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D-Index & Metrics

Neuroscience

D-Index
37
Citations
7559
World Ranking
8711
National Ranking
77

Ricardo Gattass 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 Ricardo Gattass 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: 107 publications — 21st percentile

21% of scientists in this discipline score the same or lower.

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

Ricardo Gattass 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 Ricardo Gattass 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: 37 D-Index — 10th percentile

10% 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

  • 1998 - Fellow, The World Academy of Sciences

Overview

Ricardo Gattass is affiliated with the Federal University of Rio de Janeiro in Brazil. Their research primarily focuses on the field of Neuroscience, with work spanning various subfields including Cognitive Neuroscience, Cellular and Molecular Neuroscience, Molecular Biology, Ophthalmology, and Social Psychology.

The scientist's publications contribute notably to topics such as Neural dynamics and brain function, Visual perception and processing mechanisms, Retinal Development and Disorders, Motor Control and Adaptation, Primate Behavior and Ecology, Neuroscience and Neural Engineering, and Neuroscience and Neuropharmacology Research.

Some of the recent papers authored or co-authored by Ricardo Gattass include:

  • Cortical maps as a fundamental neural substrate for visual representation, 2023, Progress in Neurobiology
  • Genetic variability of the sws1 cone opsin gene among New World monkeys, 2020, American Journal of Primatology
  • Effects of MT lesions on visuomotor performance in macaques, 2020, Progress in Neurobiology
  • The role of feedback projections in feature tuning and neuronal excitability in the early primate visual system, 2021, Brain Structure and Function
  • Time course of dorsolateral geniculate nucleus plasticity in adult monkeys with laser-induced retinal lesions, 2022, The Journal of Comparative Neurology

Frequent co-authors in their research include Juliana G. M. Soares, Bruss Lima, Mario Fiorani, Mariana F. Farias, and Andrei Mayer.

Gattass's work has been published in several scientific venues with multiple contributions to:

  • The Journal of Comparative Neurology
  • Progress in Neurobiology
  • Anais da Academia Brasileira de Ciências
  • American Journal of Primatology
  • Frontiers in Mammal Science

In recognition of their contributions to science, Ricardo Gattass was awarded the title Fellow of The World Academy of Sciences in 1998.

Best Publications

  • Visuotopic organization and extent of V3 and V4 of the macaque

    R. Gattass;A. P. B. Sousa;C. G. Gross

  • Visual Topography of V2 in the Macaque

    R. Gattass;C. G. Gross;J. H. Sandell

  • Topographical organization of cortical afferents to extrastriate visual area PO in the macaque: a dual tracer study.

    C. L. Colby;R. Gattass;C. R. Olson;C. G. Gross

  • Visual topography of striate projection zone (MT) in posterior superior temporal sulcus of the macaque.

    Ricardo Gattass;Charles G. Gross

  • Cortical Connections of Area V4 in the Macaque

    Leslie G. Ungerleider;Thelma W. Galkin;Robert Desimone;Robert Desimone;Ricardo Gattass

  • Responses of cells in monkey visual cortex during perceptual filling-in of an artificial scotoma.

    P De Weerd;R Gattass;R Desimone;L G Ungerleider

  • The modular organization of projections from areas V1 and V2 to areas V4 and TEO in macaques

    Hiroyuki Nakamura;Ricardo Gattass;Robert Desimone;Leslie G. Ungerleider

  • Dynamic surrounds of receptive fields in primate striate cortex: a physiological basis for perceptual completion?

    M Fiorani Júnior;M G Rosa;R Gattass;C E Rocha-Miranda

  • Pattern recognition mechanisms

    Carlos Chagas;Ricardo Gattass;Charles Gross;Pontificia Accademia delle scienze

  • Visual cortical projections and chemoarchitecture of macaque monkey pulvinar

    Michelle M. Adams;Patrick R. Hof;Ricardo Gattass;Maree J. Webster

  • A Conserved Pattern of Differential Expansion of Cortical Areas in Simian Primates

    Tristan Chaplin;Hsin-Hao Yu;Juliana Gm Soares;Ricardo Gattass

  • Parallel Evolution of Cortical Areas Involved in Skilled Hand Use

    Jeffrey Padberg;Joao G Franca;Dylan F Cooke;Juliana Gm Soares

  • Cortical visual areas in monkeys: location, topography, connections, columns, plasticity and cortical dynamics

    Ricardo Gattass;Sheila Nascimento-Silva;Juliana G M Soares;Bruss Lima

  • Contributions of stimulus valence and arousal to visual activation during emotional perception

    J Mourão-Miranda;E Volchan;J Moll;R de Oliveira-Souza

  • Cortical Visual Areas of the Macaque: Possible Substrates for Pattern Recognition Mechanisms

    R. Gattass;A. P. B. Sousa;E. Covey

  • Neurofilament protein is differentially distributed in subpopulations of corticocortical projection neurons in the macaque monkey visual pathways

    Patrick R. Hof;Leslie G. Ungerleider;Maree J. Webster;Ricardo Gattass

  • Cortical afferents of visual area MT in the Cebus monkey: possible homologies between new and old world monkeys

    Marcello G. P. Rosa;Juliana G. M. Soares;Mario Fiorani;Ricardo Gattass

  • Topographic organization of cortical input to striate cortex in the Cebus monkey: a fluorescent tracer study.

    Aglai P. B. Sousa;Maria Carmen G. P. Piñon;Ricardo Gattass;Marcello G. P. Rosa

  • Visual area MT in the Cebus monkey: location, visuotopic organization, and variability.

    Mario Fiorani;Ricardo Gattass;Marcello G. P. Rosa;Aglai P. B. Sousa

  • Representation of the visual field in the second visual area in the Cebus monkey.

    Marcello G. P. Rosa;Aglai P. B. Sousa;Ricardo Gattass

  • Subcortical connections of area V4 in the macaque

    Ricardo Gattass;Thelma W. Galkin;Robert Desimone;Leslie G. Ungerleider

  • Cortical connections of area V4 in the macaque

    Leslie G. Ungerleider;Renata A. P. Monteiro;Ricardo Gattass;Robert Desimone

Frequent Co-Authors

Marcello G. P. Rosa
Marcello G. P. Rosa Monash University
Leslie G. Ungerleider
Leslie G. Ungerleider National Institutes of Health
Charles G. Gross
Charles G. Gross Princeton University
Luiz Pessoa
Luiz Pessoa University of Maryland, College Park
Patrick R. Hof
Patrick R. Hof Icahn School of Medicine at Mount Sinai
Thomas D. Albright
Thomas D. Albright Salk Institute for Biological Studies
John H. Morrison
John H. Morrison University of California, Davis
Rosalia Mendez-Otero
Rosalia Mendez-Otero Federal University of Rio de Janeiro
Janaina Mourao-Miranda
Janaina Mourao-Miranda University College London

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