Weak dependence J Dedecker, P Doukhan, G Lang, LR José Rafael, S Louhichi, C Prieur, ... Weak dependence: With examples and applications, 9-20, 2007 | 557* | 2007 |

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 | 296 | 2021 |

Asymptotic normality and efficiency of two Sobol index estimators A Janon, T Klein, A Lagnoux, M Nodet, C Prieur ESAIM: Probability and Statistics 18, 342-364, 2014 | 282 | 2014 |

New dependence coefficients. Examples and applications to statistics J Dedecker, C Prieur Probability Theory and Related Fields 132, 203-236, 2005 | 235 | 2005 |

Generalized hoeffding-sobol decomposition for dependent variables-application to sensitivity analysis G Chastaing, F Gamboa, C Prieur | 194 | 2012 |

On Shapley value for measuring importance of dependent inputs AB Owen, C Prieur SIAM/ASA Journal on Uncertainty Quantification 5 (1), 986-1002, 2017 | 188 | 2017 |

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 | 136 | 2019 |

Coupling for τ-dependent sequences and applications J Dedecker, C Prieur Journal of Theoretical Probability 17 (4), 861-885, 2004 | 126 | 2004 |

Bias correction for the estimation of sensitivity indices based on random balance designs JY Tissot, C Prieur Reliability Engineering & System Safety 107, 205-213, 2012 | 105 | 2012 |

Generalized Sobol sensitivity indices for dependent variables: numerical methods G Chastaing, F Gamboa, C Prieur Journal of statistical computation and simulation 85 (7), 1306-1333, 2015 | 102 | 2015 |

Statistical inference for Sobol pick-freeze Monte Carlo method F Gamboa, A Janon, T Klein, A Lagnoux, C Prieur Statistics 50 (4), 881-902, 2016 | 97 | 2016 |

Gradient-based dimension reduction of multivariate vector-valued functions O Zahm, PG Constantine, C Prieur, YM Marzouk SIAM Journal on Scientific Computing 42 (1), A534-A558, 2020 | 95 | 2020 |

SPLIDHOM: A method for homogenization of daily temperature observations O Mestre, C Gruber, C Prieur, H Caussinus, S Jourdain Journal of applied meteorology and climatology 50 (11), 2343-2358, 2011 | 95 | 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 | 91 | 2021 |

Basics and trends in sensitivity analysis: Theory and practice in R S Da Veiga, F Gamboa, B Iooss, C Prieur Society for Industrial and Applied Mathematics, 2021 | 85 | 2021 |

Variance-based sensitivity analysis: Theory and estimation algorithms C Prieur, S Tarantola Handbook of uncertainty quantification, 1217-1239, 2017 | 73 | 2017 |

A randomized orthogonal array-based procedure for the estimation of first-and second-order Sobol'indices JY Tissot, C Prieur Journal of Statistical Computation and Simulation 85 (7), 1358-1381, 2015 | 67 | 2015 |

An empirical central limit theorem for dependent sequences J Dedecker, C Prieur Stochastic processes and their applications 117 (1), 121-142, 2007 | 63 | 2007 |

Reconstruction of missing daily streamflow data using dynamic regression models P Tencaliec, AC Favre, C Prieur, T Mathevet Water Resources Research 51 (12), 9447-9463, 2015 | 62 | 2015 |

Uncertainties assessment in global sensitivity indices estimation from metamodels A Janon, M Nodet, C Prieur International Journal for Uncertainty Quantification 4 (1), 2014 | 58 | 2014 |