World's Best Scientists 2026 revealed!
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Bruce Fischl

D-Index & Metrics

Medicine

D-Index
136
Citations
173661
World Ranking
1925
National Ranking
1093

Neuroscience

D-Index
136
Citations
173390
World Ranking
220
National Ranking
142

Bruce Fischl 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 Bruce Fischl 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: 470 publications — 94th percentile

94% of scientists in this discipline score the same or lower.

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

Bruce Fischl 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 Bruce Fischl 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: 136 D-Index — 98th percentile

98% of scientists in this discipline score the same or lower.

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

Overview

Bruce Fischl is affiliated with Harvard University in the United States. Their research primarily spans the field of Medicine, with a focus on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Biomedical Engineering, Cognitive Neuroscience, and Biophysics. The main topics of their work include:

  • Advanced Neuroimaging Techniques and Applications
  • Advanced MRI Techniques and Applications
  • Functional Brain Connectivity Studies
  • Medical Image Segmentation Techniques
  • Optical Coherence Tomography Applications
  • Medical Imaging Techniques and Applications
  • Radiomics and Machine Learning in Medical Imaging

Bruce Fischl has contributed to various frequent publication venues, notably:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • arXiv (Cornell University)
  • NeuroImage
  • Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
  • Alzheimer's & Dementia

Some of the recent research papers authored or co-authored by Bruce Fischl include:

  • FastSurfer - A fast and accurate deep learning based neuroimaging pipeline (2020, NeuroImage)
  • SynthSeg: Segmentation of brain MRI scans of any contrast and resolution without retraining (2023, Medical Image Analysis)
  • Infant FreeSurfer: An automated segmentation and surface extraction pipeline for T1-weighted neuroimaging data of infants 0-2 years (2020, NeuroImage)
  • SynthSR: A public AI tool to turn heterogeneous clinical brain scans into high-resolution T1-weighted images for 3D morphometry (2023, Science Advances)
  • Test-retest reliability of FreeSurfer automated hippocampal subfield segmentation within and across scanners (2020, NeuroImage)

Bruce Fischl has collaborated extensively with several researchers, including the following frequent co-authors:

  • Adrian V. Dalca
  • Juan Eugenio Iglesias
  • Brian L. Edlow
  • Jean C. Augustinack
  • Yaël Balbastre

Best Publications

  • An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest.

    Rahul S. Desikan;Florent Ségonne;Bruce Fischl;Bruce Fischl;Brian T. Quinn

  • Cortical surface-based analysis. I. Segmentation and surface reconstruction

    Anders M. Dale;Bruce Fischl;Martin I. Sereno

  • The organization of the human cerebral cortex estimated by intrinsic functional connectivity

    B. T. Thomas Yeo;Fenna M. Krienen;Jorge Sepulcre;Jorge Sepulcre;Mert R. Sabuncu;Mert R. Sabuncu

  • Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain.

    Bruce Fischl;David H. Salat;Evelina Busa;Marilyn Albert

  • FreeSurfer

    Unknown

  • Cortical Surface-Based Analysis II: Inflation, Flattening, and a Surface-Based Coordinate System

    Bruce Fischl;Martin I. Sereno;Anders M. Dale

  • Measuring the thickness of the human cerebral cortex from magnetic resonance images

    Bruce Fischl;Anders M. Dale

  • The minimal preprocessing pipelines for the Human Connectome Project.

    Matthew F. Glasser;Stamatios N. Sotiropoulos;J. Anthony Wilson;Timothy S. Coalson

  • Automatically Parcellating the Human Cerebral Cortex

    Bruce Fischl;André van der Kouwe;Christophe Destrieux;Eric Halgren

  • Accurate and robust brain image alignment using boundary-based registration.

    Douglas N. Greve;Bruce Fischl

  • High-resolution intersubject averaging and a coordinate system for the cortical surface.

    Bruce Fischl;Martin I. Sereno;Roger B.H. Tootell;Anders M. Dale

  • Automatic parcellation of human cortical gyri and sulci using standard anatomical nomenclature

    Christophe Destrieux;Bruce Fischl;Bruce Fischl;Anders M. Dale;Eric Halgren

  • Meditation experience is associated with increased cortical thickness

    Sara W. Lazar;Catherine E. Kerr;Rachel H. Wasserman;Jeremy R. Gray

  • A Hybrid Approach to the Skull Stripping Problem in MRI

    Florent Ségonne;Anders M. Dale;Evelina Busa;Maureen Glessner

  • Within-Subject Template Estimation for Unbiased Longitudinal Image Analysis

    Martin Reuter;Nicholas J. Schmansky;H. Diana Rosas;Bruce Fischl;Bruce Fischl

  • Sequence-independent segmentation of magnetic resonance images.

    Bruce Fischl;Bruce Fischl;David H. Salat;André J.W. van der Kouwe;Nikos Makris

  • Thinning of the cerebral cortex in aging

    David H. Salat;Randy L. Buckner;Randy L. Buckner;Abraham Z. Snyder;Douglas N. Greve

  • Dynamic Statistical Parametric Mapping: Combining fMRI and MEG for High-Resolution Imaging of Cortical Activity

    Anders M. Dale;Arthur K. Liu;Bruce R. Fischl;Randy L. Buckner

  • Automated manifold surgery: constructing geometrically accurate and topologically correct models of the human cerebral cortex

    B. Fischl;A. Liu;A.M. Dale

  • Mechanisms of migraine aura revealed by functional MRI in human visual cortex

    Nouchine Hadjikhani;Margarita Sanchez del Rio;Ona Wu;Denis Schwartz

  • Reliability of MRI-derived measurements of human cerebral cortical thickness: the effects of field strength, scanner upgrade and manufacturer.

    Xiao Han;Jorge Jovicich;David Salat;Andre van der Kouwe

Frequent Co-Authors

Anders M. Dale
Anders M. Dale J. Craig Venter Institute
David H. Salat
David H. Salat Harvard University
Douglas N. Greve
Douglas N. Greve Harvard University
Randy L. Buckner
Randy L. Buckner Harvard University
André J. W. van der Kouwe
André J. W. van der Kouwe Harvard University
Jean C. Augustinack
Jean C. Augustinack Harvard University
Martin Reuter
Martin Reuter University of Bonn
Lawrence L. Wald
Lawrence L. Wald Harvard University
Polina Golland
Polina Golland MIT
William S. Kremen
William S. Kremen University of California, San Diego

External Links

Personal website of Bruce Fischl Google Scholar page

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Related Online Degrees & Career Pathways

Pursuing a neuroscience degree in the USA opens doors to diverse career options within the fields of mental health, counseling, and psychology. Many students interested in brain sciences also explore alternative or complementary pathways to broaden their skills and career prospects.

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Choosing any of these pathways can enhance your understanding of the human mind and behavior, complementing a foundation in neuroscience while expanding your professional horizons.

Best Scientists Citing Bruce Fischl

Paul M. Thompson

Paul M. Thompson

University of Southern California

Publications: 571

Anders M. Dale

Anders M. Dale

J. Craig Venter Institute

Publications: 318

Arthur W. Toga

Arthur W. Toga

University of Southern California

Publications: 294

Dinggang Shen

Dinggang Shen

ShanghaiTech University

Publications: 275

Lars T. Westlye

Lars T. Westlye

University of Oslo

Publications: 256

Ole A. Andreassen

Ole A. Andreassen

Oslo University Hospital

Publications: 245

Kristine B. Walhovd

Kristine B. Walhovd

Oslo University Hospital

Publications: 230

Vince D. Calhoun

Vince D. Calhoun

Georgia State University

Publications: 220

Anders M. Fjell

Anders M. Fjell

Oslo University Hospital

Publications: 219

Clifford R. Jack

Clifford R. Jack

Mayo Clinic

Publications: 215

Reisa A. Sperling

Reisa A. Sperling

Brigham and Women's Hospital

Publications: 189

Neda Jahanshad

Neda Jahanshad

University of Southern California

Publications: 189

Ingrid Agartz

Ingrid Agartz

University of Oslo

Publications: 165

Alan C. Evans

Alan C. Evans

McGill University

Publications: 160

Matti Hämäläinen

Matti Hämäläinen

Harvard Medical School

Publications: 158

M. Mallar Chakravarty

M. Mallar Chakravarty

McGill University

Publications: 152

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