World's Best Scientists 2026 revealed!
Christel Faes

Christel Faes

D-Index & Metrics

Mathematics

D-Index
35
Citations
5082
World Ranking
2781
National Ranking
38

Christel Faes 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 Christel Faes 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: 238 publications — 74th percentile

74% of scientists in this discipline score the same or lower.

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

Christel Faes 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 Christel Faes 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: 35 D-Index — 25th percentile

25% of scientists in this discipline score the same or lower.

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

Best Publications

  • Estimating the generation interval for coronavirus disease (COVID-19) based on symptom onset data, March 2020.

    Tapiwa Ganyani;Cécile Kremer;Dongxuan Chen;Andrea Torneri;Andrea Torneri

  • Time between symptom onset, hospitalisation and recovery or death: statistical analysis of Belgian COVID-19 patients

    Christel Faes;Steven Abrams;Steven Abrams;Dominique Van Beckhoven;Geert Meyfroidt

  • Estimating the generation interval for COVID-19 based on symptom onset data

    Tapiwa Ganyani;Cecile Kremer;Dongxuan Chen;Andrea Torneri

  • Seventy-five years of estimating the force of infection from current status data

    Niel Hens;Marc Aerts;Christel Faes;Ziv Shkedy

  • Modeling infectious disease parameters based on serological and social contact data : a modern statistical perspective

    Niel Hens;Ziv Shkedy;Marc Aerts;Christel Faes

  • Modeling Infectious Disease Parameters Based on Serological and Social Contact Data

    Niel Hens;Ziv Shkedy;Marc Aerts;Christel Faes

  • Salmonella in Belgian laying hens: an identification of risk factors.

    Harriet Namata;Estelle Méroc;Marc Aerts;Christel Faes

  • Comparing INLA and OpenBUGS for hierarchical Poisson modeling in disease mapping

    R. Carroll;A.B. Lawson;C. Faes;R.S. Kirby

  • Variational Bayesian Inference for Parametric and Nonparametric Regression With Missing Data

    Christel Faes;J. T. Ormerod;M. P. Wand

  • The Effective Sample Size and an Alternative Small-Sample Degrees-of-Freedom Method

    Christel Faes;Geert Molenberghs;Marc Aerts;Geert Verbeke

  • SOCRATES-CoMix: a platform for timely and open-source contact mixing data during and in between COVID-19 surges and interventions in over 20 European countries.

    Frederik Verelst;Lisa Hermans;Sarah Vercruysse;Amy Gimma

  • The denominator in general practice, a new approach from the Intego database.

    Stephaan Bartholomeeusen;Chang-Yeon Kim;Raf Mertens;Christel Faes

  • The impact of contact tracing and household bubbles on deconfinement strategies for COVID-19

    Lander Willem;Steven Abrams;Pieter J K Libin;Pieter J K Libin;Pietro Coletti

  • Model averaging using fractional polynomials to estimate a safe level of exposure.

    Christel Faes;Marc Aerts;Helena Geys;Geert Molenberghs

  • Identification of risk factors for the prevalence and persistence of Salmonella in Belgian broiler chicken flocks

    Harriet Namata;Sarah Welby;Marc Aerts;Christel Faes

  • Modelling the early phase of the Belgian COVID-19 epidemic using a stochastic compartmental model and studying its implied future trajectories.

    Steven Abrams;James Wambua;Eva Santermans;Lander Willem

  • Comparison of commonly used methods in random effects meta-analysis: application to preclinical data in drug discovery research

    Ezgi Tanriver-Ayder;Christel Faes;Tom van de Casteele;Sarah K McCann

  • Human salmonellosis: estimation of dose-illness from outbreak data.

    Kaatje Bollaerts;Marc Aerts;Christel Faes;Koen Grijspeerdt

  • Social contact patterns during the COVID-19 pandemic in 21 European countries – evidence from a two-year study

    Unknown

  • Authors' response: Estimating the generation interval for COVID-19 based on symptom onset data.

    Cécile Kremer;Tapiwa Ganyani;Dongxuan Chen;Andrea Torneri

Frequent Co-Authors

Niel Hens
Niel Hens Hasselt University
Russell S. Kirby
Russell S. Kirby University of South Florida
Tim S. Nawrot
Tim S. Nawrot Hasselt University
Herman Goossens
Herman Goossens University of Antwerp
Frank Buntinx
Frank Buntinx KU Leuven
Marius Gilbert
Marius Gilbert Université Libre de Bruxelles
Paul J. Catalano
Paul J. Catalano Harvard University
Benoit Nemery
Benoit Nemery KU Leuven
Jeroen Dewulf
Jeroen Dewulf Ghent University

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