World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
39
Citations
10771
World Ranking
8211
National Ranking
63

Shaul Hochstein 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 Shaul Hochstein 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: 152 publications — 44th percentile

44% of scientists in this discipline score the same or lower.

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

Shaul Hochstein 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 Shaul Hochstein 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: 39 D-Index — 15th percentile

15% of scientists in this discipline score the same or lower.

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

Overview

Shaul Hochstein is affiliated with the Hebrew University of Jerusalem in Israel and has a research focus primarily in the field of Neuroscience. Their work encompasses several subfields, including Cognitive Neuroscience, Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology, Social Psychology, and Cellular and Molecular Neuroscience.

Hochstein's research topics cover a range of areas related to perception and brain function. These include:

  • Visual perception and processing mechanisms
  • Neural dynamics and brain function
  • Multisensory perception and integration
  • Visual Attention and Saliency Detection
  • Color perception and design
  • Aesthetic Perception and Analysis
  • Autism Spectrum Disorder Research

The scientist has contributed extensively to academic literature, with notable publications appearing in venues such as the Journal of Vision, Attention Perception & Psychophysics, and Policy Insights from the Behavioral and Brain Sciences. Hochstein's recurring publication outlets are:

  • Journal of Vision (12 publications)
  • Attention Perception & Psychophysics (3 publications)
  • Policy Insights from the Behavioral and Brain Sciences (1 publication)

Noteworthy recent papers authored or co-authored by Hochstein include:

  • Perceiving ensemble statistics of novel image sets (2021, Attention Perception & Psychophysics)
  • Comparing explicit and implicit ensemble perception: 3 stimulus variables and 3 presentation modes (2023, Attention Perception & Psychophysics)
  • Perceptual history biases in serial ensemble representation (2023, Journal of Vision)
  • Perceptual Learning: Policy Insights From Basic Research to Real-World Applications (2023, Policy Insights from the Behavioral and Brain Sciences)
  • Perceptual learning of ensemble and outlier perception (2020, Journal of Vision)

Hochstein has also contributed to scholarly books, including a publication with Cambridge University Press titled "The Pervasiveness of Ensemble Perception" (2023).

The scientist has collaborated frequently with several co-authors, such as:

  • Noam Khayat
  • Marina Pavlovskaya
  • Safa'a Abassi Abu Rukab
  • Stefano Fusi
  • Merav Ahissar

Best Publications

  • View from the top: hierarchies and reverse hierarchies in the visual system.

    Shaul Hochstein;Merav Ahissar

  • The Reverse Hierarchy Theory of Visual Perceptual Learning

    Merav Ahissar;Shaul Hochstein

  • Task difficulty and the specificity of perceptual learning.

    Merav Ahissar;Shaul Hochstein

  • Attentional control of early perceptual learning

    Merav Ahissar;Shaul Hochstein

  • Quantitative analysis of retinal ganglion cell classifications.

    S Hochstein;R M Shapley

  • Linear and nonlinear spatial subunits in Y cat retinal ganglion cells.

    S Hochstein;R M Shapley

  • At first sight: a high-level pop out effect for faces.

    Orit Hershler;Shaul Hochstein

  • Reverse hierarchies and sensory learning

    Merav Ahissar;Mor Nahum;Israel Nelken;Shaul Hochstein

  • Learning Pop-out Detection: Specificities to Stimulus Characteristics

    Merav Ahissar;Shaul Hochstein

  • A complex-cell receptive-field model.

    H. Spitzer;S. Hochstein

  • Macaque monkeys categorize images by their ordinal number

    Tanya Orlov;Volodya Yakovlev;Shaul Hochstein;Ehud Zohary

  • Transduction in invertebrate photoreceptors: role of pigment bistability.

    P Hillman;S Hochstein;B Minke

  • How serial is serial processing in vision

    Ehud Zohary;Shaul Hochstein

  • The spread of attention and learning in feature search: effects of target distribution and task difficulty.

    Merav Ahissar;Shaul Hochstein

  • Simple- and complex-cell response dependences on stimulation parameters.

    H. Spitzer;S. Hochstein

  • The development of category learning strategies: What makes the difference?

    Rubi Hammer;Gil Diesendruck;Daphna Weinshall;Daphna Weinshall;Shaul Hochstein;Shaul Hochstein

  • Antagonistic components of the late receptor potential in the barnacle photoreceptor arising from different stages of the pigment process.

    S. Hochstein;B. Minke;P. Hillman

  • Theoretical analysis of parameters leading to frequency modulation along an inhomogeneous axon.

    I. Parnas;S. Hochstein;H. Parnas

  • With a careful look: still no low-level confound to face pop-out.

    Orit Hershler;Shaul Hochstein

  • Eye dominance effects in feature search

    Einat Shneor;Shaul Hochstein

  • Isolating the effect of one-dimensional motion signals on the perceived direction of moving two-dimensional objects

    Nava Rubin;Shaul Hochstein

  • Lateral inhibition between spatially adjacent spatial-frequency channels?

    Dov Sagi;Shaul Hochstein

Frequent Co-Authors

Merav Ahissar
Merav Ahissar Hebrew University of Jerusalem
Baruch Minke
Baruch Minke Hebrew University of Jerusalem
Daphna Weinshall
Daphna Weinshall Hebrew University of Jerusalem
Nachum Soroker
Nachum Soroker Tel Aviv University
Ehud Zohary
Ehud Zohary Hebrew University of Jerusalem
Stefano Fusi
Stefano Fusi Columbia University
Robert Shapley
Robert Shapley New York University
Dov Sagi
Dov Sagi Weizmann Institute of Science
Leon Y. Deouell
Leon Y. Deouell Hebrew University of Jerusalem
Gil Diesendruck
Gil Diesendruck Bar-Ilan University

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