| Machine learning algorithms for the forecasting of wastewater quality indicators F Granata, S Papirio, G Esposito, R Gargano, G De Marinis Water 9 (2), 105, 2017 | 203 | 2017 |
| Support vector regression for rainfall-runoff modeling in urban drainage: A comparison with the EPA’s storm water management model F Granata, R Gargano, G De Marinis Water 8 (3), 69, 2016 | 171 | 2016 |
| Reliability as tool for hydraulic network planning R Gargano, D Pianese Journal of Hydraulic Engineering 126 (5), 354-364, 2000 | 140 | 2000 |
| Simultaneous nitrification, denitrification and phosphorus removal in a continuous-flow moving bed biofilm reactor alternating microaerobic and aerobic conditions F Iannacone, F Di Capua, F Granata, R Gargano, G Esposito Bioresource technology 310, 123453, 2020 | 105 | 2020 |
| Hydraulics of circular drop manholes F Granata, G de Marinis, R Gargano, WH Hager Journal of Irrigation and Drainage Engineering 137 (2), 102-111, 2011 | 95 | 2011 |
| Artificial intelligence based approaches to evaluate actual evapotranspiration in wetlands F Granata, R Gargano, G de Marinis Science of the total environment 703, 135653, 2020 | 75 | 2020 |
| Shortcut nitrification-denitrification and biological phosphorus removal in acetate-and ethanol-fed moving bed biofilm reactors under microaerobic/aerobic conditions F Iannacone, F Di Capua, F Granata, R Gargano, G Esposito Bioresource Technology 330, 124958, 2021 | 72 | 2021 |
| Effect of carbon-to-nitrogen ratio on simultaneous nitrification denitrification and phosphorus removal in a microaerobic moving bed biofilm reactor F Iannacone, F Di Capua, F Granata, R Gargano, F Pirozzi, G Esposito Journal of environmental management 250, 109518, 2019 | 65 | 2019 |
| Peak residential water demand C Tricarico, G De Marinis, R Gargano, A Leopardi Proceedings of the Institution of Civil Engineers-Water Management 160 (2 …, 2007 | 57 | 2007 |
| Machine learning models for spring discharge forecasting F Granata, M Saroli, G de Marinis, R Gargano Geofluids 2018, 1-13, 2018 | 47 | 2018 |
| Probabilistic models for the peak residential water demand R Gargano, C Tricarico, F Granata, S Santopietro, G De Marinis Water 9 (6), 417, 2017 | 45 | 2017 |
| Air-water flows in circular drop manholes F Granata, G de Marinis, R Gargano Urban Water Journal 12 (6), 477-487, 2015 | 43 | 2015 |
| Supercritical flow across sewer manholes R Gargano, WH Hager Journal of Hydraulic Engineering 128 (11), 1014-1017, 2002 | 42 | 2002 |
| Forecasting of extreme storm tide events using NARX neural network-based models F Di Nunno, F Granata, R Gargano, G de Marinis Atmosphere 12 (4), 512, 2021 | 41 | 2021 |
| A novel equation for determining the suction stress of unsaturated soils from the water retention curve based on wetted surface area in pores R Greco, R Gargano Water Resources Research 51 (8), 6143-6155, 2015 | 40 | 2015 |
| Tide prediction in the Venice Lagoon using nonlinear autoregressive exogenous (NARX) neural network F Di Nunno, G de Marinis, R Gargano, F Granata Water 13 (9), 1173, 2021 | 38 | 2021 |
| Flow-improving elements in circular drop manholes F Granata, G de Marinis, R Gargano Journal of Hydraulic Research 52 (3), 347-355, 2014 | 38 | 2014 |
| Performance of partitioned water distribution networks under spatial-temporal variability of water demand A Di Nardo, M Di Natale, R Gargano, C Giudicianni, R Greco, ... Environmental modelling & software 101, 128-136, 2018 | 35 | 2018 |
| Economic level of reliability for the rehabilitation of hydraulic networks C Tricarico, R Gargano, Z Kapelan, D Savic, G De Marinis Civil engineering and environmental systems 23 (3), 191-207, 2006 | 33 | 2006 |
| Prediction of spring flows using nonlinear autoregressive exogenous (NARX) neural network models F Di Nunno, F Granata, R Gargano, G de Marinis Environmental Monitoring and Assessment 193 (6), 350, 2021 | 32 | 2021 |
