| Predictive models for forecasting hourly urban water demand M Herrera, L Torgo, J Izquierdo, Perez-Garcia Journal of Hydrology 387, 141-150, 2010 | 571 | 2010 |
| Survey of computational intelligence as basis to big flood management: challenges, research directions and future work F Fotovatikhah, M Herrera, S Shamshirband, K Chau, ... Engineering Applications of Computational Fluid Mechanics 12 (1), 411-437, 2018 | 369 | 2018 |
| A review of current and future weather data for building simulation M Herrera, S Natarajan, DA Coley, T Kershaw, AP Ramallo-González, ... Building Services Engineering Research and Technology 38 (5), 602-627, 2017 | 235 | 2017 |
| Hybrid regression model for near real-time urban water demand forecasting BM Brentan, E Luvizotto Jr, M Herrera, J Izquierdo, R Pérez-García Journal of Computational and Applied Mathematics 309, 532-541, 2017 | 233 | 2017 |
| A graph-theoretic framework for assessing the resilience of sectorised water distribution networks M Herrera, E Abraham, I Stoianov Water Resources Management 30 (5), 1685-1699, 2016 | 213 | 2016 |
| Battle of the attack detection algorithms: Disclosing cyber attacks on water distribution networks R Taormina, S Galelli, NO Tippenhauer, E Salomons, A Ostfeld, ... Journal of Water Resources Planning and Management 144 (8), 04018048, 2018 | 210 | 2018 |
| The influence of relative humidity on adaptive thermal comfort M Vellei, M Herrera, D Fosas, S Natarajan Building and Environment 124, 171-185, 2017 | 170 | 2017 |
| Mitigation versus adaptation: Does insulating dwellings increase overheating risk? D Fosas, DA Coley, S Natarajan, M Herrera, MF de Pando, ... Building and Environment 143, 740-759, 2018 | 130 | 2018 |
| Multi-Agent Systems and Complex Networks: Review and Applications in Systems Engineering M Herrera, M Pérez-Hernández, A Kumar Parlikad, J Izquierdo Processes 8 (3), 312, 2020 | 118 | 2020 |
| Improved performance of PSO with self-adaptive parameters for computing the optimal design of water supply systems I Montalvo, J Izquierdo, R Pérez-García, M Herrera Engineering Applications of Artificial Intelligence 23 (5), 727-735, 2010 | 110 | 2010 |
| An approach to water supply clusters by semi-supervised learning M Herrera, S Canu, A Karatzoglou, R Pérez-García, J Izquierdo Proceedings of International Environmental Modelling and Software Society …, 2010 | 105 | 2010 |
| Applications of Graph Spectral Techniques to Water Distribution Network Management A di Nardo, C Giudicianni, R Greco, M Herrera, GF Santonastaso Water 10 (1), 45, 2018 | 93 | 2018 |
| Location of buried plastic pipes using multi-agent support based on GPR images D Ayala-Cabrera, M Herrera, J Izquierdo, R Pérez-García Journal of Applied Geophysics 75 (4), 679-686, 2011 | 92 | 2011 |
| Zero-net energy management for the monitoring and control of dynamically-partitioned smart water systems C Giudicianni, M Herrera, A di Nardo, A Carravetta, HM Ramos, ... Journal of Cleaner Production 252, 119745, 2020 | 87 | 2020 |
| Water Distribution System Computer‐Aided Design by Agent Swarm Optimization I Montalvo, J Izquierdo, R Pérez‐García, M Herrera Computer‐Aided Civil and Infrastructure Engineering 29 (6), 433-448, 2014 | 86 | 2014 |
| GPR-Based Water Leak Models in Water Distribution Systems D Ayala-Cabrera, M Herrera, J Izquierdo, SJ Ocaña-Levario, ... Sensors 13 (12), 15912-15936, 2013 | 84 | 2013 |
| Division of water supply systems into district metered areas using a multi-agent based approach J Izquierdo, M Herrera, I Montalvo, R Pérez-García Software and Data Technologies, 167-180, 2011 | 81 | 2011 |
| Multi-agent adaptive boosting on semi-supervised water supply clusters M Herrera, J Izquierdo, R Pérez-García, I Montalvo Advances in Engineering Software 50, 131-136, 2012 | 70 | 2012 |
| Topological Placement of Quality Sensors in Water-Distribution Networks without the Recourse to Hydraulic Modeling C Giudicianni, M Herrera, A Di Nardo, R Greco, E Creaco, A Scala Journal of Water Resources Planning and Management 146 (6), 04020030, 2020 | 65 | 2020 |
| Metamodel-assisted optimization based on multiple kernel regression for mixed variables M Herrera, A Guglielmetti, M Xiao, R Filomeno Coelho Structural and Multidisciplinary Optimization, 1-13, 2014 | 63 | 2014 |
Joaquín IzquierdoEmeritus Professor, Universitat Politècnica de ValènciaVerified email at upv.es
