Artificial neural network (ANN) based modeling for karstic groundwater level simulation IC Trichakis, IK Nikolos, GP Karatzas Water Resources Management 25, 1143-1152, 2011 | 120 | 2011 |
A spatio-temporal hybrid neural network-Kriging model for groundwater level simulation E Tapoglou, GP Karatzas, IC Trichakis, EA Varouchakis Journal of hydrology 519, 3193-3203, 2014 | 112 | 2014 |
Modeling the saltwater intrusion phenomenon in coastal aquifers–A case study in the industrial zone of Herakleio in Crete MA Papadopoulou, GP Karatzas, MA Koukadaki, Y Trichakis Global NEST J 7 (2), 197-203, 2005 | 71* | 2005 |
Optimal selection of artificial neural network parameters for the prediction of a karstic aquifer's response IC Trichakis, IK Nikolos, GP Karatzas Hydrological Processes: An International Journal 23 (20), 2956-2969, 2009 | 69 | 2009 |
Groundwater-level forecasting under climate change scenarios using an artificial neural network trained with particle swarm optimization E Tapoglou, IC Trichakis, Z Dokou, IK Nikolos, GP Karatzas Hydrological Sciences Journal 59 (6), 1225-1239, 2014 | 60 | 2014 |
Comparison of bootstrap confidence intervals for an ANN model of a karstic aquifer response I Trichakis, I Nikolos, GP Karatzas Hydrological Processes 25 (18), 2827-2836, 2011 | 34 | 2011 |
Towards a pan-European integrated groundwater and surface water model: development and applications I Trichakis, P Burek, A De Roo, A Pistocchi Environmental Processes 4, 81-93, 2017 | 17 | 2017 |
The water-energy-food-ecosystem nexus in the mediterranean: current issues and future challenges A De Roo, I Trichakis, B Bisselink, E Gelati, A Pistocchi, B Gawlik Frontiers in Climate 3, 782553, 2021 | 16 | 2021 |
Hydraulic head uncertainty estimations of a complex artificial intelligence model using multiple methodologies E Tapoglou, EA Varouchakis, IC Trichakis, GP Karatzas Journal of Hydroinformatics 22 (1), 205-218, 2020 | 12 | 2020 |
Artificial neural networks and multiple linear regression for filling in missing daily rainfall data I Papailiou, F Spyropoulos, I Trichakis, GP Karatzas Water 14 (18), 2892, 2022 | 11 | 2022 |
Modeling groundwater nitrate contamination using artificial neural networks C Stylianoudaki, I Trichakis, GP Karatzas Water 14 (7), 1173, 2022 | 9 | 2022 |
A narrative-driven role-playing game for raising flood awareness F Spyropoulos, I Trichakis, AE Vozinaki Sustainability 14 (1), 554, 2022 | 8 | 2022 |
An integrated method to study and plan aquifer recharge EA Varouchakis, E Kalaitzaki, I Trichakis, GA Corzo Perez, GP Karatzas Hydrology Research 54 (1), 1-13, 2023 | 6 | 2023 |
Development of an integrated groundwater and surface water model in a pan-European scale I Trichakis, P Burek, A de Roo, A Pistocchi 2nd EWaS International Conference. Chania, Greece, 2016 | 5 | 2016 |
Large scale hydro-economic modelling for policy support A de Roo, P Burek, F Bouraoui, A Reynaud, A Udias, A Pistocchi, ... EGU General Assembly Conference Abstracts, 2951, 2014 | 5 | 2014 |
Values and Preferences for Domestic Water Use: A Study from the Transboundary River Basin of Mékrou (West Africa) V Markantonis, C Dondeynaz, D Latinopoulos, K Bithas, I Trichakis, ... Water 10 (9), 1232, 2018 | 4 | 2018 |
Groundwater level forecasting using an artificial neural network trained with particle swarm optimization E Tapoglou, IC Trichakis, Z Dokou, GP Karatzas Proc. Geophysical Research, 2012 | 4 | 2012 |
Remote sensing for detecting freshly manured fields OD Pedrayes, R Usamentiaga, I Trichakis, F Bouraoui Ecological Informatics 75, 102006, 2023 | 3 | 2023 |
Flood risk assessment and flow modeling of the Stalos stream area C Goumas, I Trichakis, AI Vozinaki, GP Karatzas Journal of Hydroinformatics 24 (3), 677-696, 2022 | 3 | 2022 |
Temporal and Spatial prediction of groundwater levels using Artificial Neural Networks, Fuzzy logic and Kriging interpolation. E Tapoglou, GP Karatzas, IC Trichakis, EA Varouchakis EGU General Assembly Conference Abstracts, 773, 2014 | 3 | 2014 |