World's Best Scientists 2026 revealed!
Peter Filzmoser

Peter Filzmoser

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Mathematics
Austria
2026

D-Index & Metrics

Mathematics

D-Index
63
Citations
19094
World Ranking
437
National Ranking
7

Peter Filzmoser publication distribution in Mathematics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where Peter Filzmoser sits on this spectrum.

42–46 publications: 3 scientists 47–51 publications: 5 scientists 52–56 publications: 7 scientists 57–61 publications: 20 scientists 62–66 publications: 14 scientists 67–71 publications: 25 scientists 72–76 publications: 19 scientists 77–81 publications: 35 scientists 82–86 publications: 50 scientists 87–91 publications: 60 scientists 92–96 publications: 86 scientists 97–101 publications: 84 scientists 102–106 publications: 83 scientists 107–111 publications: 90 scientists 112–116 publications: 99 scientists 117–121 publications: 90 scientists 122–126 publications: 91 scientists 127–131 publications: 109 scientists 132–136 publications: 110 scientists 137–141 publications: 98 scientists 142–146 publications: 112 scientists 147–151 publications: 102 scientists 152–156 publications: 88 scientists 157–161 publications: 106 scientists 162–166 publications: 83 scientists 167–171 publications: 102 scientists 172–176 publications: 77 scientists 177–181 publications: 81 scientists 182–186 publications: 78 scientists 187–191 publications: 71 scientists 192–196 publications: 92 scientists 197–201 publications: 64 scientists 202–206 publications: 69 scientists 207–211 publications: 64 scientists 212–216 publications: 62 scientists 217–221 publications: 58 scientists 222–226 publications: 53 scientists 227–231 publications: 50 scientists 232–236 publications: 46 scientists 237–241 publications: 46 scientists 242–246 publications: 46 scientists 247–251 publications: 43 scientists 252–256 publications: 29 scientists 257–261 publications: 45 scientists 262–266 publications: 30 scientists 267–271 publications: 33 scientists 272–276 publications: 34 scientists 277–281 publications: 30 scientists 282–286 publications: 31 scientists 287–291 publications: 21 scientists 292–296 publications: 34 scientists 297–301 publications: 26 scientists 302–306 publications: 10 scientists 307–311 publications: 17 scientists 312–316 publications: 23 scientists 317–321 publications: 13 scientists 322–326 publications: 16 scientists 327–331 publications: 26 scientists 332–336 publications: 13 scientists 337–341 publications: 13 scientists 342–346 publications: 16 scientists 347–351 publications: 17 scientists 352–356 publications: 12 scientists 357–361 publications: 18 scientists 362–366 publications: 18 scientists 367–371 publications: 9 scientists 372–376 publications: 11 scientists 377–381 publications: 8 scientists 382–386 publications: 8 scientists 387–391 publications: 9 scientists 392–396 publications: 9 scientists 397–401 publications: 8 scientists 402–406 publications: 11 scientists 407–411 publications: 6 scientists 412–416 publications: 6 scientists 417–421 publications: 9 scientists 422–426 publications: 8 scientists 427–431 publications: 5 scientists 432–436 publications: 8 scientists 437–441 publications: 8 scientists 442–446 publications: 4 scientists 447–451 publications: 4 scientists 452–456 publications: 4 scientists 457–461 publications: 2 scientists 462–466 publications: 2 scientists 467–471 publications: 4 scientists 472–476 publications: 3 scientists 477–481 publications: 3 scientists 482–486 publications: 6 scientists 487–491 publications: 3 scientists 492–496 publications: 5 scientists 497–501 publications: 5 scientists 502–506 publications: 1 scientists 507–511 publications: 6 scientists 512–516 publications: 4 scientists 517–521 publications: 1 scientists 522–526 publications: 3 scientists 527–531 publications: 1 scientists 532–536 publications: 4 scientists 537+ publications: 100 scientists
42 publications 537+

This scientist: 287 publications — 84th percentile

84% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 537 publications or more.

Peter Filzmoser D-index placement in Mathematics in 2026

The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where Peter Filzmoser sits on this spectrum.

30 D-Index: 174 scientists 31 D-Index: 151 scientists 32 D-Index: 174 scientists 33 D-Index: 117 scientists 34 D-Index: 136 scientists 35 D-Index: 127 scientists 36 D-Index: 145 scientists 37 D-Index: 153 scientists 38 D-Index: 150 scientists 39 D-Index: 150 scientists 40 D-Index: 138 scientists 41 D-Index: 136 scientists 42 D-Index: 93 scientists 43 D-Index: 108 scientists 44 D-Index: 115 scientists 45 D-Index: 112 scientists 46 D-Index: 103 scientists 47 D-Index: 75 scientists 48 D-Index: 59 scientists 49 D-Index: 67 scientists 50 D-Index: 60 scientists 51 D-Index: 57 scientists 52 D-Index: 59 scientists 53 D-Index: 62 scientists 54 D-Index: 60 scientists 55 D-Index: 50 scientists 56 D-Index: 42 scientists 57 D-Index: 54 scientists 58 D-Index: 50 scientists 59 D-Index: 42 scientists 60 D-Index: 41 scientists 61 D-Index: 35 scientists 62 D-Index: 40 scientists 63 D-Index: 21 scientists 64 D-Index: 31 scientists 65 D-Index: 27 scientists 66 D-Index: 29 scientists 67 D-Index: 19 scientists 68 D-Index: 25 scientists 69 D-Index: 17 scientists 70 D-Index: 18 scientists 71 D-Index: 12 scientists 72 D-Index: 14 scientists 73 D-Index: 13 scientists 74 D-Index: 18 scientists 75 D-Index: 9 scientists 76 D-Index: 11 scientists 77 D-Index: 10 scientists 78 D-Index: 9 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 10 scientists 82 D-Index: 5 scientists 83 D-Index: 5 scientists 84 D-Index: 13 scientists 85 D-Index: 6 scientists 86+ D-Index: 99 scientists
30 D-Index 86+

This scientist: 63 D-Index — 88th percentile

88% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 86 D-Index or more.

Research.com Recognitions

  • 2026 - Research.com Mathematics in Austria Leader Award
  • 2025 - Research.com Mathematics in Austria Leader Award
  • 2023 - Research.com Mathematics in Austria Leader Award

Overview

Peter Filzmoser is affiliated with TU Wien in Austria and has contributed extensively to the fields of Computer Science and Mathematics. Their research primarily spans statistics, probability, and computational methods, with a significant focus on advanced statistical techniques and geoscience applications.

The main areas of study include:

  • Computer Science
  • Mathematics

Subfields that characterize their work encompass:

  • Statistics and Probability
  • Artificial Intelligence
  • Statistics, Probability and Uncertainty
  • Signal Processing
  • Mechanics of Materials

Research topics covered by Peter Filzmoser are:

  • Advanced Statistical Methods and Models
  • Geochemistry and Geologic Mapping
  • Advanced Statistical Process Monitoring
  • Statistical Methods and Inference
  • Hydrocarbon exploration and reservoir analysis
  • Soil Geostatistics and Mapping
  • Blind Source Separation Techniques

Peter Filzmoser has published papers in several notable venues, including:

  • arXiv (Cornell University)
  • Mathematical Geosciences
  • Problemy Ekorozwoju
  • Austrian Journal of Statistics
  • Chemometrics and Intelligent Laboratory Systems

Recent publications demonstrate a focus on compositional data analysis, robust regression, and outlier detection. Selected papers are:

  • Comparison of zero replacement strategies for compositional data with large numbers of zeros, 2021, Chemometrics and Intelligent Laboratory Systems
  • Robust linear regression for high-dimensional data: An overview, 2020, Wiley Interdisciplinary Reviews Computational Statistics
  • Classical and Robust Regression Analysis with Compositional Data, 2020, Mathematical Geosciences
  • Analysing Pairwise Logratios Revisited, 2021, Mathematical Geosciences
  • Multivariate Outlier Detection in Applied Data Analysis: Global, Local, Compositional and Cellwise Outliers, 2020, Mathematical Geosciences

The scholar collaborates frequently with the following coauthors:

  • Karel Hron
  • Klaus Nordhausen
  • Christoph Muehlmann
  • Christopher Rieser
  • Pia Pfeiffer

Best Publications

  • Introduction to Multivariate Statistical Analysis in Chemometrics

    Kurt Varmuza;Peter Filzmoser

  • Background and threshold: critical comparison of methods of determination

    Clemens Reimann;Peter Filzmoser;Robert G. Garrett

  • 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

  • Statistical data analysis explained

    Clemens Reimann;Peter Filzmoser;Robert G. Garrett;Rudolf Dutter

  • Factor analysis applied to regional geochemical data: problems and possibilities

    Clemens Reimann;Peter Filzmoser;Robert G. Garrett

  • Statistical data analysis explained : applied environmental statics with R

    Clemens Reimann;Peter Filzmoser;Robert G. Garrett;R. Dutter

  • Principal component analysis for compositional data with outliers

    Peter Filzmoser;Karel Hron;Clemens Reimann

  • Multivariate outlier detection in exploration geochemistry

    Peter Filzmoser;Robert G. Garrett;Clemens Reimann

  • Outlier identification in high dimensions

    Peter Filzmoser;Ricardo Maronna;Mark Werner

  • Repeated double cross validation

    Peter Filzmoser;Bettina Liebmann;Kurt Varmuza

  • An Object-Oriented Framework for Robust Multivariate Analysis

    Valentin Todorov;Peter Filzmoser

  • Univariate statistical analysis of environmental (compositional) data: Problems and possibilities

    Peter Filzmoser;Karel Hron;Clemens Reimann

  • robCompositions: An R-package for Robust Statistical Analysis of Compositional Data

    Matthias Templ;Matthias Templ;Karel Hron;Peter Filzmoser

  • Imputation of missing values for compositional data using classical and robust methods

    K. Hron;M. Templ;P. Filzmoser

  • Algorithms for Projection–Pursuit robust principal component analysis

    Christophe Croux;P Filzmoser;M. R Oliveira

  • Bayesian-multiplicative treatment of count zeros in compositional data sets

    Josep-Antoni Martín-Fernández;Karel Hron;Matthias Templ;Matthias Templ;Peter Filzmoser

  • Outlier Detection for Compositional Data Using Robust Methods

    Peter Filzmoser;Karel Hron

  • The concept of compositional data analysis in practice--total major element concentrations in agricultural and grazing land soils of Europe.

    Clemens Reimann;Peter Filzmoser;Karl Fabian;Karel Hron

  • The bivariate statistical analysis of environmental (compositional) data.

    Peter Filzmoser;Karel Hron;Clemens Reimann

  • Exploratory factor analysis revisited: How robust methods support the detection of hidden multivariate data structures in IS research

    Horst Treiblmaier;Peter Filzmoser

  • Algorithms for Projection-Pursuit Robust Principal Component Analysis

    Christophe Croux;Peter Filzmoser;M. Rosario Oliveira

Frequent Co-Authors

Clemens Reimann
Clemens Reimann Norwegian Geological Survey
Christophe Croux
Christophe Croux EDHEC Business School
Manfred Birke
Manfred Birke Federal Institute for Geosciences and Natural Resources
Philippe Négrel
Philippe Négrel French Geological Survey
Mike J. McLaughlin
Mike J. McLaughlin University of Adelaide
Trajče Stafilov
Trajče Stafilov Saints Cyril and Methodius University of Skopje
Enrico Dinelli
Enrico Dinelli University of Bologna
Annamaria Lima
Annamaria Lima University of Naples Federico II
Ewald Moser
Ewald Moser Medical University of Vienna
Stefano Albanese
Stefano Albanese University of Naples Federico II

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