World's Best Scientists 2026 revealed!
Gerda Claeskens

Gerda Claeskens

D-Index & Metrics

Mathematics

D-Index
39
Citations
8607
World Ranking
2150
National Ranking
26

Gerda Claeskens 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 Gerda Claeskens 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: 195 publications — 60th percentile

60% of scientists in this discipline score the same or lower.

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

Gerda Claeskens 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 Gerda Claeskens 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: 39 D-Index — 41st percentile

41% 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

  • 2019 - Fellow of the American Statistical Association (ASA)

Overview

Gerda Claeskens is affiliated with KU Leuven in Belgium, focusing on research in mathematics and computer science, with particular emphasis on statistics and probability and artificial intelligence. Their work encompasses numerous publications in topics such as statistical methods and inference, advanced statistical methods and models, Bayesian methods and mixture models, and applications related to insurance, mortality, demography, and risk management.

The main fields of study include:

  • Mathematics
  • Computer Science

Subfields of study cover:

  • Statistics and Probability
  • Artificial Intelligence
  • Control and Systems Engineering
  • Computer Vision and Pattern Recognition
  • Demography

Key research topics addressed by Claeskens are:

  • Statistical Methods and Inference
  • Advanced Statistical Methods and Models
  • Statistical Methods and Bayesian Inference
  • Bayesian Methods and Mixture Models
  • Control Systems and Identification
  • Machine Learning and Data Classification
  • Insurance, Mortality, Demography, Risk Management

Claeskens has authored several recent papers including:

  • Instance-dependent cost-sensitive parametric learning, 2024, published in Neurocomputing
  • Nonparametric C- and D-vine-based quantile regression, 2022, published in UEA Digital Repository (University of East Anglia)
  • Modeling the Occurrence of Events Subject to a Reporting Delay via an EM Algorithm, 2022, published in Statistical Science
  • Optimal finite sample post-selection confidence distributions in generalized linear models, 2022, published in Journal of Statistical Planning and Inference
  • A hierarchical mixture cure model with unobserved heterogeneity for credit risk, 2021, published in Econometrics and Statistics

Frequent coauthors collaborating with Claeskens include:

  • Jing Zhou
  • Sarah Pirenne
  • Maarten Jansen
  • Andrea C. Garcia-Angulo
  • Katrien Antonio

The scientist's work has appeared across a range of publication venues, particularly:

  • arXiv (Cornell University)
  • Electronic Journal of Statistics
  • Journal of Statistical Planning and Inference
  • Scandinavian Journal of Statistics
  • Test

In recognition of professional contributions, Claeskens was awarded the title of Fellow of the American Statistical Association (ASA) in 2019.

Best Publications

  • Model selection and model averaging

    Gerda Claeskens;Nils Lid Hjort

  • Model Selection and Model Averaging: Frontmatter

    Gerda Claeskens;Nils Lid Hjort

  • Frequentist Model Average Estimators

    Nils Lid Hjort;Gerda Claeskens

  • The Focused Information Criterion

    Gerda Claeskens;Nils Lid Hjort

  • The forecast combination puzzle: a simple theoretical explanation

    Gerda Claeskens;Jan Magnus;Andrey Vasnev;Wendun Wang

  • Non‐parametric small area estimation using penalized spline regression

    Jean Opsomer;Gerda Claeskens;Maria Giovanna Ranalli;Goeran Kauermann

  • Asymptotic properties of penalized spline estimators

    Gerda Claeskens;Tatyana Krivobokova;Jean D. Opsomer

  • On model selection and model misspecification in causal inference

    Stijn Vansteelandt;Maarten Bekaert;Gerda Claeskens

  • Bootstrap confidence bands for regression curves and their derivatives

    Gerda Claeskens;Ingrid Van Keilegom

  • Exact likelihood ratio tests for penalised splines

    Ciprian Crainiceanu;David Ruppert;Gerda Claeskens;M. P. Wand

  • Unravelling the predictive power of telematics data in car insurance pricing

    Roel Verbelen;Katrien Antonio;Katrien Antonio;Gerda Claeskens

  • Multivariate Functional Halfspace Depth

    Gerda Claeskens;Mia Hubert;Leen Slaets;Kaveh Vakili

  • Model-assisted estimation for complex surveys using penalised splines

    FJ Breidt;Gerda Claeskens;JD Opsomer

  • Focused Information Criteria and Model Averaging for the Cox Hazard Regression Model

    Nils Lid Hjort;Gerda Claeskens

  • Simultaneous Confidence Bands for Penalized Spline Estimators

    Tatyana Krivobokova;Thomas Kneib;Gerda Claeskens

  • Variable selection for logistic regression using a prediction-focused information criterion.

    Gerda Claeskens;Christophe Croux;Johan Van Kerckhoven

  • Time to default in credit scoring using survival analysis: a benchmark study

    Lore Dirick;Gerda Claeskens;Bart Baesens;Bart Baesens

  • Testing the Fit of a Parametric Function

    Marc Aerts;Gerda Claeskens;Jeffrey D. Hart

  • Testing lack of fit in multiple regression

    Marc Aerts;Gerda Claeskens;Jeffrey Hart

  • Empirical likelihood confidence regions for comparison distributions and roc curves

    Gerda Claeskens;Bing-Yi Jing;Liang Peng;Wang Zhou

  • Unraveling the Predictive Power of Telematics Data in Car Insurance Pricing

    Verbelen Roel;Katrien Antonio;Katrien Antonio;Gerda Claeskens

  • Model-Assisted Estimation for Complex Surveys Using Penalized Splines

    F. J. Breidt;Gerda Claeskens;J. D. Opsomer

Frequent Co-Authors

Nils Lid Hjort
Nils Lid Hjort University of Oslo
Bart Baesens
Bart Baesens KU Leuven
Lourens J. Waldorp
Lourens J. Waldorp University of Amsterdam
Jeffrey D. Hart
Jeffrey D. Hart Texas A&M University
Christophe Croux
Christophe Croux EDHEC Business School
Mia Hubert
Mia Hubert KU Leuven
Holger Dette
Holger Dette Ruhr University Bochum
Niel Hens
Niel Hens Hasselt University

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