Dynamic modeling and control of supply chain systems: A review H Sarimveis, P Patrinos, CD Tarantilis, CT Kiranoudis Computers & operations research 35 (11), 3530-3561, 2008 | 444 | 2008 |

An accelerated dual gradient-projection algorithm for embedded linear model predictive control P Patrinos, A Bemporad IEEE Transactions on Automatic Control 59 (1), 18-33, 2013 | 179 | 2013 |

Time series sales forecasting for short shelf-life food products based on artificial neural networks and evolutionary computing P Doganis, A Alexandridis, P Patrinos, H Sarimveis Journal of Food Engineering 75 (2), 196-204, 2006 | 170 | 2006 |

A two-stage evolutionary algorithm for variable selection in the development of RBF neural network models A Alexandridis, P Patrinos, H Sarimveis, G Tsekouras Chemometrics and Intelligent Laboratory Systems 75 (2), 149-162, 2005 | 73 | 2005 |

Forward–backward quasi-Newton methods for nonsmooth optimization problems L Stella, A Themelis, P Patrinos Computational Optimization and Applications 67 (3), 443-487, 2017 | 61 | 2017 |

Stochastic MPC for real-time market-based optimal power dispatch P Patrinos, S Trimboli, A Bemporad 2011 50th IEEE Conference on Decision and Control and European Control …, 2011 | 59 | 2011 |

Simple and certifiable quadratic programming algorithms for embedded linear model predictive control A Bemporad, P Patrinos IFAC Proceedings Volumes 45 (17), 14-20, 2012 | 58 | 2012 |

Stochastic model predictive control for constrained discrete-time Markovian switching systems P Patrinos, P Sopasakis, H Sarimveis, A Bemporad Automatica 50 (10), 2504-2514, 2014 | 55 | 2014 |

Douglas-Rachford splitting: Complexity estimates and accelerated variants P Patrinos, L Stella, A Bemporad 53rd IEEE Conference on Decision and Control, 4234-4239, 2014 | 47 | 2014 |

A global piecewise smooth Newton method for fast large-scale model predictive control P Patrinos, P Sopasakis, H Sarimveis Automatica 47 (9), 2016-2022, 2011 | 42 | 2011 |

An accelerated dual gradient-projection algorithm for linear model predictive control P Patrinos, A Bemporad 2012 IEEE 51st IEEE Conference on Decision and Control (CDC), 662-667, 2012 | 41 | 2012 |

A new algorithm for solving convex parametric quadratic programs based on graphical derivatives of solution mappings P Patrinos, H Sarimveis Automatica 46 (9), 1405-1418, 2010 | 41 | 2010 |

Variable selection in nonlinear modeling based on RBF networks and evolutionary computation P Patrinos, A Alexandridis, K Ninos, H Sarimveis International journal of neural systems 20 (05), 365-379, 2010 | 40 | 2010 |

Stabilizing linear model predictive control under inexact numerical optimization M Rubagotti, P Patrinos, A Bemporad IEEE Transactions on Automatic Control 59 (6), 1660-1666, 2014 | 39 | 2014 |

Forward-backward envelope for the sum of two nonconvex functions: Further properties and nonmonotone linesearch algorithms A Themelis, L Stella, P Patrinos SIAM Journal on Optimization 28 (3), 2274-2303, 2018 | 37 | 2018 |

Asymmetric forward–backward–adjoint splitting for solving monotone inclusions involving three operators P Latafat, P Patrinos Computational Optimization and Applications 68 (1), 57-93, 2017 | 32 | 2017 |

Forward-backward truncated Newton methods for convex composite optimization P Patrinos, L Stella, A Bemporad arXiv preprint arXiv:1402.6655, 2014 | 32 | 2014 |

Proximal Newton methods for convex composite optimization P Patrinos, A Bemporad 52nd IEEE Conference on Decision and Control, 2358-2363, 2013 | 32 | 2013 |

Fixed-point constrained model predictive control of spacecraft attitude A Guiggiani, I Kolmanovsky, P Patrinos, A Bemporad 2015 American Control Conference (ACC), 2317-2322, 2015 | 31 | 2015 |

Convex parametric piecewise quadratic optimization: Theory and algorithms P Patrinos, H Sarimveis Automatica 47 (8), 1770-1777, 2011 | 27 | 2011 |