World's Best Scientists 2026 revealed!
Mia Hubert

Mia Hubert

D-Index & Metrics

Mathematics

D-Index
50
Citations
13252
World Ranking
1063
National Ranking
16

Mia Hubert 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 Mia Hubert 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: 174 publications — 51st percentile

51% of scientists in this discipline score the same or lower.

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

Mia Hubert 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 Mia Hubert 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: 50 D-Index — 71st percentile

71% of scientists in this discipline score the same or lower.

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

Overview

Mia Hubert is affiliated with KU Leuven in Belgium and has contributed extensively to the field of mathematics, with a specific focus on statistics and probability. Their work spans multiple interconnected subfields including statistics, probability and uncertainty, cancer research, molecular biology, and analytical chemistry.

The scientist's main research topics cover advanced statistical methods and models, advanced statistical process monitoring, cancer, hypoxia, and metabolism, mitochondrial function and pathology, spectroscopy and chemometric analyses, statistical methods and inference, and adrenal and paraganglionic tumors.

Mia Hubert has authored several papers published in recognized academic venues. Notable recent publications include:

  • "Real-time outlier detection for large datasets by RT-DetMCD" (2020), published in Chemometrics and Intelligent Laboratory Systems
  • "Real-time discriminant analysis in the presence of label and measurement noise" (2020), published in Chemometrics and Intelligent Laboratory Systems
  • "Deficiency in PHD2-mediated hydroxylation of HIF2α underlies Pacak-Zhuang syndrome" (2024), published in Communications Biology
  • "Robust discriminant analysis" (2024), published in Wiley Interdisciplinary Reviews Computational Statistics
  • "Class Maps for Visualizing Classification Results" (2021), published in OPAL (Open@LaTrobe) (La Trobe University)

The scientist frequently publishes in several venues, including:

  • Chemometrics and Intelligent Laboratory Systems
  • arXiv (Cornell University)
  • Lirias (KU Leuven)
  • eLife
  • Communications Biology

Collaboration is a significant part of their career, coauthoring papers with several researchers multiple times. Frequent coauthors include Peter J. Rousseeuw, Jakob Raymaekers, Fraser G. Ferens, Cassandra C Taber, and Michael Ohh.

Best Publications

  • ROBPCA: A New Approach to Robust Principal Component Analysis

    Mia Hubert;Peter J Rousseeuw;Karlien Vanden Branden

  • An adjusted boxplot for skewed distributions

    M Hubert;E Vandervieren

  • Robust statistics for outlier detection

    Peter J. Rousseeuw;Mia Hubert

  • LIBRA: a MATLAB library for robust analysis

    Sabine Verboven;Mia Hubert

  • Regression depth. Commentaries. Rejoinder

    P. J. Rousseeuw;M. Hubert;X. He;R. Koenker

  • Clustering in an Object-Oriented Environment

    Anja Struyf;Mia Hubert;Peter J. Rousseeuw

  • High-Breakdown Robust Multivariate Methods

    Mia Hubert;Peter J. Rousseeuw;Stefan Van Aelst

  • A Robust Measure of Skewness

    Guy Brys;M. Hubert;Anja Struyf

  • Anomaly detection by robust statistics

    Peter J. Rousseeuw;Mia Hubert

  • Robust methods for partial least squares regression

    M. Hubert;K. Vanden Branden

  • Minimum covariance determinant

    Mia Hubert;Michiel Debruyne

  • Inflation, relative prices and nominal rigidities

    Luc Aucremanne;Guy Brys;Mia Hubert;Peter J. Rousseeuw

  • A fast method for robust principal components with applications to chemometrics

    Mia Hubert;Peter J. Rousseeuw;Sabine Verboven

  • Outlier detection for skewed data

    Mia Hubert;Stephan Van der Veeken

  • Fast and robust discriminant analysis

    Mia Hubert;Katrien Van Driessen

  • Integrating robust clustering techniques in S-PLUS

    Anja Struyf;Mia Hubert;Peter J. Rousseeuw

  • WORKING PAPERS - RESEARCH SERIES INFLATION, RELATIVE PRICES AND NOMINAL RIGIDITIES

    Luc Aucremanne;Guy Brys;Mia Hubert;Peter J. Rousseeuw

  • Robust PCA and classification in biosciences

    Mia Hubert;Sanne Engelen

  • Multivariate functional outlier detection

    Mia Hubert;Peter J. Rousseeuw;Pieter Segaert

  • Minimum covariance determinant and extensions

    Mia Hubert;Michiel Debruyne;Peter J. Rousseeuw

  • An adjusted boxplot for skewed distributions

    E. Vandervieren;Mia Hubert

Frequent Co-Authors

Jan Beirlant
Jan Beirlant KU Leuven
Peter Goos
Peter Goos KU Leuven
Stephen Portnoy
Stephen Portnoy University of Illinois at Urbana-Champaign
David Ruppert
David Ruppert Cornell University
Xuming He
Xuming He Washington University in St. Louis

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