World's Best Scientists 2026 revealed!
Peter J. Rousseeuw

Peter J. Rousseeuw

Award Badge
Mathematics
Belgium
2026

D-Index & Metrics

Mathematics

D-Index
81
Citations
102469
World Ranking
130
National Ranking
3

Peter J. Rousseeuw 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 J. Rousseeuw 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: 269 publications — 81st percentile

81% of scientists in this discipline score the same or lower.

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

Peter J. Rousseeuw 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 J. Rousseeuw 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: 81 D-Index — 96th percentile

96% 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 Belgium Leader Award
  • 2025 - Research.com Mathematics in Belgium Leader Award
  • 2023 - Research.com Mathematics in Belgium Leader Award
  • 1994 - Fellow of the American Statistical Association (ASA)

Overview

Peter J. Rousseeuw is affiliated with KU Leuven in Belgium. Their research spans multiple disciplines, predominantly focusing on areas within mathematics and computer science. In particular, they have contributed extensively to the fields of statistics and probability as well as artificial intelligence.

The scientist has published research on a variety of topics that include:

  • Advanced Statistical Methods and Models
  • Advanced Statistical Process Monitoring
  • Statistical Methods and Inference
  • Anomaly Detection Techniques and Applications
  • Machine Learning and Data Classification
  • Spectroscopy and Chemometric Analyses
  • Bayesian Modeling and Causal Inference

Among their recent papers are the following:

  • "The Cellwise Minimum Covariance Determinant Estimator," 2023, Journal of the American Statistical Association
  • "Challenges of cellwise outliers," 2024, Econometrics and Statistics
  • "Handling Cellwise Outliers by Sparse Regression and Robust Covariance," 2021, Journal of Data Science Statistics and Visualisation
  • "Real-time outlier detection for large datasets by RT-DetMCD," 2020, Chemometrics and Intelligent Laboratory Systems
  • "Real-time discriminant analysis in the presence of label and measurement noise," 2020, Chemometrics and Intelligent Laboratory Systems

The scientist has frequently published in venues such as:

  • arXiv (Cornell University)
  • Econometrics and Statistics
  • Journal of Data Science Statistics and Visualisation
  • Journal of Computational and Graphical Statistics
  • Chemometrics and Intelligent Laboratory Systems

Key collaborators in their work include:

  • Jakob Raymaekers
  • Mia Hubert
  • Tim Verdonck
  • Fabio Centofanti
  • Sarah Leyder

Peter J. Rousseeuw's body of research centers on statistical methods that address robustness in data analysis, with a notable emphasis on outlier detection and covariance estimation techniques. Their work involves applications in statistical process monitoring and machine learning, integrating advanced methods for handling complex data and uncertainty.

The scientist has been recognized as a Fellow of the American Statistical Association since 1994.

Best Publications

  • Silhouettes: a graphical aid to the interpretation and validation of cluster analysis

    Peter Rousseeuw

  • Robust Regression and Outlier Detection

    P. J. Rousseeuw;A. M. Leroy

  • Finding Groups in Data

    Leonard Kaufman;Peter J. Rousseeuw

  • Robust statistics: the approach based on influence functions

    Frank R. Hampel;Elvezio M. Ronchetti;Peter J. Rousseeuw;Werner A. Stahel

  • Least Median of Squares Regression

    Peter J. Rousseeuw

  • Wiley Series in Probability and Mathematical Statistics

    Peter J. Rousseeuw;Annick M. Leroy

  • Robust Regression and Outlier Detection: Rousseeuw/Robust Regression & Outlier Detection

    Peter J. Rousseeuw;Annick M. Leroy

  • A fast algorithm for the minimum covariance determinant estimator

    Peter J. Rousseeuw;Katrien Van Driessen

  • Alternatives to the Median Absolute Deviation

    Peter J. Rousseeuw;Christophe Croux

  • Clustering by means of medoids

    L Kaufman;Peter Rousseeuw

  • Unmasking Multivariate Outliers and Leverage Points

    Peter J. Rousseeuw;Bert C. van Zomeren

  • Multivariate estimation with high breakdown point

    Peter Rousseeuw

  • ROBUST REGRESSION BY MEANS OF S-ESTIMATORS

    Peter Rousseeuw;Victor Yohai

  • ROBPCA: A New Approach to Robust Principal Component Analysis

    Mia Hubert;Peter J Rousseeuw;Karlien Vanden Branden

  • Partitioning Around Medoids (Program PAM)

    Leonard Kaufman;Peter J. Rousseeuw

  • Robust statistics for outlier detection

    Peter J. Rousseeuw;Mia Hubert

  • Computing LTS Regression for Large Data Sets

    Peter J. Rousseeuw;Katrien Driessen

  • The Bagplot: A Bivariate Boxplot

    Peter J. Rousseeuw;Ida Ruts;John W. Tukey

  • Breakdown Points of Affine Equivariant Estimators of Multivariate Location and Covariance Matrices

    Hendrik P. Lopuhaa;Peter J. Rousseeuw

  • Faster k-Medoids Clustering: Improving the PAM, CLARA, and CLARANS Algorithms.

    Erich Schubert;Peter J. Rousseeuw

  • Unmasking Multivariate Outliers and Leverage Points: Rejoinder

    Peter J. Rousseeuw;Bert C. van Zomeren

Frequent Co-Authors

Mia Hubert
Mia Hubert KU Leuven
Christophe Croux
Christophe Croux EDHEC Business School
Elvezio Ronchetti
Elvezio Ronchetti University of Geneva
Lamine Mili
Lamine Mili Virginia Tech
Kris Boudt
Kris Boudt Ghent University
Jack Snoeyink
Jack Snoeyink University of North Carolina at Chapel Hill
Micha Sharir
Micha Sharir Tel Aviv University
Marc van Kreveld
Marc van Kreveld Utrecht University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For students studying Mathematics in the USA, exploring related online degrees can broaden career opportunities. Many professionals pursue advanced education in fields that complement mathematical skills, such as business or finance.

If you're interested in leadership roles, programs like the shortest mba program online offer an efficient path to gaining essential management knowledge without a lengthy time commitment.

Finance is another popular choice for math graduates. You might consider the cheapest online masters in finance to enhance your analytical skills and unlock new career possibilities in banking, investment, or analytics.

For those leaning toward entrepreneurship or executive roles, earning a Doctorate in Business Administration can be invaluable. Finding the best 1 year dba program online can accelerate your journey into high-level consulting or academic positions.

Marketing also benefits greatly from mathematical expertise, especially in data-driven decision-making. Look into a master's degree in marketing to combine quantitative skills with strategic insight, boosting your employability in dynamic industries.

Best Scientists Citing Peter J. Rousseeuw

Trending Scientists

Recently Published Articles