Introduction to multivariate statistical analysis in chemometrics K Varmuza, P Filzmoser CRC press, 2016 | 1062 | 2016 |

Statistical data analysis explained: applied environmental statistics with R C Reimann, P Filzmoser, R Garrett, R Dutter John Wiley & Sons, 2011 | 735 | 2011 |

Background and threshold: critical comparison of methods of determination C Reimann, P Filzmoser, RG Garrett Science of the total environment 346 (1-3), 1-16, 2005 | 636 | 2005 |

Normal and lognormal data distribution in geochemistry: death of a myth. Consequences for the statistical treatment of geochemical and environmental data C Reimann, P Filzmoser Environmental geology 39 (9), 1001-1014, 2000 | 560 | 2000 |

Factor analysis applied to regional geochemical data: problems and possibilities C Reimann, P Filzmoser, RG Garrett Applied geochemistry 17 (3), 185-206, 2002 | 458 | 2002 |

Outlier identification in high dimensions P Filzmoser, R Maronna, M Werner Computational Statistics & Data Analysis 52 (3), 1694-1711, 2008 | 383 | 2008 |

Multivariate outlier detection in exploration geochemistry P Filzmoser, RG Garrett, C Reimann Computers & geosciences 31 (5), 579-587, 2005 | 371 | 2005 |

Principal component analysis for compositional data with outliers P Filzmoser, K Hron, C Reimann Environmetrics: The Official Journal of the International Environmetrics …, 2009 | 308 | 2009 |

Univariate statistical analysis of environmental (compositional) data: problems and possibilities P Filzmoser, K Hron, C Reimann Science of the Total Environment 407 (23), 6100-6108, 2009 | 282 | 2009 |

Repeated double cross validation P Filzmoser, B Liebmann, K Varmuza Journal of Chemometrics: A Journal of the Chemometrics Society 23 (4), 160-171, 2009 | 275 | 2009 |

An object-oriented framework for robust multivariate analysis V Todorov, P Filzmoser na 32, 1-47, 2009 | 271 | 2009 |

Multivariate statistical analysis: revised and expanded NC Giri CRC Press, 2003 | 269* | 2003 |

Cluster analysis applied to regional geochemical data: problems and possibilities M Templ, P Filzmoser, C Reimann Applied Geochemistry 23 (8), 2198-2213, 2008 | 268 | 2008 |

Algorithms for projection–pursuit robust principal component analysis C Croux, P Filzmoser, MR Oliveira Chemometrics and Intelligent Laboratory Systems 87 (2), 218-225, 2007 | 195 | 2007 |

Robust factor analysis G Pison, PJ Rousseeuw, P Filzmoser, C Croux Journal of Multivariate Analysis 84 (1), 145-172, 2003 | 191 | 2003 |

Imputation of missing values for compositional data using classical and robust methods K Hron, M Templ, P Filzmoser Computational Statistics & Data Analysis 54 (12), 3095-3107, 2010 | 187 | 2010 |

Robust fitting of mixtures using the trimmed likelihood estimator N Neykov, P Filzmoser, R Dimova, P Neytchev Computational Statistics & Data Analysis 52 (1), 299-308, 2007 | 177 | 2007 |

Outlier detection for compositional data using robust methods P Filzmoser, K Hron Mathematical Geosciences 40 (3), 233-248, 2008 | 175 | 2008 |

robCompositions: an R-package for robust statistical analysis of compositional data M Templ, K Hron, P Filzmoser na 36, 341-354, 2011 | 157 | 2011 |

Partial robust M-regression S Serneels, C Croux, P Filzmoser, PJ Van Espen Chemometrics and Intelligent Laboratory Systems 79 (1-2), 55-64, 2005 | 157 | 2005 |