World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
163
Citations
238438
World Ranking
95
National Ranking
15

Stephen M. Smith 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 Stephen M. Smith 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: 496 publications — 95th percentile

95% of scientists in this discipline score the same or lower.

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

Stephen M. Smith 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 Stephen M. Smith 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: 163 D-Index — 99th percentile

99% of scientists in this discipline score the same or lower.

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

Overview

Stephen M. Smith is affiliated with the University of Oxford in the United Kingdom. Their primary fields of study are Medicine and Neuroscience, with significant work also in subfields such as Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Pediatrics, Perinatology and Child Health, Genetics, and Neurology.

The scientist's research topics include Functional Brain Connectivity Studies, Advanced Neuroimaging Techniques and Applications, Advanced MRI Techniques and Applications, Neural Dynamics and Brain Function, Genetic Associations and Epidemiology, Health, Environment, Cognitive Aging, and Mental Health Research Topics.

Stephen M. Smith has contributed to various scientific journals, frequently publishing in:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • NeuroImage
  • Imaging Neuroscience
  • arXiv (Cornell University)
  • Nature Communications

Among their recent papers are:

  • SARS-CoV-2 is associated with changes in brain structure in UK Biobank, 2022, Nature
  • Phase 1 study of MRX34, a liposomal miR-34a mimic, in patients with advanced solid tumours, 2020, British Journal of Cancer
  • The UK Biobank imaging enhancement of 100,000 participants: rationale, data collection, management and future directions, 2020, Nature Communications
  • Medium-term effects of SARS-CoV-2 infection on multiple vital organs, exercise capacity, cognition, quality of life and mental health, post-hospital discharge, 2021, EClinicalMedicine
  • An expanded set of genome-wide association studies of brain imaging phenotypes in UK Biobank, 2021, Nature Neuroscience

The scientist collaborates regularly with co-authors including:

  • Fidel Alfaro-Almagro
  • Thomas E. Nichols
  • Karla L. Miller
  • Gwenaëlle Douaud
  • Jesper Andersson

Stephen M. Smith has also contributed to book publications across different publishers. These include:

  • Programming with 64-Bit ARM Assembly Language, published by Apress eBooks in 2020
  • International Relations Theories, published by Oxford University Press in 2024
  • Raspberry Pi Assembly Language Programming, published by Maker Innovations Series, expected in 2025

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

  • Fast robust automated brain extraction

    Stephen M. Smith

  • IMPROVED OPTIMIZATION FOR THE ROBUST AND ACCURATE LINEAR REGISTRATION AND MOTION CORRECTION OF BRAIN IMAGES

    Mark Jenkinson;Peter R. Bannister;Peter R. Bannister;Michael Brady;Stephen M. Smith

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

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

  • A global optimisation method for robust affine registration of brain images

    Mark Jenkinson;Stephen M. Smith

  • Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm

    Y. Zhang;M. Brady;S. Smith

  • Tract-based spatial statistics: voxelwise analysis of multi-subject diffusion data.

    S M Smith;M Jenkinson;H Johansen-Berg;D Rueckert

  • The WU-Minn Human Connectome Project: An Overview

    David C. Van Essen;Stephen M. Smith;M Deanna;Timothy Edward John Behrens

  • SUSAN—A New Approach to Low Level Image Processing

    Stephen M. Smith;J. Michael Brady

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

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

  • Threshold-free cluster enhancement: Addressing problems of smoothing, threshold dependence and localisation in cluster inference

    Stephen M. Smith;Thomas E. Nichols;Thomas E. Nichols;Thomas E. Nichols

  • 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

  • Permutation inference for the general linear model.

    Anderson M. Winkler;Anderson M. Winkler;Anderson M. Winkler;Gerard R. Ridgway;Matthew A. Webster;Stephen M. Smith

  • Characterization and propagation of uncertainty in diffusion-weighted MR imaging.

    Timothy E.J. Behrens;M. W. Woolrich;Mi Jenkinson;H. Johansen-Berg

  • An anatomically comprehensive atlas of the adult human brain transcriptome

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

  • Temporal autocorrelation in univariate linear modeling of FMRI data.

    Mark W. Woolrich;Brian D. Ripley;J. Michael Brady;Stephen M. Smith

  • 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

Frequent Co-Authors

Paul M. Matthews
Paul M. Matthews Imperial College London
Christian F. Beckmann
Christian F. Beckmann Radboud University
Mark Jenkinson
Mark Jenkinson University of Oxford
Mark W. Woolrich
Mark W. Woolrich University of Oxford
Thomas E. Nichols
Thomas E. Nichols University of Oxford
Karla L. Miller
Karla L. Miller University of Oxford
Timothy E.J. Behrens
Timothy E.J. Behrens University of Oxford
Heidi Johansen-Berg
Heidi Johansen-Berg University of Oxford
Matthew F. Glasser
Matthew F. Glasser Washington University in St. Louis
Gwenaëlle Douaud
Gwenaëlle Douaud University of Oxford

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