| Web technologies for environmental Big Data C Vitolo, Y Elkhatib, D Reusser, CJA Macleod, W Buytaert Environmental Modelling & Software 63, 185-198, 2015 | 303 | 2015 |
| Heatwaves, droughts, and fires: Exploring compound and cascading dry hazards at the pan-European scale SJ Sutanto, C Vitolo, C Di Napoli, M D’Andrea, HAJ Van Lanen Environment international 134, 105276, 2020 | 258 | 2020 |
| Learning Bayesian networks from big data with greedy search: computational complexity and efficient implementation M Scutari, C Vitolo, A Tucker Statistics and Computing 29, 1095-1108, 2019 | 139 | 2019 |
| ERA5-based global meteorological wildfire danger maps C Vitolo, F Di Giuseppe, C Barnard, R Coughlan, J San-Miguel-Ayanz, ... Scientific data 7 (1), 216, 2020 | 132 | 2020 |
| User-driven design of decision support systems for polycentric environmental resources management Z Zulkafli, K Perez, C Vitolo, W Buytaert, T Karpouzoglou, A Dewulf, ... Environmental Modelling & Software 88, 58-73, 2017 | 106 | 2017 |
| Using R in hydrology: a review of recent developments and future directions LJ Slater, G Thirel, S Harrigan, O Delaigue, A Hurley, A Khouakhi, ... Hydrology and Earth System Sciences 2019, 1-33, 2019 | 92 | 2019 |
| Modeling air pollution, climate, and health data using Bayesian Networks: A case study of the English regions C Vitolo, M Scutari, M Ghalaieny, A Tucker, A Russell Earth and Space Science 5 (4), 76-88, 2018 | 87 | 2018 |
| Global warming is shifting the relationships between fire weather and realized fire-induced CO2 emissions in Europe J Carnicer, A Alegria, C Giannakopoulos, F Di Giuseppe, A Karali, ... Scientific Reports 12 (1), 10365, 2022 | 86 | 2022 |
| A 1980–2018 global fire danger re-analysis dataset for the Canadian Fire Weather Indices C Vitolo, F Di Giuseppe, B Krzeminski, J San-Miguel-Ayanz Scientific data 6 (1), 1-10, 2019 | 69 | 2019 |
| Mapping combined wildfire and heat stress hazards to improve evidence-based decision making C Vitolo, C Di Napoli, F Di Giuseppe, HL Cloke, F Pappenberger Environment international 127, 21-34, 2019 | 67 | 2019 |
| Fire Weather Index: the skill provided by the European Centre for Medium-Range Weather Forecasts ensemble prediction system F Di Giuseppe, C Vitolo, B Krzeminski, C Barnard, P Maciel, J San-Miguel Natural Hazards and Earth System Sciences 20 (8), 2365-2378, 2020 | 65 | 2020 |
| A spatial survey of environmental indicators for Kazakhstan: an examination of current conditions and future needs A Russell, M Ghalaieny, B Gazdiyeva, S Zhumabayeva, A Kurmanbayeva, ... International journal of environmental research 12, 735-748, 2018 | 60 | 2018 |
| Using machine learning to predict fire‐ignition occurrences from lightning forecasts R Coughlan, F Di Giuseppe, C Vitolo, C Barnard, P Lopez, M Drusch Meteorological applications 28 (1), e1973, 2021 | 46 | 2021 |
| Anticipating cascading effects of extreme precipitation with pathway schemes-Three case studies from Europe S Schauwecker, E Gascón, S Park, V Ruiz-Villanueva, M Schwarb, ... Environment international 127, 291-304, 2019 | 38 | 2019 |
| ERA5-based global meteorological wildfire danger maps, Sci. Data, 7, 216 C Vitolo, F Di Giuseppe, C Barnard, R Coughlan, J San-Miguel-Ayanz, ... | 32 | 2020 |
| Extreme rainfall in the Mediterranean C De Luca, P Furcolo, F Rossi, P Villani, C Vitolo Proceedings of the International Workshop on Advances in Statistical …, 2010 | 29 | 2010 |
| A cloud based tool for knowledge exchange on local scale flood risk ME Wilkinson, E Mackay, PF Quinn, M Stutter, KJ Beven, CJA MacLeod, ... Journal of Environmental Management 161, 38-50, 2015 | 28 | 2015 |
| ESA-ECMWF Report on recent progress and research directions in machine learning for Earth System observation and prediction R Schneider, M Bonavita, A Geer, R Arcucci, P Dueben, C Vitolo, ... npj Climate and Atmospheric Science 5 (1), 51, 2022 | 19 | 2022 |
| Global to regional scale evaluation of adaptation measures to reduce the future water gap M Straatsma, P Droogers, J Hunink, W Berendrecht, J Buitink, W Buytaert, ... Environmental Modelling & Software 124, 104578, 2020 | 19 | 2020 |
| Caliver: An R package for CALIbration and VERification of forest fire gridded model outputs C Vitolo, F Di Giuseppe, M D’Andrea PLOS ONE 13 (1), 2018 | 19 | 2018 |
Wouter BuytaertProfessor in Hydrology and Water Resources, Imperial College London確認したメール アドレス: imperial.ac.uk