World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
46
Citations
8142
World Ranking
6694
National Ranking
186

H. Steven Scholte 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 H. Steven Scholte 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: 150 publications — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

H. Steven Scholte 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 H. Steven Scholte 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: 46 D-Index — 32nd percentile

32% of scientists in this discipline score the same or lower.

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

Overview

H. Steven Scholte is affiliated with the University of Amsterdam in the Netherlands. Their research spans multiple areas within neuroscience, with a predominant focus on cognitive neuroscience and computational approaches to understanding brain function.

Their work encompasses main fields such as Neuroscience and subfields including Cognitive Neuroscience, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Experimental and Cognitive Psychology, and Electrical and Electronic Engineering.

Key research topics covered by Scholte include:

  • Neural dynamics and brain function
  • Visual perception and processing mechanisms
  • Face Recognition and Perception
  • Neural and Behavioral Psychology Studies
  • EEG and Brain-Computer Interfaces
  • Visual Attention and Saliency Detection
  • Advanced Image and Video Retrieval Techniques

Recent publications authored or co-authored by Scholte reflect a range of investigations primarily related to vision, cognitive processing, and neural mechanisms. Selected papers include:

  • The Amsterdam Open MRI Collection, a set of multimodal MRI datasets for individual difference analyses (2021), published in Scientific Data
  • Choosing to view morbid information involves reward circuitry (2020), published in Scientific Reports
  • On the Necessity of Recurrent Processing during Object Recognition: It Depends on the Need for Scene Segmentation (2021), published in Journal of Neuroscience
  • Depth in convolutional neural networks solves scene segmentation (2020), published in PLoS Computational Biology
  • Testing, explaining, and exploring models of facial expressions of emotions (2023), published in Science Advances

Scholte frequently collaborates with several co-authors, including:

  • Noor Seijdel
  • Lynn K. A. Sörensen
  • Edward H.F. de Haan
  • Sander M. Bohté
  • Lukas Snoek

The most common venues for Scholte's publications include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Journal of Vision
  • Journal of Cognitive Neuroscience
  • PLoS Computational Biology
  • Scientific Reports

Best Publications

  • Increased structural connectivity in Grapheme-Color Synesthesia

    Romke Rouw;Steven Scholte

  • Are there multiple visual short-term memory stores?

    Ilja G. Sligte;H. Steven Scholte;Victor A. F. Lamme;Victor A. F. Lamme

  • Masking Disrupts Reentrant Processing in Human Visual Cortex

    J. J. Fahrenfort;H. S. Scholte;V. A. F. Lamme

  • Frontal cortex mediates unconsciously triggered inhibitory control

    Simon van Gaal;K. Richard Ridderinkhof;Johannes J. Fahrenfort;H. Steven Scholte

  • Unconscious Activation of the Prefrontal No-Go Network

    Simon van Gaal;K. Richard Ridderinkhof;H. Steven Scholte;Victor A. F. Lamme

  • Function and structure of the right inferior frontal cortex predict individual differences in response inhibition: A model-based approach

    Birte U. Forstmann;Sara Jahfari;H. Steven Scholte;Uta Wolfensteller

  • Bottom-up and top-down attention are independent.

    Yair Pinto;Andries R van der Leij;Ilja G Sligte;Victor A F Lamme

  • GABA shapes the dynamics of bistable perception

    Anouk M. van Loon;Tomas Knapen;H. Steven Scholte;Elexa St. John-Saaltink;Elexa St. John-Saaltink

  • Brain areas involved in synaesthesia: a review.

    Romke Rouw;H. Steven Scholte;Olympia Colizoli

  • V4 activity predicts the strength of visual short-term memory representations

    I.G. Sligte;H.S. Scholte;V.A.F. Lamme

  • Brain responses strongly correlate with Weibull image statistics when processing natural images

    H.S. Scholte;S. Ghebreab;L. Waldorp;Arnold Smeulders

  • From Image Statistics to Scene Gist: Evoked Neural Activity Reveals Transition from Low-Level Natural Image Structure to Scene Category

    I.I.A. Groen;S. Ghebreab;H. Prins;V.A.F. Lamme

  • Detailed sensory memory, sloppy working memory

    Ilja G. Sligte;Annelinde R. E. Vandenbroucke;H. Steven Scholte;Victor A. F. Lamme

  • Neural Basis of Individual Differences in Synesthetic Experiences

    Unknown

  • Feedforward and recurrent processing in scene segmentation: Electroencephalography and functional magnetic resonance imaging

    H. Steven Scholte;Jacob Jolij;Johannes J. Fahrenfort;Victor A. F. Lamme

  • Confuse Your Illusion Feedback to Early Visual Cortex Contributes to Perceptual Completion

    Martijn E. Wokke;Annelinde R. E. Vandenbroucke;H. Steven Scholte;Victor A. F. Lamme

  • The Amsterdam Open MRI Collection, a set of multimodal MRI datasets for individual difference analyses.

    Lukas Snoek;Maite M. van der Miesen;Maite M. van der Miesen;Tinka Beemsterboer;Andries van der Leij

  • How to control for confounds in decoding analyses of neuroimaging data.

    Lukas Snoek;Steven Miletić;H. Steven Scholte

  • A neural substrate for atypical low-level visual processing in autism spectrum disorder.

    Myriam W. G. Vandenbroucke;H. Steven Scholte;Herman van Engeland;Victor A. F. Lamme

  • Neural pattern similarity predicts long-term fear memory

    Renée M Visser;H Steven Scholte;Tinka Beemsterboer;Merel Kindt

  • Mind the Gap: A Psychometric Approach to the Reduction Problem

    Rogier A. Kievit;Jan-Willem Romeijn;Lourens J. Waldorp;Jelte M. Wicherts

Frequent Co-Authors

Victor A. F. Lamme
Victor A. F. Lamme University of Amsterdam
Simon van Gaal
Simon van Gaal University of Amsterdam
K. Richard Ridderinkhof
K. Richard Ridderinkhof University of Amsterdam
Merel Kindt
Merel Kindt University of Amsterdam
Edward H.F. de Haan
Edward H.F. de Haan Radboud University
Lourens J. Waldorp
Lourens J. Waldorp University of Amsterdam
Chantal Kemner
Chantal Kemner Utrecht University
Carsten K. W. De Dreu
Carsten K. W. De Dreu University of Groningen
Massimo Mangino
Massimo Mangino King's College London
Gonçalo R. Abecasis
Gonçalo R. Abecasis University of Michigan–Ann Arbor

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