World's Best Scientists 2026 revealed!
Christian F. Beckmann

Christian F. Beckmann

D-Index & Metrics

Neuroscience

D-Index
103
Citations
113807
World Ranking
674
National Ranking
17

Christian F. Beckmann publication distribution in Neuroscience in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Neuroscience in 2026. The highlighted bar marks where Christian F. Beckmann sits on this spectrum.

38–47 publications: 18 scientists 48–57 publications: 79 scientists 58–67 publications: 193 scientists 68–77 publications: 323 scientists 78–87 publications: 406 scientists 88–97 publications: 452 scientists 98–107 publications: 539 scientists 108–117 publications: 505 scientists 118–127 publications: 522 scientists 128–137 publications: 469 scientists 138–147 publications: 456 scientists 148–157 publications: 459 scientists 158–167 publications: 397 scientists 168–177 publications: 383 scientists 178–187 publications: 350 scientists 188–197 publications: 302 scientists 198–207 publications: 306 scientists 208–217 publications: 262 scientists 218–227 publications: 242 scientists 228–237 publications: 220 scientists 238–247 publications: 203 scientists 248–257 publications: 174 scientists 258–267 publications: 176 scientists 268–277 publications: 175 scientists 278–287 publications: 125 scientists 288–297 publications: 116 scientists 298–307 publications: 127 scientists 308–317 publications: 128 scientists 318–327 publications: 99 scientists 328–337 publications: 89 scientists 338–347 publications: 78 scientists 348–357 publications: 96 scientists 358–367 publications: 66 scientists 368–377 publications: 59 scientists 378–387 publications: 65 scientists 388–397 publications: 54 scientists 398–407 publications: 48 scientists 408–417 publications: 49 scientists 418–427 publications: 34 scientists 428–437 publications: 31 scientists 438–447 publications: 30 scientists 448–457 publications: 31 scientists 458–467 publications: 36 scientists 468–477 publications: 40 scientists 478–487 publications: 35 scientists 488–497 publications: 30 scientists 498–507 publications: 23 scientists 508–517 publications: 26 scientists 518–527 publications: 20 scientists 528–537 publications: 23 scientists 538–547 publications: 20 scientists 548–557 publications: 20 scientists 558–567 publications: 17 scientists 568–577 publications: 14 scientists 578–587 publications: 20 scientists 588–597 publications: 20 scientists 598–607 publications: 19 scientists 608–617 publications: 18 scientists 618–627 publications: 17 scientists 628–637 publications: 11 scientists 638–647 publications: 11 scientists 648–657 publications: 11 scientists 658–667 publications: 8 scientists 668–677 publications: 7 scientists 678–687 publications: 11 scientists 688–697 publications: 10 scientists 698–707 publications: 4 scientists 708–717 publications: 6 scientists 718–727 publications: 5 scientists 728–737 publications: 5 scientists 738–747 publications: 9 scientists 748–757 publications: 9 scientists 758–767 publications: 3 scientists 768–777 publications: 7 scientists 778–787 publications: 7 scientists 788–797 publications: 6 scientists 798–807 publications: 2 scientists 808–817 publications: 2 scientists 818–827 publications: 7 scientists 828–837 publications: 0 scientists 838–847 publications: 9 scientists 848–857 publications: 3 scientists 858–867 publications: 1 scientists 868–877 publications: 3 scientists 878–886 publications: 6 scientists 887+ publications: 100 scientists
38 publications 887+

This scientist: 353 publications — 88th percentile

88% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 887 publications or more.

Christian F. Beckmann D-index placement in Neuroscience in 2026

The chart shows the D-index (discipline H-index) distribution of Neuroscience scientists ranked by Research.com in 2026. The highlighted bar marks where Christian F. Beckmann sits on this spectrum.

30–31 D-Index: 42 scientists 32–33 D-Index: 172 scientists 34–35 D-Index: 296 scientists 36–37 D-Index: 435 scientists 38–39 D-Index: 459 scientists 40–41 D-Index: 456 scientists 42–43 D-Index: 467 scientists 44–45 D-Index: 478 scientists 46–47 D-Index: 512 scientists 48–49 D-Index: 435 scientists 50–51 D-Index: 425 scientists 52–53 D-Index: 418 scientists 54–55 D-Index: 392 scientists 56–57 D-Index: 357 scientists 58–59 D-Index: 334 scientists 60–61 D-Index: 328 scientists 62–63 D-Index: 260 scientists 64–65 D-Index: 278 scientists 66–67 D-Index: 239 scientists 68–69 D-Index: 250 scientists 70–71 D-Index: 210 scientists 72–73 D-Index: 200 scientists 74–75 D-Index: 189 scientists 76–77 D-Index: 170 scientists 78–79 D-Index: 146 scientists 80–81 D-Index: 113 scientists 82–83 D-Index: 126 scientists 84–85 D-Index: 100 scientists 86–87 D-Index: 84 scientists 88–89 D-Index: 99 scientists 90–91 D-Index: 84 scientists 92–93 D-Index: 85 scientists 94–95 D-Index: 72 scientists 96–97 D-Index: 76 scientists 98–99 D-Index: 45 scientists 100–101 D-Index: 49 scientists 102–103 D-Index: 43 scientists 104–105 D-Index: 32 scientists 106–107 D-Index: 45 scientists 108–109 D-Index: 50 scientists 110–111 D-Index: 32 scientists 112–113 D-Index: 39 scientists 114–115 D-Index: 32 scientists 116–117 D-Index: 29 scientists 118–119 D-Index: 27 scientists 120–121 D-Index: 19 scientists 122–123 D-Index: 23 scientists 124–125 D-Index: 27 scientists 126–127 D-Index: 16 scientists 128–129 D-Index: 24 scientists 130–131 D-Index: 13 scientists 132–133 D-Index: 21 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 14 scientists 138–139 D-Index: 15 scientists 140–141 D-Index: 10 scientists 142–143 D-Index: 10 scientists 144–145 D-Index: 13 scientists 146–147 D-Index: 9 scientists 148–149 D-Index: 8 scientists 150–151 D-Index: 6 scientists 152–153 D-Index: 6 scientists 154–155 D-Index: 7 scientists 156–157 D-Index: 7 scientists 158–159 D-Index: 10 scientists 160–161 D-Index: 4 scientists 162 D-Index: 8 scientists 163+ D-Index: 100 scientists
30 D-Index 163+

This scientist: 103 D-Index — 93rd percentile

93% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 163 D-Index or more.

Overview

Christian F. Beckmann is affiliated with Radboud University in the Netherlands and has a strong publication record in neuroscience and medicine. Their research focuses on cognitive neuroscience, advanced neuroimaging techniques, and mental health topics within psychiatry and neurodevelopmental disorders.

The scientist's work extensively covers the thematic areas of functional brain connectivity, autism spectrum disorder research, advanced MRI techniques, genetics related to neurodevelopmental disorders, and neural dynamics and brain function.

Several recent publications illustrate the scope of their contributions:

  • Accurate brain age prediction with lightweight deep neural networks, 2020, Medical Image Analysis
  • Where is Cingulate Cortex? A Cross-Species View, 2020, Trends in Neurosciences
  • The normative modeling framework for computational psychiatry, 2022, Nature Protocols
  • Regional, circuit and network heterogeneity of brain abnormalities in psychiatric disorders, 2023, Nature Neuroscience
  • Challenges and future directions for representations of functional brain organization, 2020, Nature Neuroscience

Beckmann frequently collaborates with several researchers, including:

  • Jan K. Buitelaar
  • André F. Marquand
  • Declan Murphy
  • Tony Charman
  • Eva Loth

The scientist's publications are often featured in the following venues:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Molecular Autism
  • European Neuropsychopharmacology
  • Translational Psychiatry
  • Biological Psychiatry

Their work spans multiple subfields, including cognitive neuroscience, radiology, nuclear medicine and imaging, experimental and cognitive psychology, genetics, and psychiatry and mental health. These interdisciplinary efforts contribute to a broad understanding of brain function and abnormalities as they relate to psychiatric disorders and developmental conditions.

Best Publications

  • Advances in functional and structural MR image analysis and implementation as FSL.

    S M Smith;M Jenkinson;M W Woolrich;M W Woolrich;C F Beckmann

  • New advances in the Clinica software platform for clinical neuroimaging studies

    Alexandre Routier;Arnaud Marcoux;Mauricio Diaz Melo;Jérémy Guillon

  • Correspondence of the brain's functional architecture during activation and rest.

    Stephen M. Smith;Peter T. Fox;Karla L. Miller;David C. Glahn

  • A multi-modal parcellation of human cerebral cortex

    Matthew F. Glasser;Timothy S. Coalson;Emma C. Robinson;Emma C. Robinson;Carl D. Hacker

  • Consistent resting-state networks across healthy subjects

    J. S. Damoiseaux;S. A. R. B. Rombouts;F. Barkhof;P. Scheltens

  • Investigations into resting-state connectivity using independent component analysis

    Christian F Beckmann;Marilena DeLuca;Joseph T Devlin;Stephen M Smith

  • An anatomically comprehensive atlas of the adult human brain transcriptome

    Michael J. Hawrylycz;Ed S. Lein;Angela L. Guillozet-Bongaarts;Elaine H. Shen

  • Toward discovery science of human brain function

    Bharat B. Biswal;Maarten Mennes;Xi Nian Zuo;Suril Gohel

  • Probabilistic independent component analysis for functional magnetic resonance imaging

    C.F. Beckmann;S.M. Smith

  • Bayesian analysis of neuroimaging data in FSL.

    Mark William Woolrich;Saâd Jbabdi;Brian Patenaude;Michael A. Chappell

  • Network modelling methods for FMRI.

    Stephen M. Smith;Karla L. Miller;Gholamreza Salimi-Khorshidi;Matthew Webster

  • Automatic denoising of functional MRI data: combining independent component analysis and hierarchical fusion of classifiers.

    Gholamreza Salimi-Khorshidi;Gwenaëlle Douaud;Christian F. Beckmann;Matthew F. Glasser

  • Multilevel linear modelling for FMRI group analysis using Bayesian inference.

    Mark W. Woolrich;Mark W. Woolrich;Timothy Edward John Behrens;Timothy Edward John Behrens;Christian F. Beckmann;Christian F. Beckmann;Mark Jenkinson

  • Distinct patterns of brain activity in young carriers of the APOE-epsilon4 allele.

    Nicola Filippini;Bradley J. MacIntosh;Morgan G. Hough;Guy M. Goodwin

  • General multilevel linear modeling for group analysis in FMRI.

    Christian F. Beckmann;Mark Jenkinson;Stephen M. Smith

  • ICA-AROMA: A robust ICA-based strategy for removing motion artifacts from fMRI data

    Raimon H. R. Pruim;Maarten Mennes;Daan van Rooij;Alberto Llera

  • Resting-state fMRI in the Human Connectome Project

    S M Smith;C F Beckmann;J Andersson;E J Auerbach

  • fMRI resting state networks define distinct modes of long-distance interactions in the human brain.

    M De Luca;C F Beckmann;N De Stefano;P M Matthews

  • ICA-based artefact removal and accelerated fMRI acquisition for improved resting state network imaging

    Ludovica Griffanti;Ludovica Griffanti;Gholamreza Salimi-Khorshidi;Christian F. Beckmann;Edward J. Auerbach

  • Reduced resting-state brain activity in the “default network” in normal aging

    J.S. Damoiseaux;C.F. Beckmann;E.J. Sanz Arigita;F. Barkhof

  • Distinct patterns of brain activity in young carriers of the APOE e4 allele

    N Filippini;BJ MacIntosh;MG Hough;GM Goodwin

Frequent Co-Authors

Jan K. Buitelaar
Jan K. Buitelaar Radboud University
Stephen M. Smith
Stephen M. Smith University of Oxford
Andre F. Marquand
Andre F. Marquand Radboud University
Maarten Mennes
Maarten Mennes Radboud University
Paul M. Matthews
Paul M. Matthews Imperial College London
Barbara Franke
Barbara Franke Radboud University
Mark W. Woolrich
Mark W. Woolrich University of Oxford
Tony Charman
Tony Charman King's College London
Eva Loth
Eva Loth King's College London
Declan G. Murphy
Declan G. Murphy King's College London

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