| Review of surrogate modeling in water resources S Razavi, BA Tolson, DH Burn Water Resources Research 48 (7), 2012 | 1110 | 2012 |
| The future of sensitivity analysis: an essential discipline for systems modeling and policy support S Razavi, A Jakeman, A Saltelli, C Prieur, B Iooss, E Borgonovo, ... Environmental Modelling & Software 137, 104954, 2021 | 575 | 2021 |
| The challenge of unprecedented floods and droughts in risk management H Kreibich, AF Van Loon, K Schröter, PJ Ward, M Mazzoleni, N Sairam, ... Nature 608 (7921), 80-86, 2022 | 509 | 2022 |
| What do we mean by sensitivity analysis? The need for comprehensive characterization of “global” sensitivity in E arth and E nvironmental systems models S Razavi, HV Gupta Water Resources Research 51 (5), 3070-3092, 2015 | 419 | 2015 |
| Introductory overview: Optimization using evolutionary algorithms and other metaheuristics HR Maier, S Razavi, Z Kapelan, LS Matott, J Kasprzyk, BA Tolson Environmental modelling & software 114, 195-213, 2019 | 357 | 2019 |
| Progressive Latin Hypercube Sampling: An efficient approach for robust sampling-based analysis of environmental models R Sheikholeslami, S Razavi Environmental modelling & software 93, 109-126, 2017 | 292 | 2017 |
| A new framework for comprehensive, robust, and efficient global sensitivity analysis: 1. Theory S Razavi, HV Gupta Water Resources Research 52 (1), 423-439, 2016 | 257 | 2016 |
| Deep learning, explained: Fundamentals, explainability, and bridgeability to process-based modelling S Razavi Environmental Modelling & Software 144, 105159, 2021 | 217 | 2021 |
| Introductory overview of identifiability analysis: A guide to evaluating whether you have the right type of data for your modeling purpose JHA Guillaume, JD Jakeman, S Marsili-Libelli, M Asher, P Brunner, ... Environmental Modelling & Software 119, 418-432, 2019 | 211 | 2019 |
| A new formulation for feedforward neural networks S Razavi, BA Tolson IEEE Transactions on neural networks 22 (10), 1588-1598, 2011 | 181 | 2011 |
| Lo Piano S Razavi, A Jakeman, A Saltelli, C Prieur, B Iooss, E Borgonovo, ... S., Iwanaga, T., Becker, W., Tarantola, S., Guillaume, JHA, Jakeman, J …, 2021 | 168 | 2021 |
| Representation and improved parameterization of reservoir operation in hydrological and land-surface models F Yassin, S Razavi, M Elshamy, B Davison, G Sapriza-Azuri, H Wheater Hydrology and Earth System Sciences 23 (9), 3735-3764, 2019 | 168 | 2019 |
| A new framework for comprehensive, robust, and efficient global sensitivity analysis: 2. Application S Razavi, HV Gupta Water Resources Research 52 (1), 440-455, 2016 | 167 | 2016 |
| Numerical assessment of metamodelling strategies in computationally intensive optimization S Razavi, BA Tolson, DH Burn Environmental Modelling & Software 34, 67-86, 2012 | 161 | 2012 |
| Evaluation of Integrated Multisatellite Retrievals for GPM (IMERG) over southern Canada against ground precipitation observations: A preliminary assessment ZE Asong, S Razavi, HS Wheater, JS Wong Journal of hydrometeorology 18 (4), 1033-1050, 2017 | 156 | 2017 |
| VARS-TOOL: A toolbox for comprehensive, efficient, and robust sensitivity and uncertainty analysis S Razavi, R Sheikholeslami, HV Gupta, A Haghnegahdar Environmental modelling & software 112, 95-107, 2019 | 121 | 2019 |
| Historical drought patterns over Canada and their teleconnections with large-scale climate signals ZE Asong, HS Wheater, B Bonsal, S Razavi, S Kurkute Hydrology and Earth System Sciences 22 (6), 3105-3124, 2018 | 118 | 2018 |
| Exploding the myths: An introduction to artificial neural networks for prediction and forecasting HR Maier, S Galelli, S Razavi, A Castelletti, A Rizzoli, IN Athanasiadis, ... Environmental modelling & software 167, 105776, 2023 | 117 | 2023 |
| Inter-comparison of daily precipitation products for large-scale hydro-climatic applications over Canada JS Wong, S Razavi, BR Bonsal, HS Wheater, ZE Asong Hydrology and Earth System Sciences 21 (4), 2163-2185, 2017 | 116 | 2017 |
| Socio-technical scales in socio-environmental modeling: Managing a system-of-systems modeling approach T Iwanaga, HH Wang, SH Hamilton, V Grimm, TE Koralewski, A Salado, ... Environmental Modelling & Software 135, 104885, 2021 | 105 | 2021 |
Howard WheaterCanada Excellence Research Chair LaureateVerified email at usask.ca
