World's Best Scientists 2026 revealed!
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Engineering and Technology
USA
2026

D-Index & Metrics

Neuroscience

D-Index
95
Citations
37496
World Ranking
896
National Ranking
480

Engineering and Technology

D-Index
88
Citations
33816
World Ranking
313
National Ranking
106

Brian A. Wandell publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Brian A. Wandell sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 340 publications — 82nd percentile

82% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Brian A. Wandell D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Brian A. Wandell sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 88 D-Index — 97th percentile

97% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Research.com Recognitions

  • 2026 - Research.com Engineering and Technology in United States Leader Award
  • 2025 - Research.com Engineering and Technology in United States Leader Award
  • 2011 - Fellow of the American Academy of Arts and Sciences
  • 2003 - Member of the National Academy of Sciences
  • 1987 - Troland Research Awards, United States National Academy of Sciences For their elegant account of how we preserve the inherent colors of surfaces despite wide variations in illumination, and of Wandell's other fundamental investigations of color vision.

Overview

Brian A. Wandell is affiliated with Stanford University in the United States. Their research primarily spans the fields of Medicine and Neuroscience, with significant contributions across subfields including Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Atomic and Molecular Physics and Optics, and Molecular Biology.

Their work covers a range of main topics in neuroscience and vision science, such as:

  • Visual perception and processing mechanisms
  • Neural dynamics and brain function
  • Advanced MRI Techniques and Applications
  • Functional Brain Connectivity Studies
  • Retinal Development and Disorders
  • Advanced Neuroimaging Techniques and Applications
  • Color Science and Applications

Among recent publications associated with Wandell, several notable papers include:

  • "A validation framework for neuroimaging software: The case of population receptive fields," 2020, published in PLoS Computational Biology
  • "The human connectome project for disordered emotional states: Protocol and rationale for a research domain criteria study of brain connectivity in young adult anxiety and depression," 2020, published in NeuroImage
  • "Neural Network Generalization: The Impact of Camera Parameters," 2020, published in IEEE Access
  • "Population Receptive Field Shapes in Early Visual Cortex Are Nearly Circular," 2021, published in Journal of Neuroscience
  • "V1 Projection Zone Signals in Human Macular Degeneration Depend on Task Despite Absence of Visual Stimulus," 2020, published in Current Biology

Frequent collaborators in their research include Joyce Farrell, Garikoitz Lerma-Usabiaga, Zheng Lyu, David H. Brainard, and Jonathan Winawer. Wandell has contributed multiple papers to several scientific venues, with a concentration of publications in bioRxiv (Cold Spring Harbor Laboratory), Journal of Vision, arXiv (Cornell University), IEEE Access, and Electronic Imaging.

Brian A. Wandell has received several notable awards, including:

  • Fellow of the American Academy of Arts and Sciences, 2011
  • Member of the National Academy of Sciences, 2003
  • Troland Research Awards from the United States National Academy of Sciences, 1987, recognized for work on color vision and investigations of color perception under varying illumination conditions

Best Publications

  • Interpreting the BOLD signal.

    Nikos K. Logothetis;Brian A. Wandell

  • Retinotopic organization in human visual cortex and the spatial precision of functional MRI.

    Stephen A. Engel;Gary H. Glover;Brian A. Wandell

  • Visual Field Maps in Human Cortex

    Brian A. Wandell;Serge O. Dumoulin;Alyssa A. Brewer

  • Population receptive field estimates in human visual cortex

    Serge O. Dumoulin;Brian A. Wandell

  • Color constancy: a method for recovering surface spectral reflectance

    Laurence T. Maloney;Brian A. Wandell

  • fMRI of human visual cortex

    Stephen A. Engel;David E. Rumelhart;Brian A. Wandell;Adrian T. Lee

  • Tract Profiles of White Matter Properties: Automating Fiber-Tract Quantification

    Jason D. Yeatman;Robert F. Dougherty;Nathaniel J. Myall;Brian A. Wandell

  • Visual field representations and locations of visual areas V1/2/3 in human visual cortex.

    Robert F. Dougherty;Volker M. Koch;Alyssa A. Brewer;Bernd Fischer

  • A spatial extension of CIELAB for digital color‐image reproduction

    X. Zhang;B. A. Wandell

  • Analysis of the retinex theory of color vision.

    David H. Brainard;Brian A. Wandell

  • Children's reading performance is correlated with white matter structure measured by diffusion tensor imaging.

    Gayle K. Deutsch;Robert F. Dougherty;Roland Bammer;Wai Ting Siok

  • Colour tuning in human visual cortex measured with functional magnetic resonance imaging.

    Stephen A Engel;Stephen A Engel;Xuemei Zhang;Brian Wandell

  • Visual field maps and stimulus selectivity in human ventral occipital cortex

    Alyssa A Brewer;Junjie Liu;Alex R Wade;Brian A Wandell

  • Lifespan maturation and degeneration of human brain white matter.

    Jason D. Yeatman;Brian A. Wandell;Aviv A. Mezer

  • Linear models of surface and illuminant spectra

    David H. Marimont;Brian A. Wandell

  • Imaging retinotopic maps in the human brain

    Brian A. Wandell;Jonathan Winawer

  • Standard surface-reflectance model and illuminant estimation

    Shoji Tominaga;Brian A. Wandell

  • Creating connected representations of cortical gray matter for functional MRI visualization

    P.C. Teo;G. Sapiro;B.A. Wandell

  • Visual field maps, population receptive field sizes, and visual field coverage in the human MT+ complex.

    Kaoru Amano;Brian A. Wandell;Serge O. Dumoulin;Serge O. Dumoulin

  • Development of white matter and reading skills

    Jason D. Yeatman;Robert F. Dougherty;Michal Ben-Shachar;Brian A. Wandell

Frequent Co-Authors

Robert F. Dougherty
Robert F. Dougherty Stanford University
Jonathan Winawer
Jonathan Winawer New York University
David H. Brainard
David H. Brainard University of Pennsylvania
Franco Pestilli
Franco Pestilli The University of Texas at Austin
Peter B. Catrysse
Peter B. Catrysse Stanford University
Nikos K. Logothetis
Nikos K. Logothetis Chinese Academy of Sciences
E. J. Chichilnisky
E. J. Chichilnisky Stanford University
Kendrick Kay
Kendrick Kay University of Minnesota
Laurence T. Maloney
Laurence T. Maloney New York University
Serge O. Dumoulin
Serge O. Dumoulin Vrije Universiteit Amsterdam

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