World's Best Scientists 2026 revealed!
Stephen C. Strother

Stephen C. Strother

D-Index & Metrics

Neuroscience

D-Index
65
Citations
14278
World Ranking
3131
National Ranking
179

Computer Science

D-Index
56
Citations
10464
World Ranking
4137
National Ranking
159

Stephen C. Strother 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 C. Strother 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: 308 publications — 83rd percentile

83% of scientists in this discipline score the same or lower.

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

Stephen C. Strother 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 C. Strother 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: 65 D-Index — 68th percentile

68% of scientists in this discipline score the same or lower.

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

Overview

Stephen C. Strother is affiliated with the University of Toronto in Canada and has contributed extensively to research in medicine and neuroscience. Their work spans various subfields including cognitive neuroscience, psychiatry and mental health, radiology, nuclear medicine and imaging, pharmacology, and neurology.

The scientist's research topics focus on functional brain connectivity studies, dementia and cognitive impairment research, treatment of major depression, advanced neuroimaging techniques and applications, mental health research topics, Alzheimer's disease research and treatments, and advanced MRI techniques and applications.

Key recent publications include:

  • Machine learning in the prediction of depression treatment outcomes: a systematic review and meta-analysis, 2021, Psychological Medicine
  • Use of Machine Learning for Predicting Escitalopram Treatment Outcome From Electroencephalography Recordings in Adult Patients With Depression, 2020, JAMA Network Open
  • Brain age in mood and psychotic disorders: a systematic review and meta-analysis, 2021, Acta Psychiatrica Scandinavica
  • Multisite Comparison of MRI Defacing Software Across Multiple Cohorts, 2021, Frontiers in Psychiatry
  • Reproducibility in Matrix and Tensor Decompositions: Focus on model match, interpretability, and uniqueness, 2022, IEEE Signal Processing Magazine

Frequent co-authors collaborating with Stephen C. Strother include:

  • Stephen R. Arnott
  • Sandra E. Black
  • Benício N. Frey
  • Sidney H. Kennedy
  • Christopher J.M. Scott

The main venues where Stephen C. Strother has published include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Alzheimer s & Dementia
  • NeuroImage Clinical
  • IEEE Signal Processing Magazine
  • Neuroinformatics

Best Publications

  • Measuring PET scanner sensitivity: relating countrates to image signal-to-noise ratios using noise equivalents counts

    S.C. Strother;M.E. Casey;E.J. Hoffman

  • Support vector machines for temporal classification of block design fMRI data

    Stephen LaConte;Stephen C. Strother;Vladimir Cherkassky;Jon R. Anderson

  • Machine Learning in Medical Imaging

    Miles Wernick;Yongyi Yang;Jovan Brankov;Grigori Yourganov

  • A Multivariate Analysis of Age-Related Differences in Default Mode and Task-Positive Networks across Multiple Cognitive Domains

    Cheryl L. Grady;Andrea B. Protzner;Natasa Kovacevic;Stephen C. Strother

  • The quantitative evaluation of functional neuroimaging experiments: The NPAIRS data analysis framework

    Stephen C. Strother;Jon R. Anderson;Jon R. Anderson;Lars Kai Hansen;Ulrik Kjems

  • The metabolic pathology of the AIDS dementia complex.

    D. A. Rottenberg;D. A. Rottenberg;J. R. Moeller;S. C. Strother;J. J. Sidtis

  • BIDS apps: Improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods

    Krzysztof J. Gorgolewski;Fidel Alfaro-Almagro;Tibor Auer;Pierre Bellec

  • Scaled subprofile model: a statistical approach to the analysis of functional patterns in positron emission tomographic data.

    J. R. Moeller;S. C. Strother;J. J. Sidtis;D. A. Rottenberg

  • Differences in cerebral blood flow and glucose utilization in vegetative versus locked-in patients.

    David E. Levy;John J. Sidtis;David A. Rottenberg;Jens O. Jarden

  • The metabolic anatomy of Parkinson's disease: complementary [18F]fluorodeoxyglucose and [18F]fluorodopa positron emission tomographic studies.

    D. Eidelberg;J. R. Moeller;V. Dhawan;V. Dhawan;V. Dhawan;J. J. Sidtis;J. J. Sidtis

  • Evaluating fMRI preprocessing pipelines

    S.C. Strother

  • A regional covariance approach to the analysis of functional patterns in positron emission tomographic data.

    J. R. Moeller;J. R. Moeller;S. C. Strother;S. C. Strother

  • Generalizable patterns in neuroimaging: how many principal components?

    Lars Kai Hansen;Jan Larsen;Finn Årup Nielsen;Stephen C. Strother

  • Early cerebral small vessel disease and brain volume, cognition, and gait.

    Eric E. Smith;Martin O'Donnell;Gilles Dagenais;Scott A. Lear

  • Abnormal network connectivity in frontotemporal dementia: Evidence for prefrontal isolation

    Norman A.S. Farb;Cheryl L. Grady;Stephen Strother;David F. Tang-Wai;David F. Tang-Wai

  • Plurality and resemblance in fMRI data analysis.

    Nicholas Lange;Stephen C. Strother;Jon R. Anderson;Finn Å. Nielsen

  • The metabolic landscape of cortico-basal ganglionic degeneration: regional asymmetries studied with positron emission tomography.

    D Eidelberg;V Dhawan;J R Moeller;J J Sidtis

  • Functional connectivity during Stroop task performance.

    Ben J. Harrison;Marnie E. Shaw;Murat Yücel;Murat Yücel;Rosemary Purcell;Rosemary Purcell

  • Quantitative comparisons of image registration techniques based on high-resolution MRI of the brain.

    Stephen C. Strother;Jon R. Anderson;Xiao-Liang Xu;Jeih-San Liow

  • Optimizing the fMRI data-processing pipeline using prediction and reproducibility performance metrics: I. A preliminary group analysis.

    Stephen Strother;Stephen La Conte;Lars Kai Hansen;Jon Anderson

  • Abnormal cerebral glucose metabolism in HIV-1 seropositive subjects with and without dementia.

    David A. Rottenberg;John J. Sidtis;Stephen C. Strother;Kirt A. Schaper

Frequent Co-Authors

Lars Kai Hansen
Lars Kai Hansen Technical University of Denmark
Sandra E. Black
Sandra E. Black University of Toronto
John J. Sidtis
John J. Sidtis New York University
Sidney H. Kennedy
Sidney H. Kennedy University Health Network
Glenda MacQueen
Glenda MacQueen University of Calgary
Richard H. Swartz
Richard H. Swartz Sunnybrook Health Science Centre
Miles N. Wernick
Miles N. Wernick Illinois Institute of Technology
Mario Masellis
Mario Masellis Sunnybrook Health Science Centre
Roumen Milev
Roumen Milev Queen's University
Raymond W. Lam
Raymond W. Lam University of British Columbia

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