| Sensitivity analysis of environmental models: A systematic review with practical workflow F Pianosi, K Beven, J Freer, JW Hall, J Rougier, DB Stephenson, ... Environmental Modelling & Software 79, 214-232, 2016 | 1405 | 2016 |
| A Matlab toolbox for global sensitivity analysis F Pianosi, F Sarrazin, T Wagener Environmental Modelling & Software 70, 80-85, 2015 | 656 | 2015 |
| A simple and efficient method for global sensitivity analysis based on cumulative distribution functions F Pianosi, T Wagener Environmental Modelling & Software 67, 1-11, 2015 | 459 | 2015 |
| Global Sensitivity Analysis of environmental models: Convergence and validation F Sarrazin, F Pianosi, T Wagener Environmental Modelling & Software 79, 135-152, 2016 | 350 | 2016 |
| Water reservoir control under economic, social and environmental constraints A Castelletti, F Pianosi, R Soncini-Sessa Automatica 44 (6), 1595-1607, 2008 | 255 | 2008 |
| Curses, tradeoffs, and scalable management: Advancing evolutionary multiobjective direct policy search to improve water reservoir operations M Giuliani, A Castelletti, F Pianosi, E Mason, PM Reed Journal of Water Resources Planning and Management 142 (2), 04015050, 2016 | 237 | 2016 |
| Value of long‐term streamflow forecasts to reservoir operations for water supply in snow‐dominated river catchments D Anghileri, N Voisin, A Castelletti, F Pianosi, B Nijssen, DP Lettenmaier Water Resources Research 52 (6), 4209-4225, 2016 | 206 | 2016 |
| Comparison of variance-based and moment-independent global sensitivity analysis approaches by application to the SWAT model FK Zadeh, J Nossent, F Sarrazin, F Pianosi, A Van Griensven, T Wagener, ... Environmental modelling & software 91, 210-222, 2017 | 141 | 2017 |
| Quantifying the importance of spatial resolution and other factors through global sensitivity analysis of a flood inundation model J Thomas Steven Savage, F Pianosi, P Bates, J Freer, T Wagener Water Resources Research 52 (11), 9146-9163, 2016 | 132 | 2016 |
| A multiobjective reinforcement learning approach to water resources systems operation: Pareto frontier approximation in a single run A Castelletti, F Pianosi, M Restelli Water Resources Research 49 (6), 3476-3486, 2013 | 128 | 2013 |
| Distribution-based sensitivity analysis from a generic input-output sample F Pianosi, T Wagener Environmental Modelling & Software 108, 197-207, 2018 | 118 | 2018 |
| Event‐based classification for global study of river flood generating processes L Stein, F Pianosi, R Woods Hydrological Processes 34 (7), 1514-1529, 2020 | 114 | 2020 |
| What has Global Sensitivity Analysis ever done for us? A systematic review to support scientific advancement and to inform policy-making in earth system modelling T Wagener, F Pianosi Earth-science reviews 194, 1-18, 2019 | 95 | 2019 |
| A large-scale simulation model to assess karstic groundwater recharge over Europe and the Mediterranean A Hartmann, T Gleeson, R Rosolem, F Pianosi, Y Wada, T Wagener Geoscientific Model Development 8 (6), 1729-1746, 2015 | 93 | 2015 |
| An argument-driven classification and comparison of reservoir operation optimization methods B Dobson, T Wagener, F Pianosi Advances in Water Resources 128, 74-86, 2019 | 92 | 2019 |
| Optimal operation of the multireservoir system in the seine river basin using deterministic and ensemble forecasts A Ficchì, L Raso, D Dorchies, F Pianosi, PO Malaterre, PJ Van Overloop, ... Journal of Water Resources Planning and Management 142 (1), 05015005, 2016 | 92 | 2016 |
| How climate change and unplanned urban sprawl bring more landslides U Ozturk, E Bozzolan, EA Holcombe, R Shukla, F Pianosi, T Wagener Nature 608 (7922), 262-265, 2022 | 83 | 2022 |
| Trend detection in seasonal data: from hydrology to water resources D Anghileri, F Pianosi, R Soncini-Sessa Journal of Hydrology 511, 171-179, 2014 | 81 | 2014 |
| Understanding the time‐varying importance of different uncertainty sources in hydrological modelling using global sensitivity analysis F Pianosi, T Wagener Hydrological Processes 30 (22), 3991-4003, 2016 | 78 | 2016 |
| How do climate and catchment attributes influence flood generating processes? A large‐sample study for 671 catchments across the contiguous USA L Stein, MP Clark, WJM Knoben, F Pianosi, RA Woods Water Resources Research 57 (4), e2020WR028300, 2021 | 77 | 2021 |
