| Parallel ordinary kriging interpolation incorporating automatic variogram fitting L Pesquer, A Cortés, X Pons Computers & geosciences 37 (4), 464-473, 2011 | 98 | 2011 |
| 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 | 78 | 2012 |
| Educación para la salud en la escuela C Carvajal, B Castellanos, A Cortés, A González, M Rodríguez, ... Pueblo y Educación, 163, 2000 | 74 | 2000 |
| 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 | 66 | 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 | 62 | 2008 |
| 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 | 54 | 1995 |
| 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 | 52 | 2005 |
| 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 | 50 | 2003 |
| 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 | 47 | 1999 |
| Failure to detect an association between the serotonin transporter gene and borderline personality disorder JC Pascual, J Soler, J Barrachina, MJ Campins, E Alvarez, V Pérez, ... Journal of psychiatric research 42 (1), 87-88, 2008 | 46 | 2008 |
| 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 | 45 | 2013 |
| 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 | 44 | 2002 |
| How to use mixed precision in ocean models: Exploring a potential reduction of numerical precision in NEMO 4.0 and ROMS 3.6 O Tintó Prims, MC Acosta, AM Moore, M Castrillo, K Serradell, A Cortés, ... Geoscientific Model Development 12 (7), 3135-3148, 2019 | 40 | 2019 |
| Wind field uncertainty in forest fire propagation prediction G Sanjuan, C Brun, T Margalef, A Cortés Procedia Computer Science 29, 1535-1545, 2014 | 38 | 2014 |
| Towards data-driven operational wildfire spread modeling: A report of the NSF-funded WIFIRE workshop M Gollner, A Trouve, I Altintas, J Block, R de Callafon, C Clements, ... | 37* | 2015 |
| 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 | 37 | 2009 |
| Time aware genetic algorithm for forest fire propagation prediction: exploiting multi‐core platforms T Artés, A Cencerrado, A Cortés, T Margalef Concurrency and Computation: Practice and Experience 29 (9), e3837, 2017 | 36 | 2017 |
| 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 | 34 | 2013 |
| Response time assessment in forest fire spread simulation: An integrated methodology for efficient exploitation of available prediction time A Cencerrado, A Cortés, T Margalef Environmental Modelling & Software 54, 153-164, 2014 | 32 | 2014 |
| Forest fire propagation prediction based on overlapping DDDAS forecasts T Artes, A Cardil, A Cortés, T Margalef, D Molina, L Pelegrín, J Ramírez Procedia Computer Science 51, 1623-1632, 2015 | 29 | 2015 |