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D-Index & Metrics

Neuroscience

D-Index
38
Citations
10113
World Ranking
8439
National Ranking
394

Kenneth Knoblauch 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 Kenneth Knoblauch 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: 177 publications — 54th percentile

54% of scientists in this discipline score the same or lower.

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

Kenneth Knoblauch 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 Kenneth Knoblauch 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: 38 D-Index — 12th percentile

12% of scientists in this discipline score the same or lower.

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

Overview

Kenneth Knoblauch is affiliated with Claude Bernard University Lyon 1 in France. Their research primarily spans the fields of Neuroscience and Medicine, with a particular focus on several subfields including Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Atomic and Molecular Physics and Optics, Experimental and Cognitive Psychology, and Cellular and Molecular Neuroscience.

The main research topics Kenneth Knoblauch explores include:

  • Visual perception and processing mechanisms
  • Neural dynamics and brain function
  • Functional Brain Connectivity Studies
  • Color Science and Applications
  • Advanced Neuroimaging Techniques and Applications
  • Multisensory perception and integration
  • Color perception and design

Knoblauch's recent scientific papers illustrate the diversity and depth of their research contributions. Notable publications include:

  • Cortical hierarchy, dual counterstream architecture and the importance of top-down generative networks (2020, NeuroImage)
  • The nonhuman primate neuroimaging and neuroanatomy project (2021, NeuroImage)
  • A dopamine gradient controls access to distributed working memory in the large-scale monkey cortex (2021, Neuron)
  • Hierarchical and nonhierarchical features of the mouse visual cortical network (2022, Nature Communications)
  • Adaptive Changes in Color Vision from Long-Term Filter Usage in Anomalous but Not Normal Trichromacy (2020, Current Biology)

Frequent publication venues for Knoblauch's work include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Journal of the Optical Society of America A
  • NeuroImage
  • Investigative Ophthalmology & Visual Science
  • EBioMedicine

Collaboration is a prominent aspect of Knoblauch's career, reflected by repeat co-authorship with several researchers. Frequent collaborators include:

  • Henry Kennedy
  • John S. Werner
  • Xiao-Jing Wang
  • Takuya Hayashi
  • Yujie Hou

Best Publications

  • A Weighted and Directed Interareal Connectivity Matrix for Macaque Cerebral Cortex

    N. T. Markov;N. T. Markov;N. T. Markov;M. M. Ercsey-Ravasz;M. M. Ercsey-Ravasz;A. R. Ribeiro Gomes;A. R. Ribeiro Gomes;C. Lamy;C. Lamy

  • Anatomy of hierarchy: Feedforward and feedback pathways in macaque visual cortex

    Nikola T. Markov;Julien Vezoli;Pascal Chameau;Arnaud Falchier

  • A Large-Scale Circuit Mechanism for Hierarchical Dynamical Processing in the Primate Cortex

    Rishidev Chaudhuri;Rishidev Chaudhuri;Kenneth Knoblauch;Kenneth Knoblauch;Marie Alice Gariel;Marie Alice Gariel;Henry Kennedy;Henry Kennedy

  • Cortical High-Density Counterstream Architectures

    Nikola T. Markov;Nikola T. Markov;Nikola T. Markov;Mária Ercsey-Ravasz;David C. Van Essen;Kenneth Knoblauch;Kenneth Knoblauch

  • A Predictive Network Model of Cerebral Cortical Connectivity Based on a Distance Rule

    Mária Ercsey-Ravasz;Mária Ercsey-Ravasz;Nikola T. Markov;Nikola T. Markov;Nikola T. Markov;Camille Lamy;Camille Lamy;David C. Van Essen

  • Weight Consistency Specifies Regularities of Macaque Cortical Networks

    N. T. Markov;N. T. Markov;P. Misery;P. Misery;Arnaud Falchier;Arnaud Falchier;C. Lamy;C. Lamy

  • Using Diffusion Tractography to Predict Cortical Connection Strength and Distance: A Quantitative Comparison with Tracers in the Monkey

    Chad J. Donahue;Stamatios N. Sotiropoulos;Saad Jbabdi;Moises Hernandez-Fernandez

  • Laminar Distribution of Neurons in Extrastriate Areas Projecting to Visual Areas V1 and V4 Correlates with the Hierarchical Rank and Indicates the Operation of a Distance Rule

    Pascal Barone;Alexandre Batardiere;Kenneth Knoblauch;Henry Kennedy

  • Variation of chromatic sensitivity across the life span

    Kenneth Knoblauch;François Vital-Durand;John L Barbur

  • The role of long-range connections on the specificity of the macaque interareal cortical network.

    Nikola T. Markov;Maria Ercsey-Ravasz;Maria Ercsey-Ravasz;Camille Lamy;Camille Lamy;Ana Rita Ribeiro Gomes;Ana Rita Ribeiro Gomes

  • Spatial Embedding and Wiring Cost Constrain the Functional Layout of the Cortical Network of Rodents and Primates.

    Szabolcs Horvát;Răzvan Gămănuț;Mária Ercsey-Ravasz;Loïc Magrou

  • Difference scaling of gloss: nonlinearity, binocularity, and constancy.

    Gaël Obein;Kenneth Knoblauch;Françoise Viénot

  • The Mouse Cortical Connectome, Characterized by an Ultra-Dense Cortical Graph, Maintains Specificity by Distinct Connectivity Profiles

    Răzvan Gămănuţ;Henry Kennedy;Henry Kennedy;Zoltán Toroczkai;Mária Ercsey-Ravasz

  • Modeling Psychophysical Data in R

    Kenneth Knoblauch;Laurence T. Maloney

  • Age and illuminance effects in the Farnsworth-Munsell 100-hue test.

    Kenneth Knoblauch;Felicia Saunders;Mihoko Kusuda;Roger Hynes

  • An inexpensive Arduino-based LED stimulator system for vision research.

    Petteri Teikari;Raymond P. Najjar;Raymond P. Najjar;Hemi Malkki;Kenneth Knoblauch;Kenneth Knoblauch

  • Quantifying the watercolor effect: from stimulus properties to neural models

    Frédéric Devinck;Peggy Gerardin;Peggy Gerardin;Michel Dojat;Michel Dojat;Kenneth Knoblauch;Kenneth Knoblauch

  • Early Specification of the Hierarchical Organization of Visual Cortical Areas in the Macaque Monkey

    Alexandre Batardière;Pascal Barone;Kenneth Knoblauch;Pascale Giroud

  • The Location of Feedback-Related Activity in the Midcingulate Cortex Is Predicted by Local Morphology

    Céline Amiez;Rémi Neveu;Delphine Warrot;Delphine Warrot;Michael Petrides

  • Cortical Hierarchy, Dual Counterstream Architecture and The Importance of Top-Down Generative Networks

    Julien Vezoli;Loïc Magrou;Rainer Goebel;Xiao-Jing Wang

  • Estimating classification images with generalized linear and additive models.

    Kenneth Knoblauch;Laurence T. Maloney

  • Effects of chromatic and luminance contrast on reading.

    Kenneth Knoblauch;Aries Arditi;Janet Szlyk

Frequent Co-Authors

Laurence T. Maloney
Laurence T. Maloney New York University
Zoltán Toroczkai
Zoltán Toroczkai University of Notre Dame
Michel Dojat
Michel Dojat French Institute for Research in Computer Science and Automation - INRIA
Pascal Barone
Pascal Barone Federal University of Toulouse Midi-Pyrénées
Howard M. Cooper
Howard M. Cooper Claude Bernard University Lyon 1
David C. Van Essen
David C. Van Essen Washington University in St. Louis
Xiao-Jing Wang
Xiao-Jing Wang New York University
Sabine Süsstrunk
Sabine Süsstrunk École Polytechnique Fédérale de Lausanne

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