| An efficient curing policy for epidemics on graphs K Drakopoulos, A Ozdaglar, J Tsitsiklis 53rd IEEE Conference on Decision and Control, 4447-4454, 2014 | 119 | 2014 |
| Efficient and targeted COVID-19 border testing via reinforcement learning H Bastani, K Drakopoulos, V Gupta, I Vlachogiannis, ... Nature 599 (7883), 108-113, 2021 | 114 | 2021 |
| Optimal signaling of content accuracy: Engagement vs. misinformation O Candogan, K Drakopoulos Operations Research 68 (2), 497-515, 2020 | 108 | 2020 |
| Persuading customers to buy early: The value of personalized information provisioning K Drakopoulos, S Jain, R Randhawa Management Science 67 (2), 828-853, 2021 | 58 | 2021 |
| When Is a Network Epidemic Hard to Eliminate? K Drakopoulos, A Ozdaglar, JN Tsitsiklis Mathematics of Operations Research, 2016 | 55 | 2016 |
| On learning with finite memory K Drakopoulos, A Ozdaglar, JN Tsitsiklis IEEE Transactions on Information Theory 59 (10), 6859-6872, 2013 | 51 | 2013 |
| Estimating social network structure and propagation dynamics for an infectious disease L Kim, M Abramson, K Drakopoulos, S Kolitz, A Ozdaglar Social Computing, Behavioral-Cultural Modeling and Prediction: 7th …, 2014 | 25 | 2014 |
| Why perfect tests may not be worth waiting for: Information as a commodity K Drakopoulos, RS Randhawa Management Science 67 (11), 6678-6693, 2021 | 22 | 2021 |
| Information inundation on platforms and implications G Allon, K Drakopoulos, V Manshadi Proceedings of the 2019 ACM Conference on Economics and Computation, 555-556, 2019 | 22 | 2019 |
| Disclosing information in strategic experimentation K Bimpikis, K Drakopoulos, S Ehsani Stanford University, Graduate School of Business, 2018 | 21 | 2018 |
| Innovations for shape analysis M Breuß, A Bruckstein, PA Maragos Springer, 2013 | 13 | 2013 |
| Interpretable operations research for high-stakes decisions: Designing the Greek COVID-19 testing system H Bastani, K Drakopoulos, V Gupta, J Vlachogiannis, ... INFORMS Journal on Applied Analytics 52 (5), 398-411, 2022 | 11 | 2022 |
| Network effects in contagion processes: Identification and control K Drakopoulos, F Zheng Columbia Business School Research Paper, 2017 | 11 | 2017 |
| A lower bound on the performance of dynamic curing policies for epidemics on graphs K Drakopoulos, A Ozdaglar, JN Tsitsiklis 2015 54th IEEE Conference on Decision and Control (CDC), 3560-3567, 2015 | 10 | 2015 |
| Active contours on graphs: Multiscale morphology and graphcuts K Drakopoulos, P Maragos IEEE Journal of Selected Topics in Signal Processing 6 (7), 780-794, 2012 | 10 | 2012 |
| Providing data samples for free K Drakopoulos, A Makhdoumi Management Science 69 (6), 3536-3560, 2023 | 7 | 2023 |
| Theoretical analysis of active contours on graphs C Sakaridis, K Drakopoulos, P Maragos SIAM Journal on Imaging Sciences 10 (3), 1475-1510, 2017 | 6 | 2017 |
| Optimal signaling of content accuracy: Engagement vs O Candogan, K Drakopoulos misinformation. Working paper, 2017 | 4 | 2017 |
| Optimal Signaling of Content Accuracy: Likes vs. Fake News O Candogan, K Drakopoulos SSRN Electronic Journal, 2017 | 3 | 2017 |
| A lower bound on the performance of dynamic curing policies for epidemics on graphs. 978 (2015), 3560–3567 K Drakopoulos, A Ozdaglar, JN Tsitsiklis arXiv preprint arXiv:1510.06055, 2015 | 3 | 2015 |
John TsitsiklisProfessor of Electrical Engineering, MITVerified email at mit.edu
