World's Best Scientists 2026 revealed!
Irène Gijbels

Irène Gijbels

D-Index & Metrics

Mathematics

D-Index
42
Citations
15894
World Ranking
1745
National Ranking
24

Irène Gijbels 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 Irène Gijbels 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.

Irène Gijbels 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 Irène Gijbels 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: 42 D-Index — 51st percentile

51% 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

  • 2002 - Fellow of the American Statistical Association (ASA)

Overview

Irène Gijbels is affiliated with KU Leuven in Belgium and focuses primarily on research in mathematics and its applications within economics, econometrics, and finance. Their work spans a variety of statistical and computational methodologies as applied to complex data structures and financial modeling.

The main fields of study in which Irène Gijbels has published include:

  • Mathematics
  • Economics, Econometrics and Finance

Within these domains, the principal subfields of study are:

  • Statistics and Probability
  • Finance
  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Management Science and Operations Research

The primary topics addressed in their research include:

  • Statistical Methods and Inference
  • Financial Risk and Volatility Modeling
  • Advanced Statistical Methods and Models
  • Statistical Methods and Bayesian Inference
  • Bayesian Methods and Mixture Models
  • Statistical Distribution Estimation and Applications
  • Sparse and Compressive Sensing Techniques

Irène Gijbels has contributed extensively to academic journals and publication venues such as:

  • arXiv (Cornell University)
  • Journal of Multivariate Analysis
  • Computational Statistics & Data Analysis
  • Annals of the Institute of Statistical Mathematics
  • Statistical Methods & Applications

Selected recent papers authored or co-authored by Irène Gijbels include:

  • "Penalised robust estimators for sparse and high-dimensional linear models," 2020, Statistical Methods & Applications
  • "Local polynomial expectile regression," 2021, Annals of the Institute of Statistical Mathematics
  • "Extremile Regression," 2021, Journal of the American Statistical Association
  • "Hierarchical variable clustering via copula-based divergence measures between random vectors," 2023, International Journal of Approximate Reasoning
  • "Multivariate Tail Coefficients: Properties and Estimation," 2020, Entropy

Frequent co-authors collaborating with Irène Gijbels encompass:

  • Anneleen Verhasselt
  • Umberto Amato
  • Anestis Antoniadis
  • Steven De Keyser
  • Italia De Feis

Irène Gijbels was named a Fellow of the American Statistical Association (ASA) in 2002.

Best Publications

  • Local polynomial modelling and its applications

    Jianqing Fan;Irène Gijbels

  • Local Polynomial Modeling and Its Applications

    Hans-Georg Muller;J. Fan;I. Gijbels

  • Generalized Partially Linear Single-Index Models

    R. J. Carroll;Jianqing Fan;Irène Gijbels;M. P. Wand

  • Variable Bandwidth and Local Linear Regression Smoothers

    Jianqing Fan;Irene Gijbels

  • Data-Driven Bandwidth Selection in Local Polynomial Fitting: Variable Bandwidth and Spatial Adaptation

    Jianqing Fan;Irene Gijbels

  • On estimation of monotone and concave frontier functions

    Irène Gijbels;Enno Mammen;Byeong U. Park;Léopold Simar

  • Local maximum likelihood estimation and inference

    Jianqing Fan;Mark Farmen;Irène Gijbels

  • Censored Regression - Local Linear-approximations and Their Applications

    Jianqing Fan;Irène Gijbels

  • Practical bandwidth selection in deconvolution kernel density estimation

    Aurore Delaigle;Irène Gijbels

  • Improved kernel estimation of copulas: Weak convergence and goodness-of-fit testing

    Marek Omelka;Irène Gijbels;Noël Veraverbeke

  • Local likelihood and local partial likelihood in hazard regression

    Jianqing Fan;Irène Gijbels;Martin King

  • Testing Monotonicity of Regression

    AW Bowman;MC Jones;Irène Gijbels

  • A study of variable bandwidth selection for local polynomial regression

    JQ Fan;Irène Gijbels;TC Hu;LS Huang

  • Strong Representations of the Survival Function Estimator for Truncated and Censored Data with Applications

    I. Gijbels;J.L. Wang

  • Bandwidth Selection in Nonparametric Kernel Testing

    Jiti Gao;Irene Gijbels

  • Local polynomial regression: Optimal kernels and asymptotic minimax efficiency

    Jianqing Fan;Theo Gasser;Irène Gijbels;Michael Brockmann

  • Bootstrap bandwidth selection in kernel density estimation from a contaminated sample

    A Delaigle;Irène Gijbels

  • On the estimation of jump points in smooth curves

    Irene Gijbels;Peter Hall;Peter Hall;Aloïs Kneip

  • Conditional copulas, association measures and their applications

    Irène Gijbels;Noël Veraverbeke;Marel Omelka

  • Estimation of a Conditional Copula and Association Measures

    Noël Veraverbeke;Marek Omelka;Irène Gijbels

Frequent Co-Authors

Jianqing Fan
Jianqing Fan Princeton University
Aurore Delaigle
Aurore Delaigle University of Melbourne
Alois Kneip
Alois Kneip University of Bonn
M. C. Jones
M. C. Jones The Open University
Matt P. Wand
Matt P. Wand University of Technology Sydney
Peihua Qiu
Peihua Qiu University of Florida
Bart De Moor
Bart De Moor KU Leuven
Mila Nikolova
Mila Nikolova École Normale Supérieure Paris-Saclay

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