| 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 | 120 | 2014 |
| 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 | 63 | 2014 |
| Hydrodynamic studies of floating structures: Comparison of wave-structure interaction modelling W Sheng, E Tapoglou, X Ma, CJ Taylor, RM Dorrell, DR Parsons, ... Ocean Engineering 249, 110878, 2022 | 49 | 2022 |
| Integrated use of satellite remote sensing, artificial neural networks, field spectroscopy, and GIS in estimating crucial soil parameters in terms of soil erosion DD Alexakis, E Tapoglou, AEK Vozinaki, IK Tsanis Remote Sensing 11 (9), 1106, 2019 | 48 | 2019 |
| Winter North Atlantic Oscillation impact on European precipitation and drought under climate change I Tsanis, E Tapoglou Theoretical and Applied Climatology 135, 323-330, 2019 | 39 | 2019 |
| Satellite data for the offshore renewable energy sector: synergies and innovation opportunities E Medina-Lopez, D McMillan, J Lazic, E Hart, S Zen, A Angeloudis, ... Remote Sensing of Environment 264, 112588, 2021 | 30 | 2021 |
| Climate change impact on the frequency of hydrometeorological extremes in the island of Crete E Tapoglou, AE Vozinaki, I Tsanis Water 11 (3), 587, 2019 | 26 | 2019 |
| Hydrometeorological impact of climate change in two Mediterranean basins AEK Vozinaki, E Tapoglou, IK Tsanis International Journal of River Basin Management 16 (2), 245-257, 2018 | 20 | 2018 |
| Time-domain implementation and analyses of multi-motion modes of floating structures W Sheng, E Tapoglou, X Ma, CJ Taylor, R Dorrell, DR Parsons, G Aggidis Journal of Marine Science and Engineering 10 (5), 662, 2022 | 17 | 2022 |
| Machine learning for satellite-based sea-state prediction in an offshore windfarm E Tapoglou, RM Forster, RM Dorrell, D Parsons Ocean Engineering 235, 109280, 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 |
| The EU blue economy report 2024 A Borriello, A Calvo Santos, L Codina López, L Feyen, N Gaborieau, ... | 6 | 2024 |
| Clean Energy Technology Observatory: Ocean Energy in the European Union–2022 Status Report on Technology Development, Trends, Value Chains and Markets E TAPOGLOU, A GEORGAKAKI, S LETOUT, A KUOKKANEN, ... | 6 | 2022 |
| 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 |
| Wave power resource dynamics for the period 1980-2021 in Atlantic Europe's Northwest seas IG Rizaev, RM Dorrell, CLG Oikonomou, E Tapoglou, C Hall, GA Aggidis, ... ISOPE International Ocean and Polar Engineering Conference, ISOPE-I-23-093, 2023 | 3 | 2023 |
| Uncertainty estimations in different components of a hybrid ANN–Fuzzy–Kriging model for water table level simulation E Tapoglou, EA Varouchakis, GP Karatzas HIC 2018, 13th International Conference on Hydroinformatics, 2042-2050, 2018 | 3 | 2018 |
| Comparison of a black-box model to a traditional numerical model for hydraulic head prediction. E Tapoglou, A Chatzakis, GP Karatzas | 3 | 2016 |
| 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 |
| Clean Energy Technology Observatory: Wind energy in the European Union-2023 Status Report on Technology Development, Trends, Value Chains and Markets E TAPOGLOU, J TATTINI, A SCHMITZ, A GEORGAKAKI, M DŁUGOSZ, ... | 2 | 2023 |
| Prévision du niveau des eaux souterraines dans les scénarios de changement climatique utilisant un réseau de neurones artificiels formé avec optimisation par essaim de particules E Tapoglou, IC Trichakis, Z Dokou, IK Nikolos, GP Karatzas Hydrol Sci J 59, 1225-1239, 2014 | 2 | 2014 |
George P. KaratzasProfessor, School of Chemical and Environmental Engineering, Technical University of Crete, GreeceDirección de correo verificada de tuc.gr
