| A review on global sensitivity analysis methods B Iooss, P Lemaître Uncertainty management in simulation-optimization of complex systems, 101-122, 2015 | 513 | 2015 |
| 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 | 218 | 2008 |
| 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 | 211 | 2009 |
| 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 | 102 | 2013 |
| 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 | 100 | 2002 |
| 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 | 99 | 2013 |
| Global sensitivity analysis of stochastic computer models with joint metamodels A Marrel, B Iooss, S Da Veiga, M Ribatet Statistics and Computing 22 (3), 833-847, 2012 | 97 | 2012 |
| 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 (1), 17-31, 2008 | 90 | 2008 |
| Analyse de sensibilité et exploration de modèles: application aux sciences de la nature et de l'environnement R Faivre, B Iooss, S Mahévas, D Makowski, H Monod Editions Quae, 2016 | 88 | 2016 |
| Open TURNS: An industrial software for uncertainty quantification in simulation M Baudin, A Dutfoy, B Iooss, AL Popelin arXiv preprint arXiv:1501.05242, 2015 | 82 | 2015 |
| Global sensitivity analysis of computer models with functional inputs B Iooss, M Ribatet Reliability Engineering & System Safety 94 (7), 1194-1204, 2009 | 78 | 2009 |
| Controlled stratification for quantile estimation C Cannamela, J Garnier, B Iooss The Annals of Applied Statistics 2 (4), 1554-1580, 2008 | 76 | 2008 |
| Response surfaces and sensitivity analyses for an environmental model of dose calculations B Iooss, F Van Dorpe, N Devictor Reliability Engineering & System Safety 91 (10-11), 1241-1251, 2006 | 74 | 2006 |
| 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 | 73 | 2011 |
| Sensitivity: sensitivity analysis G Pujol, B Iooss, A Janon R package version 1, 2008 | 71 | 2008 |
| Numerical studies of the metamodel fitting and validation processes B Iooss, L Boussouf, V Feuillard, A Marrel arXiv preprint arXiv:1001.1049, 2010 | 69 | 2010 |
| 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 | 64 | 2014 |
| Latin hypercube sampling with inequality constraints M Petelet, B Iooss, O Asserin, A Loredo AStA Advances in Statistical Analysis 94 (4), 325-339, 2010 | 63 | 2010 |
| Revue sur l'analyse de sensibilité globale de modèles numériques B Iooss | 51 | 2011 |
| A Monte Carlo approach to nuclear model parameter uncertainties propagation CDS Jean, G Noguere, B Habert, B Iooss Nuclear science and engineering 161 (3), 363-370, 2009 | 45 | 2009 |
