| The QC relaxation: A theoretical and computational study on optimal power flow C Coffrin, HL Hijazi, P Van Hentenryck IEEE Transactions on Power Systems 31 (4), 3008-3018, 2015 | 424 | 2015 |
| A linear-programming approximation of AC power flows C Coffrin, P Van Hentenryck INFORMS Journal on Computing 26 (4), 718-734, 2014 | 395 | 2014 |
| Visualizing patterns of student engagement and performance in MOOCs C Coffrin, L Corrin, P de Barba, G Kennedy Proceedings of the fourth international conference on learning analytics and …, 2014 | 339 | 2014 |
| PowerModels.jl: An Open-Source Framework for Exploring Power Flow Formulations C Coffrin, R Bent, K Sundar, Y Ng, M Lubin 2018 Power Systems Computation Conference (PSCC), 1-8, 2018 | 326 | 2018 |
| Quantum algorithm implementations for beginners A Adedoyin, J Ambrosiano, P Anisimov, W Casper, G Chennupati, ... arXiv preprint arXiv:1804.03719, 2018 | 323* | 2018 |
| The power grid library for benchmarking ac optimal power flow algorithms S Babaeinejadsarookolaee, A Birchfield, RD Christie, C Coffrin, ... arXiv preprint arXiv:1908.02788, 2019 | 269 | 2019 |
| Convex quadratic relaxations for mixed-integer nonlinear programs in power systems H Hijazi, C Coffrin, PV Hentenryck Mathematical Programming Computation 9, 321-367, 2017 | 252 | 2017 |
| NESTA, the NICTA energy system test case archive C Coffrin, D Gordon, P Scott arXiv preprint arXiv:1411.0359, 2014 | 202 | 2014 |
| Battle of the water networks II A Marchi, E Salomons, A Ostfeld, Z Kapelan, AR Simpson, AC Zecchin, ... Journal of water resources planning and management 140 (7), 04014009, 2014 | 166 | 2014 |
| Predicting success: how learners' prior knowledge, skills and activities predict MOOC performance G Kennedy, C Coffrin, P De Barba, L Corrin Proceedings of the fifth international conference on learning analytics and …, 2015 | 161 | 2015 |
| Strategic planning for disaster recovery with stochastic last mile distribution P Van Hentenryck, R Bent, C Coffrin International conference on integration of artificial intelligence (AI) and …, 2010 | 147 | 2010 |
| Strengthening the SDP relaxation of AC power flows with convex envelopes, bound tightening, and valid inequalities C Coffrin, HL Hijazi, P Van Hentenryck IEEE Transactions on Power Systems 32 (5), 3549-3558, 2016 | 139* | 2016 |
| Approximating line losses and apparent power in AC power flow linearizations C Coffrin, P Van Hentenryck, R Bent 2012 IEEE power and energy society general meeting, 1-8, 2012 | 96 | 2012 |
| Vehicle routing for the last mile of power system restoration P Van Hentenryck, C Coffrin, R Bent Proceedings of the 17th Power Systems Computation Conference (PSCC’11 …, 2011 | 94 | 2011 |
| Strengthening convex relaxations with bound tightening for power network optimization C Coffrin, HL Hijazi, P Van Hentenryck International conference on principles and practice of constraint …, 2015 | 89 | 2015 |
| Juniper: An open-source nonlinear branch-and-bound solver in Julia O Kröger, C Coffrin, H Hijazi, H Nagarajan Integration of Constraint Programming, Artificial Intelligence, and …, 2018 | 88 | 2018 |
| Transmission system restoration with co-optimization of repairs, load pickups, and generation dispatch C Coffrin, P Van Hentenryck International Journal of Electrical Power & Energy Systems 72, 144-154, 2015 | 87 | 2015 |
| PowerModelsDistribution. jl: An open-source framework for exploring distribution power flow formulations DM Fobes, S Claeys, F Geth, C Coffrin Electric Power Systems Research 189, 106664, 2020 | 81 | 2020 |
| Quantum optimization: Potential, challenges, and the path forward A Abbas, A Ambainis, B Augustino, A Bärtschi, H Buhrman, C Coffrin, ... arXiv preprint arXiv:2312.02279, 2023 | 80 | 2023 |
| Transmission system repair and restoration P Van Hentenryck, C Coffrin Mathematical Programming 151, 347-373, 2015 | 74 | 2015 |
Pascal Van HentenryckGeorgia Institute of TechnologyVerified email at isye.gatech.edu