World's Best Scientists 2026 revealed!

D-Index & Metrics

Psychology

D-Index
97
Citations
35043
World Ranking
708
National Ranking
445

Neuroscience

D-Index
103
Citations
39341
World Ranking
685
National Ranking
382

Ken Nakayama 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 Ken Nakayama 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: 330 publications — 86th percentile

86% of scientists in this discipline score the same or lower.

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

Ken Nakayama 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 Ken Nakayama 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: 103 D-Index — 93rd percentile

93% 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

  • 2017 - Golden Brain Award, Minerva Foundation
  • 1998 - Fellow of the American Academy of Arts and Sciences

Overview

Ken Nakayama is affiliated with Harvard University in the United States. Their research spans multiple fields, including Neuroscience, Psychology, and Medicine, with a focus on Cognitive Neuroscience, Clinical Biochemistry, Physiology, Psychiatry and Mental Health, and Experimental and Cognitive Psychology.

The main topics covered in their research include Advanced Glycation End Products research, Alzheimer's disease research and treatments, Dementia and Cognitive Impairment Research, Visual perception and processing mechanisms, Multisensory perception and integration, Aesthetic Perception and Analysis, and Child and Animal Learning Development.

Their recent publications highlight diverse aspects of these fields. Notable papers include:

  • Use of skin advanced glycation end product levels measured using a simple noninvasive method as a biological marker for the diagnosis of neuropsychiatric diseases, 2020, International Journal of Methods in Psychiatric Research
  • Radial bias alters high-level motion perception, 2023, Vision Research
  • The ability to predict actions of others from distributed cues is still developing in 6- to 8-year-old children, 2021, Journal of Vision

Frequent co-authors in their research collaborations include Hiroki Yamashita, Eriko Fukushima, K. Shimomura, Hitoki Hirose, and Narihiro Orimo.

Their publications appear in journals such as the International Journal of Methods in Psychiatric Research, Vision Research, and the Journal of Vision.

Ken Nakayama has received recognition in the field with the Golden Brain Award from the Minerva Foundation in 2017 and was named a Fellow of the American Academy of Arts and Sciences in 1998.

Best Publications

  • Priming of pop-out: I. Role of features

    Vera Maljkovic;Ken Nakayama

  • Sustained and transient components of focal visual attention.

    Ken Nakayama;Manfred Mackeben

  • Serial and parallel processing of visual feature conjunctions

    Ken Nakayama;Gerald H. Silverman

  • The Cambridge Face Memory Test: results for neurologically intact individuals and an investigation of its validity using inverted face stimuli and prosopagnosic participants.

    Brad Duchaine;Ken Nakayama

  • Biological image motion processing: A review

    Ken Nakayama

  • Binocular Rivalry and Visual Awareness in Human Extrastriate Cortex

    Frank Tong;Ken Nakayama;J.Thomas Vaughan;Nancy Kanwisher;Nancy Kanwisher

  • Sleep-dependent learning: a nap is as good as a night.

    Sara Mednick;Ken Nakayama;Robert Stickgold

  • Is the Web as good as the lab? Comparable performance from Web and lab in cognitive/perceptual experiments

    Laura Germine;Laura Germine;Ken Nakayama;Bradley C. Duchaine;Christopher F. Chabris

  • Priming of pop-out: II. The role of position.

    Vera Maljkovic;Ken Nakayama

  • Super-recognizers: People with extraordinary face recognition ability

    Richard Russell;Brad Duchaine;Ken Nakayama

  • Human face recognition ability is specific and highly heritable

    Jeremy B. Wilmer;Laura Germine;Christopher F. Chabris;Garga Chatterjee

  • Attentional requirements in a 'preattentive' feature search task

    Julian S. Joseph;Marvin M. Chun;Ken Nakayama

  • The role of attention in different visual-search tasks.

    Mary J. Bravo;Ken Nakayama

  • The effect of face inversion on the human fusiform face area

    Nancy Kanwisher;Frank Tong;Ken Nakayama

  • Optical velocity patterns, velocity-sensitive neurons, and space perception: a hypothesis.

    K Nakayama;J M Loomis

  • Stereoscopic Depth: Its Relation to Image Segmentation, Grouping, and the Recognition of Occluded Objects

    Ken Nakayama;Shinsuke Shimojo;Gerald H Silverman

  • Fitting the Mind to the World: Face Adaptation and Attractiveness Aftereffects

    Gillian Rhodes;Linda Jeffery;Tamara L. Watson;Colin W.G. Clifford

  • Visual surface representation: a critical link between lower-level and higher level vision

    K. Nakayama;Z. J. He;S. Shimojo;S. M Kosslyn

  • Experiencing and perceiving visual surfaces

    Ken Nakayama;Shinsuke Shimojo

  • Robust representations for faces: Evidence from visual search.

    Frank Tong;Ken Nakayama

  • Hidden cognitive states revealed in choice reaching tasks.

    Joo-Hyun Song;Ken Nakayama

Frequent Co-Authors

Bradley Duchaine
Bradley Duchaine Dartmouth College
Shinsuke Shimojo
Shinsuke Shimojo California Institute of Technology
Christopher W. Tyler
Christopher W. Tyler Smith-Kettlewell Eye Research Institute
George A. Alvarez
George A. Alvarez Harvard University
Philip S. Holzman
Philip S. Holzman Harvard University
Christopher F. Chabris
Christopher F. Chabris Geisinger Health System
Nikolaus F. Troje
Nikolaus F. Troje York University
Nalini Ambady
Nalini Ambady Stanford University
Alfonso Caramazza
Alfonso Caramazza Harvard University
Marvin M. Chun
Marvin M. Chun Yale University

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