Parallel ordinary kriging interpolation incorporating automatic variogram fitting L Pesquer, A Cortés, X Pons Computers & geosciences 37 (4), 464-473, 2011 | 63 | 2011 |

A distributed diffusion method for dynamic load balancing on parallel computers E Luque, A Ripoll, A Cortes, T Margalef Proceedings Euromicro Workshop on Parallel and Distributed Processing, 43-50, 1995 | 49 | 1995 |

Wildland fire growth prediction method based on Multiple Overlapping Solution G Bianchini, M Denham, A Cortés, T Margalef, E Luque Journal of Computational Science 1 (4), 229-237, 2010 | 48 | 2010 |

Applying a dynamic data driven genetic algorithm to improve forest fire spread prediction M Denham, A Cortés, T Margalef, E Luque Computational Science–ICCS 2008, 36-45, 2008 | 47 | 2008 |

Dynamic Data-Driven Genetic Algorithm for Forest Fire Spread Prediction M Denham, K Wendt, G Bianchini, A Cortés, T Margalef Journal of Computational Science, 2012 | 44 | 2012 |

Clustering and reassignment-based mapping strategy for message-passing architectures MA Senar, A Ripoll, A Cortés, E Luque Journal of systems architecture 48 (8-10), 267-283, 2003 | 43* | 2003 |

An asynchronous and iterative load balancing algorithm for discrete load model A Cortés, A Ripoll, F Cedó, MA Senar, E Luque Journal of Parallel and Distributed Computing 62 (12), 1729-1746, 2002 | 41 | 2002 |

Performance comparison of dynamic load-balancing strategies for distributed computing A Cortes, A Ripoll, MA Senar, E Luque System Sciences, 1999. HICSS-32. Proceedings of the 32nd Annual Hawaii …, 1999 | 39 | 1999 |

Enhancing wildland fire prediction on cluster systems applying evolutionary optimization techniques B Abdalhaq, A Cortés, T Margalef, E Luque Future Generation Computer Systems 21 (1), 61-67, 2005 | 38 | 2005 |

Reducing fall risk with combined motor and cognitive training in elderly fallers F Barban, R Annicchiarico, M Melideo, A Federici, MG Lombardi, S Giuli, ... Brain sciences 7 (2), 19, 2017 | 34 | 2017 |

Injecting dynamic real-time data into a DDDAS for forest fire behavior prediction R Rodríguez, A Cortés, T Margalef Computational Science–ICCS 2009, 489-499, 2009 | 31 | 2009 |

A data-driven model for large wildfire behaviour prediction in Europe D Rodriguez-Aseretto, D de Rigo, M Di Leo, A Cortés, ... Procedia Computer Science 18, 1861-1870, 2013 | 29 | 2013 |

Knowledge-guided genetic algorithm for input parameter optimisation in environmental modelling K Wendt, A Cortés, T Margalef Procedia Computer Science 1 (1), 1367-1375, 2010 | 24 | 2010 |

S 2 F 2 M–Statistical System for Forest Fire Management G Bianchini, A Cortés, T Margalef, E Luque Computational Science–ICCS 2005, 427-434, 2005 | 24 | 2005 |

Wind field uncertainty in forest fire propagation prediction G Sanjuan, C Brun, T Margalef, A Cortés Procedia Computer Science 29, 1535-1545, 2014 | 23 | 2014 |

Computational steering strategy to calibrate input variables in a dynamic data driven genetic algorithm for forest fire spread prediction M Denham, A Cortés, T Margalef Computational Science–ICCS 2009, 479-488, 2009 | 22 | 2009 |

On the performance of nearest-neighbors load balancing algorithms in parallel systems A Cortés, A Ripoll, MA Senar, P Pons, E Luque Proceedings of the Seventh Euromicro Workshop on Parallel and Distributed …, 1999 | 22 | 1999 |

Relieving the effects of uncertainty in forest fire spread prediction by hybrid mpi-openmp parallel strategies T Artés, A Cencerrado, A Cortés, T Margalef Procedia Computer Science 18, 2278-2287, 2013 | 21 | 2013 |

Improved prediction methods for Wildfires using High Performance Computing: A comparison G Bianchini, A Cortés, T Margalef, E Luque Computational Science–ICCS 2006, 539-546, 2006 | 21 | 2006 |

Dynamic load balancing strategy for scalable parallel systems A Cortés, A Ripoll, MA Senar, E Luque Advances in Parallel Computing 12, 735-738, 1998 | 21 | 1998 |