Multivariate analysis of mixed data: The R package PCAmixdata M Chavent, V Kuentz-Simonet, A Labenne, J Saracco arXiv preprint arXiv:1411.4911, 2014 | 113 | 2014 |

Nonparametric prediction by conditional median and quantiles A Gannoun, J Saracco, K Yu Journal of statistical Planning and inference 117 (2), 207-223, 2003 | 90 | 2003 |

Reference curves based on non‐parametric quantile regression A Gannoun, S Girard, C Guinot, J Saracco Statistics in Medicine 21 (20), 3119-3135, 2002 | 88 | 2002 |

ClustGeo: an R package for hierarchical clustering with spatial constraints M Chavent, V Kuentz-Simonet, A Labenne, J Saracco Computational Statistics 33 (4), 1799-1822, 2018 | 84 | 2018 |

AN ASYMPTOTIC THEORY FOR SIR _{α} METHODA Gannoun, J Saracco Statistica Sinica, 297-310, 2003 | 59 | 2003 |

Orthogonal rotation in PCAMIX M Chavent, V Kuentz-Simonet, J Saracco Advances in Data Analysis and Classification 6 (2), 131-146, 2012 | 57 | 2012 |

Sliced Inverse Regression (SIR): an appraisal of small sample alternatives to slicing Y Aragon, J Saracco Toulouse-GREMAQ Papers, 1996 | 54 | 1996 |

Sliced inverse regression in reference curves estimation A Gannoun, S Girard, C Guinot, J Saracco Computational statistics & data analysis 46 (1), 103-122, 2004 | 52 | 2004 |

Asymptotics for pooled marginal slicing estimator based on SIRα approach J Saracco Journal of multivariate Analysis 96 (1), 117-135, 2005 | 49 | 2005 |

Non‐parametric quantile regression with censored data A Gannoun, J Saracco, A Yuan, GE Bonney Scandinavian Journal of Statistics 32 (4), 527-550, 2005 | 45 | 2005 |

Some extensions of multivariate sliced inverse regression L Barreda, A Gannoun, J Saracco Journal of Statistical Computation and Simulation 77 (1), 1-17, 2007 | 40 | 2007 |

A SENtence Supramodal Areas AtlaS (SENSAAS) based on multiple task-induced activation mapping and graph analysis of intrinsic connectivity in 144 healthy right-handers L Labache, M Joliot, J Saracco, G Jobard, I Hesling, L Zago, E Mellet, ... Brain Structure and Function 224 (2), 859-882, 2019 | 38 | 2019 |

A sliced inverse regression approach for data stream M Chavent, S Girard, V Kuentz-Simonet, B Liquet, TMN Nguyen, ... Computational Statistics 29 (5), 1129-1152, 2014 | 38 | 2014 |

Pooled slicing methods versus slicing methods J Saracco Communications in statistics-Simulation and Computation 30 (3), 489-511, 2001 | 38 | 2001 |

PCAmixdata: Multivariate analysis of mixed data M Chavent, V Kuentz, A Labenne, B Liquet, J Saracco R package version 3, 2017 | 35 | 2017 |

PCA‐and PMF‐based methodology for air pollution sources identification and apportionment M Chavent, H Guegan, V Kuentz, B Patouille, J Saracco Environmetrics: The official journal of the International Environmetrics …, 2009 | 34 | 2009 |

A graphical tool for selecting the number of slices and the dimension of the model in SIR and SAVE approaches B Liquet, J Saracco Computational Statistics 27 (1), 103-125, 2012 | 33 | 2012 |

A new sliced inverse regression method for multivariate response R Coudret, S Girard, J Saracco Computational Statistics & Data Analysis 77, 285-299, 2014 | 32 | 2014 |

Application of the Bootstrap Approach to the Choice of Dimension and the α Parameter in the SIR_{α} MethodB Liquet, J Saracco Communications in Statistics—Simulation and ComputationŽ 37 (6), 1198-1218, 2008 | 28 | 2008 |

On central tendency and dispersion measures for intervals and hypercubes M Chavent, J Saracco Communications in Statistics—Theory and Methods 37 (9), 1471-1482, 2008 | 27 | 2008 |