Global optimization of higher order moments in portfolio selection D Maringer, P Parpas Journal of Global optimization 43, 219-230, 2009 | 137 | 2009 |

Demonstrating demand response from water distribution system through pump scheduling R Menke, E Abraham, P Parpas, I Stoianov Applied Energy 170, 377-387, 2016 | 120 | 2016 |

Control of water distribution networks with dynamic DMA topology using strictly feasible sequential convex programming R Wright, E Abraham, P Parpas, I Stoianov Water Resources Research 51 (12), 9925-9941, 2015 | 90 | 2015 |

Adaptive water distribution networks with dynamically reconfigurable topology R Wright, I Stoianov, P Parpas, K Henderson, J King Journal of Hydroinformatics 16 (6), 1280-1301, 2014 | 87 | 2014 |

An approximate dynamic programming framework for modeling global climate policy under decision-dependent uncertainty M Webster, N Santen, P Parpas Computational Management Science 9, 339-362, 2012 | 66 | 2012 |

Importance sampling in stochastic programming: A Markov chain Monte Carlo approach P Parpas, B Ustun, M Webster, QK Tran INFORMS Journal on Computing 27 (2), 358-377, 2015 | 55 | 2015 |

Exploring optimal pump scheduling in water distribution networks with branch and bound methods R Menke, E Abraham, P Parpas, I Stoianov Water Resources Management 30, 5333-5349, 2016 | 54 | 2016 |

A stochastic multiscale model for electricity generation capacity expansion P Parpas, M Webster European Journal of Operational Research 232 (2), 359-374, 2014 | 50 | 2014 |

An algorithm for the global optimization of a class of continuous minimax problems P Parpas, B Rustem Journal of Optimization Theory and Applications 141 (2), 461-473, 2009 | 44 | 2009 |

Extending the envelope of demand response provision though variable speed pumps R Menke, E Abraham, P Parpas, I Stoianov Procedia Engineering 186, 584-591, 2017 | 38 | 2017 |

Robust portfolio optimization: a conic programming approach K Ye, P Parpas, B Rustem Computational Optimization and Applications 52, 463-481, 2012 | 37 | 2012 |

Approximation of system components for pump scheduling optimisation R Menke, E Abraham, P Parpas, I Stoianov Procedia Engineering 119, 1059-1068, 2015 | 36 | 2015 |

Linearly constrained global optimization and stochastic differential equations P Parpas, B Rustem, EN Pistikopoulos Journal of Global Optimization 36, 191-217, 2006 | 35 | 2006 |

MAGMA: Multilevel accelerated gradient mirror descent algorithm for large-scale convex composite minimization V Hovhannisyan, P Parpas, S Zafeiriou SIAM Journal on Imaging Sciences 9 (4), 1829-1857, 2016 | 34 | 2016 |

Optimized control of pressure reducing valves in water distribution networks with dynamic topology R Wright, E Abraham, P Parpas, I Stoianov Procedia Engineering 119, 1003-1011, 2015 | 31 | 2015 |

A feasibility study of host-level contention detection by guest virtual machines G Casale, C Ragusa, P Parpas 2013 IEEE 5th international conference on cloud computing technology and …, 2013 | 29 | 2013 |

Global optimization of the scenario generation and portfolio selection problems P Parpas, B Rustem International Conference on Computational Science and Its Applications, 908-917, 2006 | 29 | 2006 |

Parameter estimation for the McKean-Vlasov stochastic differential equation L Sharrock, N Kantas, P Parpas, GA Pavliotis arXiv preprint arXiv:2106.13751, 2021 | 28 | 2021 |

Dynamic topology in water distribution networks R Wright, I Stoianov, P Parpas Procedia Engineering 70, 1735-1744, 2014 | 26 | 2014 |

Computational assessment of nested Benders and augmented Lagrangian decomposition for mean-variance multistage stochastic problems P Parpas, B Rustem INFORMS Journal on Computing 19 (2), 239-247, 2007 | 25 | 2007 |