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Karel G.M. Moons

Karel G.M. Moons

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Medicine
Netherlands
2023

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Medicine 140 1651 1527 55 54 598 122510

Karel G.M. Moons publications per year

The chart shows the history of publications by Karel G.M. Moons between 1993 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Karel G.M. Moons published across 34 years, from 1993 to 2026, averaging 20 papers a year. Output peaked at 51 publications in 2013. 22 of the 681 publications appeared in the last two years.

No. of publications
10 20 30 40 50
Bar chart. Horizontal axis: year, 1993 to 2026. Vertical axis: number of publications, 0 to 51. Peak 51 publications in 2013. 1993: 1 publication 1994: 0 publications 1995: 0 publications 1996: 0 publications 1997: 2 publications 1998: 3 publications 1999: 3 publications 2000: 3 publications 2001: 13 publications 2002: 13 publications 2003: 11 publications 2004: 13 publications 2005: 14 publications 2006: 28 publications 2007: 18 publications 2008: 26 publications 2009: 29 publications 2010: 24 publications 2011: 27 publications 2012: 48 publications 2013: 51 publications 2014: 38 publications 2015: 38 publications 2016: 38 publications 2017: 29 publications 2018: 26 publications 2019: 43 publications 2020: 34 publications 2021: 28 publications 2022: 24 publications 2023: 20 publications 2024: 14 publications 2025: 20 publications 2026: 2 publications
1993 2026

681 publications in total across all disciplines

View publications per year as a table
Karel G.M. Moons: publications per year, 1993 to 2026
Year Publications
1993 1
1994 0
1995 0
1996 0
1997 2
1998 3
1999 3
2000 3
2001 13
2002 13
2003 11
2004 13
2005 14
2006 28
2007 18
2008 26
2009 29
2010 24
2011 27
2012 48
2013 51
2014 38
2015 38
2016 38
2017 29
2018 26
2019 43
2020 34
2021 28
2022 24
2023 20
2024 14
2025 20
2026 2
Total 681
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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.

No. of scientists
200 400 600 800
Bar chart with 86 bars. Horizontal axis: publications, 101–120 to 1,796+. Vertical axis: number of scientists, 0 to 922. Most scientists, 922, have 341–360 publications. The last bar groups every scientist with 1,796 publications or more. The highlighted bar, 581–600 publications, is where this scientist sits. 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: 610 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
101–120 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.

View publications distribution as a table
Number of Medicine scientists by publication count, Research.com 2026 ranking edition. Based on 20,134 ranked scientists.
Publications Scientists This scientist
101–120 5
121–140 26
141–160 73
161–180 155
181–200 230
201–220 363
221–240 487
241–260 545
261–280 722
281–300 768
301–320 834
321–340 895
341–360 922
361–380 838
381–400 861
401–420 918
421–440 806
441–460 771
461–480 751
481–500 713
501–520 617
521–540 610
541–560 537
561–580 504
581–600 509 598
601–620 396
621–640 386
641–660 371
661–680 340
681–700 336
701–720 307
721–740 259
741–760 230
761–780 228
781–800 217
801–820 204
821–840 186
841–860 177
861–880 155
881–900 139
901–920 145
921–940 116
941–960 133
961–980 91
981–1,000 96
1,001–1,020 77
1,021–1,040 70
1,041–1,060 63
1,061–1,080 77
1,081–1,100 49
1,101–1,120 54
1,121–1,140 49
1,141–1,160 51
1,161–1,180 35
1,181–1,200 39
1,201–1,220 26
1,221–1,240 37
1,241–1,260 36
1,261–1,280 27
1,281–1,300 32
1,301–1,320 28
1,321–1,340 17
1,341–1,360 30
1,361–1,380 28
1,381–1,400 17
1,401–1,420 21
1,421–1,440 15
1,441–1,460 12
1,461–1,480 12
1,481–1,500 18
1,501–1,520 14
1,521–1,540 17
1,541–1,560 15
1,561–1,580 6
1,581–1,600 2
1,601–1,620 12
1,621–1,640 11
1,641–1,660 8
1,661–1,680 5
1,681–1,700 5
1,701–1,720 10
1,721–1,740 12
1,741–1,760 14
1,761–1,780 6
1,781–1,795 5
1,796+ 100
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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.

No. of scientists
250 500 750 1,000
Bar chart with 75 bars. Horizontal axis: D-Index, 70–71 to 217+. Vertical axis: number of scientists, 0 to 1,027. Most scientists, 1,027, have 82–83 D-Index. The last bar groups every scientist with 217 D-Index or more. The highlighted bar, 140–141 D-Index, is where this scientist sits. 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: 399 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
70–71 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.

View D-Index distribution as a table
Number of Medicine scientists by D-index, Research.com 2026 ranking edition. Based on 20,134 ranked scientists.
D-Index Scientists This scientist
70–71 226
72–73 391
74–75 574
76–77 730
78–79 891
80–81 972
82–83 1,027
84–85 1,003
86–87 960
88–89 970
90–91 922
92–93 839
94–95 808
96–97 779
98–99 668
100–101 611
102–103 630
104–105 513
106–107 541
108–109 445
110–111 429
112–113 399
114–115 393
116–117 318
118–119 302
120–121 287
122–123 255
124–125 256
126–127 252
128–129 230
130–131 179
132–133 168
134–135 163
136–137 159
138–139 134
140–141 134 140
142–143 118
144–145 109
146–147 106
148–149 74
150–151 79
152–153 80
154–155 87
156–157 57
158–159 74
160–161 69
162–163 60
164–165 53
166–167 39
168–169 42
170–171 32
172–173 39
174–175 40
176–177 28
178–179 19
180–181 23
182–183 31
184–185 18
186–187 20
188–189 22
190–191 13
192–193 21
194–195 12
196–197 12
198–199 14
200–201 15
202–203 13
204–205 10
206–207 8
208–209 4
210–211 12
212–213 11
214–215 10
216 4
217+ 98
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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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