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Scott T. Grafton

D-Index & Metrics

Neuroscience

D-Index
113
Citations
55754
World Ranking
482
National Ranking
283

Scott T. Grafton 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 Scott T. Grafton 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: 373 publications — 89th percentile

89% of scientists in this discipline score the same or lower.

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

Scott T. Grafton 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 Scott T. Grafton 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: 113 D-Index — 95th percentile

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

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

Research.com Recognitions

  • 2013 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

Scott T. Grafton is affiliated with the University of California, Santa Barbara in the United States. Their work focuses primarily on the fields of Neuroscience and Medicine, with significant contributions in subfields such as Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Neurology, Computer Vision and Pattern Recognition, and Social Psychology.

Their research spans several main topics, including:

  • Advanced Neuroimaging Techniques and Applications
  • Functional Brain Connectivity Studies
  • Advanced MRI Techniques and Applications
  • Neural dynamics and brain function
  • Motor Control and Adaptation
  • Neural and Behavioral Psychology Studies
  • EEG and Brain-Computer Interfaces

Scott T. Grafton's recent publications illustrate their focus on brain imaging and functional studies. Key papers include:

  • "QSIPrep: an integrative platform for preprocessing and reconstructing diffusion MRI data," 2021, published in Nature Methods
  • "Functional reorganization of brain networks across the human menstrual cycle," 2020, published in NeuroImage
  • "Progesterone shapes medial temporal lobe volume across the human menstrual cycle," 2020, published in NeuroImage
  • "Dynamic community detection reveals transient reorganization of functional brain networks across a female menstrual cycle," 2020, published in Network Neuroscience
  • "Subjective value then confidence in human ventromedial prefrontal cortex," 2020, published in PLoS ONE

The scientist has collaborated frequently with a number of coauthors, including:

  • Barry Giesbrecht
  • Matthew Cieslak
  • Neil M. Dundon
  • Gereon R. Fink
  • Lukas J. Volz

Their work has appeared repeatedly in specific publication venues, reflecting ongoing research relationships, with the top outlets being:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Clinical Neurophysiology
  • Scientific Reports
  • Human Brain Mapping
  • arXiv (Cornell University)

They were recognized as a Fellow of the American Association for the Advancement of Science (AAAS) in 2013.

Best Publications

  • Wandering Minds: The Default Network and Stimulus-Independent Thought

    Malia F. Mason;Michael I. Norton;John D. Van Horn;Daniel M. Wegner

  • Dynamic reconfiguration of human brain networks during learning.

    Danielle S. Bassett;Nicholas F. Wymbs;Mason A. Porter;Peter J. Mucha

  • Forward modeling allows feedback control for fast reaching movements

    Michel Desmurget;Scott Grafton

  • Localization of grasp representations in humans by positron emission tomography. 2. Observation compared with imagination.

    Scott T. Grafton;Michael A. Arbib;Luciano Fadiga;Giacomo Rizzolatti

  • Amygdala activity related to enhanced memory for pleasant and aversive stimuli.

    Stephan B. Hamann;Timothy D. Ely;Scott T. Grafton;Clinton D. Kilts

  • Role of the posterior parietal cortex in updating reaching movements to a visual target.

    M. Desmurget;M. Desmurget;C. M. Epstein;R. S. Turner;C. Prablanc

  • Building a motor simulation de novo: observation of dance by dancers.

    Emily S. Cross;Antonia F. de C. Hamilton;Scott T. Grafton

  • Controllability of structural brain networks.

    Shi Gu;Fabio Pasqualetti;Matthew Cieslak;Qawi K. Telesford

  • Functional mapping of sequence learning in normal humans

    Scott T. Grafton;Eliot Hazeltine;Richard Ivry

  • Premotor Cortex Activation during Observation and Naming of Familiar Tools

    Scott T. Grafton;Luciano Fadiga;Michael A. Arbib;Giacomo Rizzolatti

  • Survival of implanted fetal dopamine cells and neurologic improvement 12 to 46 months after transplantation for Parkinson's disease.

    Freed Cr;Breeze Re;Rosenberg Nl;Schneck Sa

  • Functional anatomy of human procedural learning determined with regional cerebral blood flow and PET

    Scott T. Grafton;John C. Mazziotta;Sharon Presty;Karl J. Friston

  • Functional imaging of face and hand imitation: towards a motor theory of empathy.

    Kenneth R Leslie;Scott H Johnson-Frey;Scott T Grafton

  • Involvement of visual cortex in tactile discrimination of orientation.

    Andro Zangaladze;Charles M. Epstein;Scott T. Grafton;Krishnankutty Sathian

  • Learning-induced autonomy of sensorimotor systems

    Danielle S Bassett;Muzhi Yang;Nicholas F Wymbs;Scott T Grafton

  • A Distributed Left Hemisphere Network Active During Planning of Everyday Tool Use Skills

    Scott H. Johnson-Frey;Roger Newman-Norlund;Scott T. Grafton

  • Structural foundations of resting-state and task-based functional connectivity in the human brain

    Ann M. Hermundstad;Danielle S. Bassett;Kevin S. Brown;Kevin S. Brown;Elissa M. Aminoff

  • Goal representation in human anterior intraparietal sulcus.

    Antonia F. de C. Hamilton;Scott T. Grafton

  • Evidence for a distributed hierarchy of action representation in the brain.

    Scott T. Grafton;Antonia F. de C. Hamilton

  • Sensitivity of the Action Observation Network to Physical and Observational Learning

    Emily S. Cross;Emily S. Cross;David J. M. Kraemer;David J. M. Kraemer;Antonia F. de C. Hamilton;William M. Kelley

  • Attention and stimulus characteristics determine the locus of motor–sequence encoding a PET study.

    Eliot Hazeltine;Scott T. Grafton;Richard Ivry

Frequent Co-Authors

Danielle S. Bassett
Danielle S. Bassett University of Pennsylvania
Jean M. Vettel
Jean M. Vettel United States Army Research Laboratory
Michael B. Miller
Michael B. Miller University of California, Santa Barbara
John C. Mazziotta
John C. Mazziotta University of California, Los Angeles
John M. Hoffman
John M. Hoffman University of Utah
Michel Desmurget
Michel Desmurget Centre national de la recherche scientifique, CNRS
Michael S. Gazzaniga
Michael S. Gazzaniga University of California, Santa Barbara
Antonia F. de C. Hamilton
Antonia F. de C. Hamilton University College London
Emily S. Cross
Emily S. Cross University of Glasgow
John D. Van Horn
John D. Van Horn University of Virginia

External Links

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Related Online Degrees & Career Pathways

If you're interested in studying neuroscience, exploring related online degrees can open up a range of rewarding career pathways. Many students pair their neuroscience background with advanced studies in psychology or social sciences to expand professional options.

For those seeking flexibility, the most affordable online psychology degree programs offer entry-level options that build foundational knowledge useful for many health and science careers. With a neuroscience undergraduate degree, you might also pursue masters programs in psychology online to deepen your skills in research or clinical work.

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Combining neuroscience with psychology, counseling, or social work enhances your understanding of the human mind and prepares you for an array of roles in healthcare, research, and community services.

Best Scientists Citing Scott T. Grafton

Danielle S. Bassett

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Publications: 258

Arthur W. Toga

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Paul M. Thompson

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Susumu Mori

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Johns Hopkins University School of Medicine

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Mark Hallett

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National Institutes of Health

Publications: 94

Simon B. Eickhoff

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Heinrich Heine University Düsseldorf

Publications: 90

Giacomo Rizzolatti

Giacomo Rizzolatti

University of Parma

Publications: 82

Jonathan Smallwood

Jonathan Smallwood

Queen's University

Publications: 78

Luciano Fadiga

Luciano Fadiga

Italian Institute of Technology

Publications: 76

Karl J. Friston

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University College London

Publications: 76

Gereon R. Fink

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University of Cologne

Publications: 72

Peter C.M. van Zijl

Peter C.M. van Zijl

Kennedy Krieger Institute

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Richard F. Betzel

Richard F. Betzel

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Umberto Castiello

Umberto Castiello

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Emily S. Cross

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