Perakis, G Roels Manufacturing & Service Operations Management 12 (1), 56-76, 2010 | 135 | 2010 |
Dynamic pricing and inventory control: Uncertainty and competition E Adida, G Perakis Operations Research 58 (2), 289-302, 2010 | 116 | 2010 |
Consumer subsidies with a strategic supplier: Commitment vs. flexibility J Chemama, MC Cohen, R Lobel, G Perakis Management Science 65 (2), 681-713, 2019 | 112 | 2019 |
Consumer choice model for forecasting demand and designing incentives for solar technology R Lobel, G Perakis MIT Sloan Research Paper, 2011 | 112 | 2011 |
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 | 90 | 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 | 84 | 2018 |
A data-driven approach to personalized bundle pricing and recommendation M Ettl, P Harsha, A Papush, G Perakis Manufacturing & Service Operations Management 22 (3), 461-480, 2020 | 83 | 2020 |
Solving asymmetric variational inequalities via convex optimization M Aghassi, D Bertsimas, G Perakis Operations Research Letters 34 (5), 481-490, 2006 | 78 | 2006 |
On the effectiveness of uniform subsidies in increasing market consumption R Levi, G Perakis, G Romero Management Science 63 (1), 40-57, 2017 | 74 | 2017 |