| A review on global sensitivity analysis methods B Iooss, P Lemaître Uncertainty management in simulation-optimization of complex systems …, 2015 | 1432 | 2015 |
| 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 | 418 | 2021 |
| Calculations of Sobol indices for the Gaussian process metamodel A Marrel, B Iooss, B Laurent, O Roustant Reliability Engineering & System Safety 94 (3), 742-751, 2009 | 409 | 2009 |
| An efficient methodology for modeling complex computer codes with Gaussian processes A Marrel, B Iooss, F Van Dorpe, E Volkova Computational Statistics & Data Analysis 52 (10), 4731-4744, 2008 | 318 | 2008 |
| Open TURNS: An industrial software for uncertainty quantification in simulation M Baudin, A Dutfoy, B Iooss, AL Popelin arXiv preprint arXiv:1501.05242, 2015 | 313 | 2015 |
| Numerical studies of space-filling designs: optimization of Latin Hypercube Samples and subprojection properties G Damblin, M Couplet, B Iooss Journal of Simulation 7 (4), 276-289, 2013 | 201 | 2013 |
| Introduction to sensitivity analysis B Iooss, A Saltelli Handbook of uncertainty quantification, 1103-1122, 2017 | 195 | 2017 |
| Global sensitivity analysis of stochastic computer models with joint metamodels A Marrel, B Iooss, S Da Veiga, M Ribatet Statistics and Computing 22, 833-847, 2012 | 167 | 2012 |
| Derivative-based global sensitivity measures: General links with Sobol’indices and numerical tests M Lamboni, B Iooss, AL Popelin, F Gamboa Mathematics and Computers in Simulation 87, 45-54, 2013 | 152 | 2013 |
| Shapley effects for sensitivity analysis with correlated inputs: comparisons with Sobol'indices, numerical estimation and applications B Iooss, C Prieur International Journal for Uncertainty Quantification 9 (5), 2019 | 145 | 2019 |
| Numerical simulation of transit-time ultrasonic flowmeters: uncertainties due to flow profile and fluid turbulence B Iooss, C Lhuillier, H Jeanneau Ultrasonics 40 (9), 1009-1015, 2002 | 142 | 2002 |
| Revue sur l’analyse de sensibilité globale de modèles numériques B Iooss Journal de la Société Française de Statistique 152 (1), 3-25, 2011 | 138 | 2011 |
| Analyse de sensibilité et exploration de modèles: application aux sciences de la nature et de l'environnement R Faivre, D Makowski, S Mahévas, B Iooss Editions Quae, 2013 | 131 | 2013 |
| Global sensitivity analysis of computer models with functional inputs B Iooss, M Ribatet Reliability Engineering & System Safety 94 (7), 1194-1204, 2009 | 121 | 2009 |
| Sensitivity: global sensitivity analysis of model outputs B Iooss, A Janon, G Pujol, B Broto, K Boumhaout, S Da Veiga, T Delage, ... R package version 1 (0), 2021 | 119 | 2021 |
| Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review S Cheng, C Quilodrán-Casas, S Ouala, A Farchi, C Liu, P Tandeo, ... IEEE/CAA Journal of Automatica Sinica 10 (6), 1361-1387, 2023 | 118 | 2023 |
| Latin hypercube sampling with inequality constraints M Petelet, B Iooss, O Asserin, A Loredo AStA Advances in Statistical Analysis 94, 325-339, 2010 | 114 | 2010 |
| Global sensitivity analysis for a numerical model of radionuclide migration from the RRC “Kurchatov Institute” radwaste disposal site E Volkova, B Iooss, F Van Dorpe Stochastic Environmental Research and Risk Assessment 22, 17-31, 2008 | 113 | 2008 |
| A Bayesian approach for global sensitivity analysis of (multifidelity) computer codes L Le Gratiet, C Cannamela, B Iooss SIAM/ASA Journal on Uncertainty Quantification 2 (1), 336-363, 2014 | 112 | 2014 |
| Global sensitivity analysis for models with spatially dependent outputs A Marrel, B Iooss, M Jullien, B Laurent, E Volkova Environmetrics 22 (3), 383-397, 2011 | 109 | 2011 |
Fabrice GamboaIMTEmail verificata su math.univ-toulouse.fr