World's Best Scientists 2026 revealed!
Karel G.M. Moons

Karel G.M. Moons

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Medicine
Netherlands
2023

D-Index & Metrics

Medicine

D-Index
140
Citations
122510
World Ranking
1651
National Ranking
55

Karel G.M. Moons publication distribution in Medicine in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Medicine in 2026. The highlighted bar marks where Karel G.M. Moons sits on this spectrum.

101–120 publications: 5 scientists 121–140 publications: 26 scientists 141–160 publications: 73 scientists 161–180 publications: 155 scientists 181–200 publications: 230 scientists 201–220 publications: 363 scientists 221–240 publications: 487 scientists 241–260 publications: 545 scientists 261–280 publications: 722 scientists 281–300 publications: 768 scientists 301–320 publications: 834 scientists 321–340 publications: 895 scientists 341–360 publications: 922 scientists 361–380 publications: 838 scientists 381–400 publications: 861 scientists 401–420 publications: 918 scientists 421–440 publications: 806 scientists 441–460 publications: 771 scientists 461–480 publications: 751 scientists 481–500 publications: 713 scientists 501–520 publications: 617 scientists 521–540 publications: 611 scientists 541–560 publications: 537 scientists 561–580 publications: 504 scientists 581–600 publications: 509 scientists 601–620 publications: 396 scientists 621–640 publications: 386 scientists 641–660 publications: 371 scientists 661–680 publications: 340 scientists 681–700 publications: 336 scientists 701–720 publications: 307 scientists 721–740 publications: 259 scientists 741–760 publications: 230 scientists 761–780 publications: 228 scientists 781–800 publications: 217 scientists 801–820 publications: 204 scientists 821–840 publications: 186 scientists 841–860 publications: 177 scientists 861–880 publications: 155 scientists 881–900 publications: 139 scientists 901–920 publications: 145 scientists 921–940 publications: 116 scientists 941–960 publications: 133 scientists 961–980 publications: 91 scientists 981–1,000 publications: 96 scientists 1,001–1,020 publications: 77 scientists 1,021–1,040 publications: 70 scientists 1,041–1,060 publications: 63 scientists 1,061–1,080 publications: 77 scientists 1,081–1,100 publications: 49 scientists 1,101–1,120 publications: 54 scientists 1,121–1,140 publications: 49 scientists 1,141–1,160 publications: 51 scientists 1,161–1,180 publications: 35 scientists 1,181–1,200 publications: 39 scientists 1,201–1,220 publications: 26 scientists 1,221–1,240 publications: 37 scientists 1,241–1,260 publications: 36 scientists 1,261–1,280 publications: 27 scientists 1,281–1,300 publications: 32 scientists 1,301–1,320 publications: 28 scientists 1,321–1,340 publications: 17 scientists 1,341–1,360 publications: 30 scientists 1,361–1,380 publications: 28 scientists 1,381–1,400 publications: 17 scientists 1,401–1,420 publications: 21 scientists 1,421–1,440 publications: 15 scientists 1,441–1,460 publications: 12 scientists 1,461–1,480 publications: 12 scientists 1,481–1,500 publications: 18 scientists 1,501–1,520 publications: 14 scientists 1,521–1,540 publications: 17 scientists 1,541–1,560 publications: 15 scientists 1,561–1,580 publications: 6 scientists 1,581–1,600 publications: 2 scientists 1,601–1,620 publications: 12 scientists 1,621–1,640 publications: 11 scientists 1,641–1,660 publications: 8 scientists 1,661–1,680 publications: 5 scientists 1,681–1,700 publications: 5 scientists 1,701–1,720 publications: 10 scientists 1,721–1,740 publications: 12 scientists 1,741–1,760 publications: 14 scientists 1,761–1,780 publications: 6 scientists 1,781–1,795 publications: 5 scientists 1,796+ publications: 100 scientists
101 publications 1,796+

This scientist: 598 publications — 72nd percentile

72% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,796 publications or more.

Karel G.M. Moons D-index placement in Medicine in 2026

The chart shows the D-index (discipline H-index) distribution of Medicine scientists ranked by Research.com in 2026. The highlighted bar marks where Karel G.M. Moons sits on this spectrum.

70–71 D-Index: 226 scientists 72–73 D-Index: 391 scientists 74–75 D-Index: 574 scientists 76–77 D-Index: 730 scientists 78–79 D-Index: 891 scientists 80–81 D-Index: 972 scientists 82–83 D-Index: 1,027 scientists 84–85 D-Index: 1,003 scientists 86–87 D-Index: 960 scientists 88–89 D-Index: 970 scientists 90–91 D-Index: 922 scientists 92–93 D-Index: 839 scientists 94–95 D-Index: 808 scientists 96–97 D-Index: 779 scientists 98–99 D-Index: 668 scientists 100–101 D-Index: 611 scientists 102–103 D-Index: 630 scientists 104–105 D-Index: 513 scientists 106–107 D-Index: 541 scientists 108–109 D-Index: 445 scientists 110–111 D-Index: 429 scientists 112–113 D-Index: 400 scientists 114–115 D-Index: 393 scientists 116–117 D-Index: 318 scientists 118–119 D-Index: 302 scientists 120–121 D-Index: 287 scientists 122–123 D-Index: 255 scientists 124–125 D-Index: 256 scientists 126–127 D-Index: 252 scientists 128–129 D-Index: 230 scientists 130–131 D-Index: 179 scientists 132–133 D-Index: 168 scientists 134–135 D-Index: 163 scientists 136–137 D-Index: 159 scientists 138–139 D-Index: 134 scientists 140–141 D-Index: 134 scientists 142–143 D-Index: 118 scientists 144–145 D-Index: 109 scientists 146–147 D-Index: 106 scientists 148–149 D-Index: 74 scientists 150–151 D-Index: 79 scientists 152–153 D-Index: 80 scientists 154–155 D-Index: 87 scientists 156–157 D-Index: 57 scientists 158–159 D-Index: 74 scientists 160–161 D-Index: 69 scientists 162–163 D-Index: 60 scientists 164–165 D-Index: 53 scientists 166–167 D-Index: 39 scientists 168–169 D-Index: 42 scientists 170–171 D-Index: 32 scientists 172–173 D-Index: 39 scientists 174–175 D-Index: 40 scientists 176–177 D-Index: 28 scientists 178–179 D-Index: 19 scientists 180–181 D-Index: 23 scientists 182–183 D-Index: 31 scientists 184–185 D-Index: 18 scientists 186–187 D-Index: 20 scientists 188–189 D-Index: 22 scientists 190–191 D-Index: 13 scientists 192–193 D-Index: 21 scientists 194–195 D-Index: 12 scientists 196–197 D-Index: 12 scientists 198–199 D-Index: 14 scientists 200–201 D-Index: 15 scientists 202–203 D-Index: 13 scientists 204–205 D-Index: 10 scientists 206–207 D-Index: 8 scientists 208–209 D-Index: 4 scientists 210–211 D-Index: 12 scientists 212–213 D-Index: 11 scientists 214–215 D-Index: 10 scientists 216 D-Index: 4 scientists 217+ D-Index: 98 scientists
70 D-Index 217+

This scientist: 140 D-Index — 92nd percentile

92% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 217 D-Index or more.

Research.com Recognitions

  • 2023 - Research.com Medicine in Netherlands Leader Award

Overview

Karel G.M. Moons is affiliated with Utrecht University in the Netherlands and has an extensive research portfolio primarily focused on medicine. Their work spans multiple subfields including Artificial Intelligence, Economics and Econometrics, Statistics, Probability and Uncertainty, Health Informatics, and Infectious Diseases.

The scientist's research topics cover a broad spectrum in healthcare and epidemiology. Key areas include Artificial Intelligence in Healthcare and Education, Meta-analysis and systematic reviews, Health Systems, Economic Evaluations, Quality of Life, Machine Learning in Healthcare, Healthcare cost, quality, practices, SARS-CoV-2 detection and testing, and SARS-CoV-2 and COVID-19 Research.

Frequent publication venues for their research work include:

  • Journal of Clinical Epidemiology
  • BMJ
  • BMJ Open
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Statistics in Medicine

Recent notable papers by Karel G.M. Moons feature collaborations with various authors and address clinical prediction models and epidemiological risk assessments. Examples include:

  • Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal, 2020, BMJ
  • Calculating the sample size required for developing a clinical prediction model, 2020, BMJ
  • SCORE2 risk prediction algorithms: new models to estimate 10-year risk of cardiovascular disease in Europe, 2021, European Heart Journal
  • TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods, 2024, BMJ
  • Protocol for development of a reporting guideline (TRIPOD-AI) and risk of bias tool (PROBAST-AI) for diagnostic and prognostic prediction model studies based on artificial intelligence, 2021, BMJ Open

Their frequent collaborators include Gary S. Collins, Maarten van Smeden, Richard D. Riley, Lotty Hooft, and Johanna AAG Damen, reflecting ongoing partnerships in the development and evaluation of clinical prediction models, methodological guidance, and artificial intelligence applications in medicine.

Best Publications

  • Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): the TRIPOD Statement.

    G S Collins;J B Reitsma;D G Altman;K G M Moons

  • Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD): explanation and elaboration.

    Karel G.M. Moons;Douglas G. Altman;Johannes B. Reitsma;John P.A. Ioannidis

  • Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal

    Laure Wynants;Laure Wynants;Ben Van Calster;Ben Van Calster;Gary S Collins;Gary S Collins;Richard D Riley

  • General and abdominal adiposity and risk of death in Europe.

    T. Pischon;H. Boeing;K. Hoffmann;M. Bergmann

  • General and Abdominal Adiposity and Risk of Death in Europe

    T. Pischon;H. Boeing;K. Hoffmann

  • Review: A gentle introduction to imputation of missing values

    A. Rogier T. Donders;A. Rogier T. Donders;Geert J.M.G. van der Heijden;Theo Stijnen;Karel G.M. Moons

  • Prognosis and prognostic research: what, why, and how?

    Karel G M Moons;Patrick Royston;Yvonne Vergouwe;Diederick E Grobbee

  • Prognosis and prognostic research: validating a prognostic model

    Douglas G Altman;Yvonne Vergouwe;Patrick Royston;Karel G M Moons

  • PROBAST: A tool to assess the risk of bias and applicability of prediction model studies

    Robert F. Wolff;Karel G.M. Moons;Richard D. Riley;Penny F. Whiting

  • Critical appraisal and data extraction for systematic reviews of prediction modelling studies: the CHARMS checklist.

    Karel G. M. Moons;Joris A. H. de Groot;Walter Bouwmeester;Yvonne Vergouwe

  • Calculating the sample size required for developing a clinical prediction model.

    Richard D Riley;Joie Ensor;Kym I E Snell;Frank E Harrell

  • Prognosis Research Strategy (PROGRESS) 3: prognostic model research.

    Ewout W. Steyerberg;Karel G. M. Moons;Danielle A. van der Windt;Jill A. Hayden

  • Prognosis and prognostic research: Developing a prognostic model

    Patrick Royston;Karel G M Moons;Douglas G Altman;Yvonne Vergouwe

  • Long-Term Cognitive Impairment After Critical Illness

    Pratik P. Pandharipande;Timothy D. Girard;James C. Jackson;Alessandro Morandi

  • Risk prediction models: II. External validation, model updating, and impact assessment

    Karel G M Moons;Andre Pascal Kengne;Andre Pascal Kengne;Andre Pascal Kengne;Diederick E Grobbee;Patrick Royston

  • Risk prediction models: I. Development, internal validation, and assessing the incremental value of a new (bio)marker

    Karel G M Moons;Andre Pascal Kengne;Andre Pascal Kengne;Andre Pascal Kengne;Mark Woodward;Patrick Royston

  • Using the outcome for imputation of missing predictor values was preferred

    Karel G.M. Moons;Rogier A.R.T. Donders;Theo Stijnen;Frank E. Harrell

  • Calibration: the Achilles heel of predictive analytics

    Ben Van Calster;Ben Van Calster;David J. McLernon;Maarten van Smeden;Laure Wynants;Laure Wynants

  • Prognosis and prognostic research: application and impact of prognostic models in clinical practice

    Karel G M Moons;Douglas G Altman;Yvonne Vergouwe;Patrick Royston

  • PROBAST : A Tool to Assess Risk of Bias and Applicability of Prediction Model Studies: Explanation and Elaboration

    Karel G.M. Moons;Robert F. Wolff;Richard D. Riley;Penny F. Whiting

Frequent Co-Authors

Johannes B. Reitsma
Johannes B. Reitsma Utrecht University
Diederick E. Grobbee
Diederick E. Grobbee Utrecht University
Gary S. Collins
Gary S. Collins University of Oxford
Arno W. Hoes
Arno W. Hoes Utrecht University
Douglas G. Altman
Douglas G. Altman University of Oxford
Cor J. Kalkman
Cor J. Kalkman University Medical Center Utrecht
Ewout W. Steyerberg
Ewout W. Steyerberg Leiden University Medical Center
Ben Willem J. Mol
Ben Willem J. Mol Monash University
Yvonne T. van der Schouw
Yvonne T. van der Schouw Utrecht University
Henriëtte A. Moll
Henriëtte A. Moll Erasmus University Rotterdam

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