| Vulnerability assessment of the South-Lebanese coast: A GIS-based approach Y Ghoussein, M Mhawej, A Jaffal, A Fadel, R El Hourany, G Faour Ocean & Coastal Management 158, 56-63, 2018 | 40 | 2018 |
| Estimation of secondary phytoplankton pigments from satellite observations using self‐organizing maps (SOMs) R El Hourany, M Abboud‐abi Saab, G Faour, O Aumont, M Crépon, ... Journal of Geophysical Research: Oceans 124 (2), 1357-1378, 2019 | 32 | 2019 |
| Phytoplankton diversity in the Mediterranean Sea from satellite data using self‐organizing maps R El Hourany, M Abboud‐Abi Saab, G Faour, C Mejia, M Crépon, S Thiria Journal of Geophysical Research: Oceans 124 (8), 5827-5843, 2019 | 31 | 2019 |
| Spatio-temporal variability of the phytoplankton biomass in the Levantine basin between 2002 and 2015 using MODIS products R El Hourany, A Fadel, E Gemayel, M Abboud-Abi Saab, G Faour Oceanologia 59 (2), 153-165, 2017 | 24 | 2017 |
| Evidencing the impact of climate change on the phytoplankton community of the Mediterranean Sea through a bioregionalization approach R El Hourany, C Mejia, G Faour, M Crépon, S Thiria Journal of Geophysical Research: Oceans 126 (4), 2021 | 13 | 2021 |
| Inversion of phytoplankton pigment vertical profiles from satellite data using machine learning A Puissant, R El Hourany, AA Charantonis, C Bowler, S Thiria Remote Sensing 13 (8), 1445, 2021 | 7 | 2021 |
| Estimation of phytoplankton pigments from ocean-color satellite observations in the Senegalo–Mauritanian region by using an advanced neural classifier K Yala, ND Niang, J Brajard, C Mejia, M Ouattara, R El Hourany, ... Ocean Science 16 (2), 513-533, 2020 | 3 | 2020 |
| Surface circulation properties in the eastern Mediterranean emphasized using machine learning methods G Baaklini, R El Hourany, M Fakhri, J Brajard, L Issa, G Fifani, L Mortier Ocean Science 18 (5), 1491-1505, 2022 | 1 | 2022 |
| A Neural-based Bio-regionalization of the Mediterranean Sea using Satellite and Argo-Float Records. R El Hourany, C Mejia, G Faour, S Thiria, M Crépon Proceedings of the 10th International Conference on Climate Informatics, 120-127, 2020 | 1 | 2020 |
| Predicting global distributions of eukaryotic plankton communities from satellite data H Kaneko, H Endo, N Henry, C Berney, F Mahé, J Poulain, K Labadie, ... ISME communications 3 (1), 101, 2023 | | 2023 |
| Linking satellites to genes with machine learning to estimate major phytoplankton groups from space R El Hourany, JP Karlusich, L Zinger, H Loisel, M Levy, C Bowler | | 2022 |
| Global observation of plankton communities from space H Kaneko, H Endo, N Henry, C Berney, F Mahé, J Poulain, K Labadie, ... bioRxiv, 2022.09. 23.508961, 2022 | | 2022 |
| Modification of phytoplankton group diversity over submesoscale fronts C Haëck, M Levy, L Bopp, R El Hourany EGU General Assembly Conference Abstracts, EGU21-4178, 2021 | | 2021 |
| Inversion of Phytoplankton Pigment Vertical Profiles from Satellite Data Using Machine Learning. Remote Sens. 2021, 13, 1445 A Puissant, R El Hourany, AA Charantonis, C Bowler, S Thiria s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2021 | | 2021 |
| Connecting Satellites to Genes; a new machine learning approach to observe phytoplankton diversity in the global ocean R EL Hourany, J Pierella Karlusich, D Eveillard, G Kettani, M Levy, ... AGU Fall Meeting Abstracts 2020, OS023-0002, 2020 | | 2020 |
| Remote Sensing of Phytoplankton using Neural Network; from Global to Regional, from Pigment Composition to Bioregions R El Hourany Sorbonne Université, 2019 | | 2019 |
| Télédétection du phytoplancton par méthode neuronale: du global au régional, de la composition pigmentaire aux biorégions R El Hourany Sorbonne université, 2019 | | 2019 |
| Etude de la variabilité spatio-temporelle du phytoplancton à partir des pigments secondaires estimés par les observations satellitaires. R El Hourany, M Abboud-Abi Saab, G Faour, J Brajard, M Crépon, ... | | |
