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Scott T. Grafton

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Neuroscience 113 482 436 283 251 373 55754

Scott T. Grafton publications per year

The chart shows the history of publications by Scott T. Grafton between 1988 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Scott T. Grafton published across 38 years, from 1988 to 2025, averaging 11.1 papers a year. Output peaked at 25 publications in 2012. 24 of the 423 publications appeared in the last two years.

No. of publications
5 10 15 20 25
Bar chart. Horizontal axis: year, 1988 to 2025. Vertical axis: number of publications, 0 to 25. Peak 25 publications in 2012. 1988: 2 publications 1989: 2 publications 1990: 6 publications 1991: 6 publications 1992: 9 publications 1993: 3 publications 1994: 10 publications 1995: 7 publications 1996: 5 publications 1997: 6 publications 1998: 13 publications 1999: 10 publications 2000: 9 publications 2001: 10 publications 2002: 5 publications 2003: 13 publications 2004: 9 publications 2005: 9 publications 2006: 12 publications 2007: 13 publications 2008: 10 publications 2009: 15 publications 2010: 8 publications 2011: 10 publications 2012: 25 publications 2013: 11 publications 2014: 10 publications 2015: 23 publications 2016: 16 publications 2017: 19 publications 2018: 16 publications 2019: 14 publications 2020: 19 publications 2021: 8 publications 2022: 19 publications 2023: 17 publications 2024: 15 publications 2025: 9 publications
1988 2025

423 publications in total across all disciplines

View publications per year as a table
Scott T. Grafton: publications per year, 1988 to 2025
Year Publications
1988 2
1989 2
1990 6
1991 6
1992 9
1993 3
1994 10
1995 7
1996 5
1997 6
1998 13
1999 10
2000 9
2001 10
2002 5
2003 13
2004 9
2005 9
2006 12
2007 13
2008 10
2009 15
2010 8
2011 10
2012 25
2013 11
2014 10
2015 23
2016 16
2017 19
2018 16
2019 14
2020 19
2021 8
2022 19
2023 17
2024 15
2025 9
Total 423
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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.

No. of scientists
100 200 300 400 500
Bar chart with 86 bars. Horizontal axis: publications, 38–47 to 887+. Vertical axis: number of scientists, 0 to 539. Most scientists, 539, have 98–107 publications. The last bar groups every scientist with 887 publications or more. The highlighted bar, 368–377 publications, is where this scientist sits. 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 scientist 868–877 publications: 3 scientists 878–886 publications: 6 scientists 887+ publications: 100 scientists
38–47 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.

View publications distribution as a table
Number of Neuroscience scientists by publication count, Research.com 2026 ranking edition. Based on 9,597 ranked scientists.
Publications Scientists This scientist
38–47 18
48–57 79
58–67 193
68–77 323
78–87 406
88–97 452
98–107 539
108–117 505
118–127 522
128–137 469
138–147 456
148–157 459
158–167 397
168–177 383
178–187 350
188–197 302
198–207 306
208–217 262
218–227 242
228–237 220
238–247 203
248–257 174
258–267 176
268–277 175
278–287 125
288–297 116
298–307 127
308–317 128
318–327 99
328–337 89
338–347 78
348–357 96
358–367 66
368–377 59 373
378–387 65
388–397 54
398–407 48
408–417 49
418–427 34
428–437 31
438–447 30
448–457 31
458–467 36
468–477 40
478–487 35
488–497 30
498–507 23
508–517 26
518–527 20
528–537 23
538–547 20
548–557 20
558–567 17
568–577 14
578–587 20
588–597 20
598–607 19
608–617 18
618–627 17
628–637 11
638–647 11
648–657 11
658–667 8
668–677 7
678–687 11
688–697 10
698–707 4
708–717 6
718–727 5
728–737 5
738–747 9
748–757 9
758–767 3
768–777 7
778–787 7
788–797 6
798–807 2
808–817 2
818–827 7
828–837 0
838–847 9
848–857 3
858–867 1
868–877 3
878–886 6
887+ 100
Download as CSV

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.

No. of scientists
100 200 300 400 500
Bar chart with 68 bars. Horizontal axis: D-Index, 30–31 to 163+. Vertical axis: number of scientists, 0 to 512. Most scientists, 512, have 46–47 D-Index. The last bar groups every scientist with 163 D-Index or more. The highlighted bar, 112–113 D-Index, is where this scientist sits. 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
30–31 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.

View D-Index distribution as a table
Number of Neuroscience scientists by D-index, Research.com 2026 ranking edition. Based on 9,597 ranked scientists.
D-Index Scientists This scientist
30–31 42
32–33 172
34–35 296
36–37 435
38–39 459
40–41 456
42–43 467
44–45 478
46–47 512
48–49 435
50–51 425
52–53 418
54–55 392
56–57 357
58–59 334
60–61 328
62–63 260
64–65 278
66–67 239
68–69 250
70–71 210
72–73 200
74–75 189
76–77 170
78–79 146
80–81 113
82–83 126
84–85 100
86–87 84
88–89 99
90–91 84
92–93 85
94–95 72
96–97 76
98–99 45
100–101 49
102–103 43
104–105 32
106–107 45
108–109 50
110–111 32
112–113 39 113
114–115 32
116–117 29
118–119 27
120–121 19
122–123 23
124–125 27
126–127 16
128–129 24
130–131 13
132–133 21
134–135 17
136–137 14
138–139 15
140–141 10
142–143 10
144–145 13
146–147 9
148–149 8
150–151 6
152–153 6
154–155 7
156–157 7
158–159 10
160–161 4
162 8
163+ 100
Download as CSV

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

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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

Danielle S. Bassett

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Publications: 258

Arthur W. Toga

Arthur W. Toga

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Publications: 135

Paul M. Thompson

Paul M. Thompson

University of Southern California

Publications: 97

Susumu Mori

Susumu Mori

Johns Hopkins University School of Medicine

Publications: 97

Mark Hallett

Mark Hallett

National Institutes of Health

Publications: 94

Simon B. Eickhoff

Simon B. Eickhoff

Heinrich Heine University Düsseldorf

Publications: 90

Giacomo Rizzolatti

Giacomo Rizzolatti

University of Parma

Publications: 82

Jonathan Smallwood

Jonathan Smallwood

Queen's University

Publications: 78

Karl J. Friston

Karl J. Friston

University College London

Publications: 76

Luciano Fadiga

Luciano Fadiga

Italian Institute of Technology

Publications: 76

Gereon R. Fink

Gereon R. Fink

University of Cologne

Publications: 72

Peter C.M. van Zijl

Peter C.M. van Zijl

Kennedy Krieger Institute

Publications: 69

Richard F. Betzel

Richard F. Betzel

Indiana University

Publications: 69

Umberto Castiello

Umberto Castiello

University of Padua

Publications: 68

Emily S. Cross

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Publications: 66

Marco Iacoboni

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