Reference curves based on non‐parametric quantile regression A Gannoun, S Girard, C Guinot, J Saracco Statistics in medicine 21 (20), 3119-3135, 2002 | 81 | 2002 |

Nonparametric prediction by conditional median and quantiles A Gannoun, J Saracco, K Yu Journal of statistical Planning and inference 117 (2), 207-223, 2003 | 78 | 2003 |

AN ASYMPTOTIC THEORY FOR SIR _{α} METHODA Gannoun, J Saracco Statistica Sinica, 297-310, 2003 | 56 | 2003 |

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 | 42 | 2005 |

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

Non‐parametric quantile regression with censored data A Gannoun, J Saracco, A Yuan, GE Bonney Scandinavian Journal of Statistics 32 (4), 527-550, 2005 | 37 | 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 | 36 | 2007 |

Multivariate analysis of mixed data: The PCAmixdata R package M Chavent, V Kuentz-Simonet, A Labenne, J Saracco arXiv preprint arXiv:1411.4911 132, 2014 | 33 | 2014 |

Orthogonal rotation in PCAMIX M Chavent, V Kuentz-Simonet, J Saracco Advances in Data Analysis and Classification 6 (2), 131-146, 2012 | 33 | 2012 |

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 | 32 | 2014 |

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 | 29 | 2012 |

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 Computation® 37 (6), 1198-1218, 2008 | 27 | 2008 |

**ClustGeo**: an R package for hierarchical clustering with spatial constraintsM Chavent, V Kuentz-Simonet, A Labenne, J Saracco Computational Statistics 33 (4), 1799-1822, 2018 | 25 | 2018 |

A new sliced inverse regression method for multivariate response R Coudret, S Girard, J Saracco Computational Statistics & Data Analysis 77, 285-299, 2014 | 24 | 2014 |

Optimal quantization applied to sliced inverse regression R Azaïs, A Gégout-Petit, J Saracco Journal of Statistical Planning and Inference 142 (2), 481-492, 2012 | 24 | 2012 |

A sliced inverse regression approach for a stratified population M Chavent, V Kuentz, B Liquet, J Saracco Communications in statistics-Theory and methods 40 (21), 3857-3878, 2011 | 23 | 2011 |

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 | 23 | 2008 |

Sliced inverse regression under linear constraints J Saracco Communications in statistics-Theory and methods 28 (10), 2367-2393, 1999 | 23 | 1999 |