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Neuroscience
USA
2026

D-Index & Metrics

Medicine

D-Index
156
Citations
104778
World Ranking
908
National Ranking
514

Neuroscience

D-Index
156
Citations
104158
World Ranking
128
National Ranking
87

Kamil Ugurbil 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 Kamil Ugurbil 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: 749 publications — 98th percentile

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

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

Kamil Ugurbil 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 Kamil Ugurbil 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: 156 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.

Research.com Recognitions

  • 2026 - Research.com Neuroscience in United States Leader Award
  • 2025 - Research.com Neuroscience in United States Leader Award
  • 2019 - IEEE Medal for Innovations in Healthcare Technology “For pioneering the development and leading the advancement of ultra-high-field MRI technology for biomedical and brain research.”
  • 2014 - Fellow, National Academy of Inventors
  • 2007 - Member of the National Academy of Medicine (NAM)
  • 2005 - Fellow of the American Academy of Arts and Sciences
  • The Science Academy Society of Turkey - Bilim Akademisi Engineering/Medicine
  • The Science Academy Society of Turkey - Bilim Akademisi Engineering/Medicine
  • The Science Academy Society of Turkey - Bilim Akademisi Engineering/Medicine
  • The Science Academy Society of Turkey - Bilim Akademisi Engineering/Medicine
  • The Science Academy Society of Turkey - Bilim Akademisi Engineering/Medicine

Overview

Kamil Ugurbil is affiliated with the University of Minnesota in the United States and specializes in the field of Medicine, with a particular emphasis on Radiology, Nuclear Medicine and Imaging. Their research spans subfields such as Cognitive Neuroscience, Biomedical Engineering, Atomic and Molecular Physics, and Spectroscopy.

Their work covers several prominent topics including:

  • Advanced MRI Techniques and Applications
  • Functional Brain Connectivity Studies
  • Advanced Neuroimaging Techniques and Applications
  • Atomic and Subatomic Physics Research
  • Advanced NMR Techniques and Applications
  • Medical Imaging Techniques and Applications
  • Wireless Body Area Networks

Kamil Ugurbil has coauthored frequently with scholars such as Gregor Adriany, Essa Yacoub, Steen Moeller, Russell Lagore, and Matt Waks.

The primary venues for their publications include:

  • 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
  • Magnetic Resonance in Medicine
  • bioRxiv (Cold Spring Harbor Laboratory)
  • NeuroImage
  • arXiv (Cornell University)

Examples of recent publications with year and venue are:

  • "Self-supervised learning of physics-guided reconstruction neural networks without fully sampled reference data", 2020, Magnetic Resonance in Medicine
  • "The Human Connectome Project: A retrospective", 2021, NeuroImage
  • "Lowering the thermal noise barrier in functional brain mapping with magnetic resonance imaging", 2021, Nature Communications
  • "NOise reduction with DIstribution Corrected (NORDIC) PCA in dMRI with complex-valued parameter-free locally low-rank processing", 2020, NeuroImage
  • "Magnetic field strength dependent SNR gain at the center of a spherical phantom and up to 11.7T", 2022, Magnetic Resonance in Medicine

Kamil Ugurbil's contributions have been recognized through various awards and honors, including the IEEE Medal for Innovations in Healthcare Technology in 2019 for advancements in ultra-high-field MRI technology. They have been named a Fellow of the National Academy of Inventors in 2014, a Member of the National Academy of Medicine since 2007, and a Fellow of the American Academy of Arts and Sciences since 2005. Additionally, they are associated with The Science Academy Society of Turkey - Bilim Akademisi in the areas of Engineering and Medicine.

Best Publications

  • The WU-Minn Human Connectome Project: An Overview

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

  • A multi-modal parcellation of human cerebral cortex

    Matthew F. Glasser;Timothy S. Coalson;Emma C. Robinson;Emma C. Robinson;Carl D. Hacker

  • INTRINSIC SIGNAL CHANGES ACCOMPANYING SENSORY STIMULATION: FUNCTIONAL BRAIN MAPPING WITH MAGNETIC RESONANCE IMAGING

    Seiji Ogawa;David W. Tank;Ravi Menon;Jutta M. Ellermann

  • The Human Connectome Project: A data acquisition perspective

    D. C. Van Essen;Kamil Ugurbil;Edward J Auerbach

  • Functional brain mapping by blood oxygenation level-dependent contrast magnetic resonance imaging. A comparison of signal characteristics with a biophysical model.

    S. Ogawa;R. S. Menon;D. W. Tank;S. G. Kim

  • Multiband Multislice GE-EPI at 7 Tesla, With 16-Fold Acceleration Using Partial Parallel Imaging With Application to High Spatial and Temporal Whole-Brain FMRI

    Steen Moeller;Essa Yacoub;Cheryl A. Olman;Edward Auerbach

  • Resting-state fMRI in the Human Connectome Project

    S M Smith;C F Beckmann;J Andersson;E J Auerbach

  • NMR chemical shift imaging in three dimensions

    T R Brown;B M Kincaid;K Ugurbil

  • Multiplexed echo planar imaging for sub-second whole brain fmri and fast diffusion imaging

    David A. Feinberg;David A. Feinberg;Steen Moeller;Stephen M. Smith;Edward J Auerbach

  • ICA-based artefact removal and accelerated fMRI acquisition for improved resting state network imaging

    Ludovica Griffanti;Ludovica Griffanti;Gholamreza Salimi-Khorshidi;Christian F. Beckmann;Edward J. Auerbach

  • Functional magnetic resonance imaging of motor cortex;hemispheric asymmetry and handedness

    Seong Gi Kim;James Ashe;Kristy Hendrich;Jutta M Ellermann

  • The Human Connectome Project's neuroimaging approach

    Matthew F Glasser;Stephen M Smith;Daniel S Marcus;Jesper L R Andersson

  • 7T vs. 4T: RF power, homogeneity, and signal-to-noise comparison in head images.

    J. T Vaughan;Michael Garwood;C. M. Collins;W. Liu

  • Functional connectomics from resting-state fMRI

    S.M. Smith;D. Vidaurre;Christian Beckmann;Christian Beckmann;Christian Beckmann;M.F. Glasser

  • Advances in diffusion MRI acquisition and processing in the Human Connectome Project.

    Stamatios N. Sotiropoulos;Saâd Jbabdi;Junqian Xu;Jesper L. R. Andersson

  • Pushing spatial and temporal resolution for functional and diffusion MRI in the Human Connectome Project

    Kamil Ugurbil;Junqian Xu;Edward J. Auerbach;Steen Moeller

  • A positive-negative mode of population covariation links brain connectivity, demographics and behavior

    S M Smith;T E Nichols;D Vidaurre;A M Winkler

  • Temporally-independent functional modes of spontaneous brain activity

    Stephen M. Smith;Karla L. Miller;Steen Moeller;Junqian Xu

  • Magnetic field and tissue dependencies of human brain longitudinal 1H2O relaxation in vivo.

    William D. Rooney;Glyn Johnson;Xin Li;Xin Li;Eric R. Cohen

  • Analysis of fMRI and finger tracking training in subjects with chronic stroke

    James R Carey;PT Teresa J Kimberley;Scott M. Lewis;Scott M. Lewis;Edward J Auerbach

  • Sustained Negative BOLD, Blood Flow and Oxygen Consumption Response and Its Coupling to the Positive Response in the Human Brain

    Amir Shmuel;Essa Yacoub;Josef Pfeuffer;Pierre Francois Van de Moortele

Frequent Co-Authors

Essa Yacoub
Essa Yacoub University of Minnesota
Pierre-Francois Van de Moortele
Pierre-Francois Van de Moortele University of Minnesota
Seong-Gi Kim
Seong-Gi Kim Sungkyunkwan University
Wei Chen
Wei Chen University of Minnesota
Xiao Hong Zhu
Xiao Hong Zhu University of Minnesota
Xiaoping Hu
Xiaoping Hu University of California, Riverside
Federico De Martino
Federico De Martino Maastricht University
Dae-Shik Kim
Dae-Shik Kim Korea Advanced Institute of Science and Technology
Seiji Ogawa
Seiji Ogawa Osaka University
Robert J. Bache
Robert J. Bache University of Minnesota

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