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David C. Burr

D-Index & Metrics

Neuroscience

D-Index
96
Citations
31299
World Ranking
869
National Ranking
24

David C. Burr 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 David C. Burr 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: 383 publications — 90th percentile

90% of scientists in this discipline score the same or lower.

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

David C. Burr 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 David C. Burr 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: 96 D-Index — 91st percentile

91% of scientists in this discipline score the same or lower.

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

Overview

David C. Burr is affiliated with the University of Florence in Italy. Their research spans primarily the fields of neuroscience and mathematics, with a substantial focus on cognitive neuroscience as well as statistics and probability. Their work integrates concepts from education, experimental and cognitive psychology, and applied mathematics.

Their main topics of research include:

  • Visual perception and processing mechanisms
  • Cognitive and developmental aspects of mathematical skills
  • Neural dynamics and brain function
  • Mathematics education and teaching techniques
  • Mathematics education and pedagogy
  • Neural and behavioral psychology studies
  • Multisensory perception and integration

David C. Burr has frequently published with a consistent group of collaborators. Their most regular co-authors include:

  • Guido Marco Cicchini
  • Giovanni Anobile
  • Roberto Arrighi
  • Elisa Castaldi
  • Paola Binda

Their recent scholarly output includes papers exploring perception mechanisms and numerical cognition, often published in well-recognized journals. Some selected papers include:

  • Perceptual history propagates down to early levels of sensory analysis, 2020, Current Biology
  • Serial Dependence in Perception, 2023, Annual Review of Psychology
  • A Sensorimotor Numerosity System, 2020, Trends in Cognitive Sciences
  • Serial dependence in perception requires conscious awareness, 2020, Current Biology
  • "Groupitizing": a strategy for numerosity estimation, 2020, Scientific Reports

The primary venues for their publications reflect a broad dissemination of research findings in neuroscience and vision sciences. These venues include:

  • Zenodo (CERN European Organization for Nuclear Research)
  • Journal of Vision
  • Current Biology
  • Scientific Reports
  • bioRxiv (Cold Spring Harbor Laboratory)

Best Publications

  • The Ventriloquist Effect Results from Near-Optimal Bimodal Integration

    David Alais;David Burr

  • When the world becomes ‘too real’: a Bayesian explanation of autistic perception

    Elizabeth Pellicano;Elizabeth Pellicano;David Burr;David Burr

  • Feature Detection in Human Vision: A Phase-Dependent Energy Model

    M C Morrone;D C Burr

  • Selective suppression of the magnocellular visual pathway during saccadic eye movements

    David C. Burr;M. Concetta Morrone;John Ross

  • Changes in visual perception at the time of saccades

    John Ross;M.Concetta Morrone;Michael E Goldberg;Michael E Goldberg;David C Burr

  • A visual sense of number

    David Burr;John Ross

  • Young children do not integrate visual and haptic form information.

    Monica Gori;Michela Del Viva;Giulio Sandini;David C. Burr;David C. Burr

  • Compression of visual space before saccades.

    John Ross;M. Concetta Morrone;David C. Burr

  • Saccadic eye movements cause compression of time as well as space

    M Concetta Morrone;John Ross;David Burr

  • Functional implications of cross-orientation inhibition of cortical visual cells. I. Neurophysiological evidence

    M C Morrone;D C Burr;L Maffei

  • A cortical area that responds specifically to optic flow, revealed by fMRI

    M. C. Morrone;M. Tosetti;D. Montanaro;A. Fiorentini

  • Seeing biological motion

    P Neri;M C Morrone;D C Burr

  • Contrast sensitivity at high velocities.

    David C. Burr;John Ross

  • Spatial and temporal selectivity of the human motion detection system.

    Stephen J. Anderson;David C. Burr

  • Optimal Encoding of Interval Timing in Expert Percussionists

    Guido Marco Cicchini;Roberto Arrighi;Luca Cecchetti;Marco Giusti

  • Mach bands are phase dependent

    M. Concetta Morrone;John Ross;David C. Burr;Robyn Owens

  • Compressive mapping of number to space reflects dynamic encoding mechanisms, not static logarithmic transform

    Guido Marco Cicchini;Giovanni Anobile;David C. Burr

  • Auditory dominance over vision in the perception of interval duration.

    David Burr;David Burr;Martin S. Banks;Maria Concetta Morrone

  • Neural mechanisms for timing visual events are spatially selective in real-world coordinates

    David Burr;David Burr;Arianna Tozzi;M Concetta Morrone

  • Two stages of visual processing for radial and circular motion

    Maria Concetta Morrone;Dc Burr;Lm Vaina

  • Subitizing but not estimation of numerosity requires attentional resources

    David C. Burr;David C. Burr;Marco Turi;Giovanni Anobile

  • Selective depression of motion sensitivity during saccades.

    D C Burr;J Holt;J R Johnstone;J Ross

  • Report Young Children Do Not Integrate Visual and Haptic Form Information

    Monica Gori;Michela Del Viva;Giulio Sandini;David C. Burr

Frequent Co-Authors

John Ross
John Ross University of Tasmania
Monica Gori
Monica Gori Italian Institute of Technology
Maria Concetta Morrone
Maria Concetta Morrone University of Pisa
Giulio Sandini
Giulio Sandini Italian Institute of Technology
David Alais
David Alais University of Sydney
Elizabeth Pellicano
Elizabeth Pellicano University College London
Michela Tosetti
Michela Tosetti University of Pisa
Giovanni Cioni
Giovanni Cioni University of Pisa
Frans A. J. Verstraten
Frans A. J. Verstraten University of Sydney
Gillian Rhodes
Gillian Rhodes University of Western Australia

External Links

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