World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
44
Citations
12039
World Ranking
7055
National Ranking
547

Paul M. Bays 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 Paul M. Bays 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: 116 publications — 26th percentile

26% of scientists in this discipline score the same or lower.

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

Paul M. Bays 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 Paul M. Bays 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: 44 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Overview

Paul M. Bays is affiliated with the University of Cambridge in the United Kingdom. Their research primarily focuses on neuroscience, with a specialization in cognitive neuroscience and experimental and cognitive psychology. The scholar has contributed extensively to understanding visual perception and processing mechanisms, neural dynamics and brain function, and neural and behavioral psychology studies.

The scientist's work spans across various subfields, including cognitive neuroscience, experimental and cognitive psychology, social psychology, sensory systems, and computer vision and pattern recognition. Main topics covered in their publications include visual perception and processing mechanisms, neural dynamics and brain function, multisensory perception and integration, tactile and sensory interactions, olfactory and sensory function studies, and human-automation interaction and safety.

Frequent collaborators of Paul M. Bays are:

  • Ivan Tomić
  • Sebastian Schneegans
  • William J. Harrison
  • Jessica McMaster
  • Reuben Rideaux

The researcher's works have appeared in several venues multiple times. These venues include:

  • Journal of Vision
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Nature Communications
  • Psychological Review
  • Attention Perception & Psychophysics

Recent publications by Paul M. Bays include:

  • Representation and computation in visual working memory, 2024, Nature Human Behaviour
  • Neural tuning instantiates prior expectations in the human visual system, 2023, Nature Communications
  • Swap errors in visual working memory are fully explained by cue-feature variability, 2022, Cognitive Psychology
  • Role of time in binding features in visual working memory, 2022, Psychological Review

Other significant papers related to their collaborators include "Stochastic sampling provides a unifying account of visual working memory limits," published in 2020 in the Proceedings of the National Academy of Sciences.

Best Publications

  • Dynamic Shifts of Limited Working Memory Resources in Human Vision

    Paul M. Bays;Masud Husain

  • Changing concepts of working memory.

    Wei Ji Ma;Masud Husain;Paul M Bays

  • The precision of visual working memory is set by allocation of a shared resource.

    Paul M. Bays;Raquel F. G. Catalao;Masud Husain

  • Evidence for sensory prediction deficits in schizophrenia

    Sukhwinder S. Shergill;Gabrielle Samson;Paul M. Bays;Chris D. Frith

  • Two eyes for an eye: the neuroscience of force escalation.

    Sukhwinder S. Shergill;Paul M. Bays;Chris D. Frith;Daniel M. Wolpert

  • Computational principles of sensorimotor control that minimize uncertainty and variability

    Paul M. Bays;Daniel M. Wolpert

  • Dynamic Updating of Working Memory Resources for Visual Objects

    Nikos Gorgoraptis;Raquel F. G. Catalao;Paul M. Bays;Masud Husain

  • Failure to consolidate the consolidation theory of learning for sensorimotor adaptation tasks

    Graham Caithness;Rieko Osu;Paul Bays;Henry Chase

  • Noise in Neural Populations Accounts for Errors in Working Memory

    Paul M. Bays

  • Temporal dynamics of encoding, storage, and reallocation of visual working memory.

    Paul M Bays;Nikos Gorgoraptis;Natalie Wee;Louise Marshall

  • Storage and binding of object features in visual working memory.

    Paul M. Bays;Emma Y. Wu;Masud Husain

  • Distinct neural mechanisms underlie the success, precision, and vividness of episodic memory

    Franziska R Richter;Rose A Cooper;Paul M Bays;Jon S Simons

  • Rapid forgetting prevented by retrospective attention cues.

    Yoni Pertzov;Paul M. Bays;Sabine Joseph;Masud Husain

  • Neural Architecture for Feature Binding in Visual Working Memory

    Sebastian Schneegans;Paul Michael Bays

  • Perception of the Consequences of Self-Action Is Temporally Tuned and Event Driven

    Paul M. Bays;Daniel M. Wolpert;J. Randall Flanagan

  • Attenuation of Self-Generated Tactile Sensations Is Predictive, not Postdictive

    Paul M Bays;J. Randall Flanagan;Daniel M Wolpert;Daniel M Wolpert

  • Spikes not slots: noise in neural populations limits working memory

    Paul M. Bays

  • Functional Magnetic Resonance Imaging of Impaired Sensory Prediction in Schizophrenia

    Sukhwinder S. Shergill;Thomas P. White;Daniel W. Joyce;Paul M. Bays

  • Age-related decline of precision and binding in visual working memory.

    Muy-Cheng Peich;Masud Husain;Paul M. Bays

  • Reduced Hippocampal Functional Connectivity During Episodic Memory Retrieval in Autism.

    Rose A. Cooper;Franziska R. Richter;Paul M. Bays;Kate C. Plaisted-Grant

Frequent Co-Authors

Masud Husain
Masud Husain University of Oxford
Daniel M. Wolpert
Daniel M. Wolpert Columbia University
Bahador Bahrami
Bahador Bahrami Max Planck Society
Chris D. Frith
Chris D. Frith University College London
Sukhwinder S. Shergill
Sukhwinder S. Shergill King's College London
Jon S. Simons
Jon S. Simons University of Cambridge
J. Randall Flanagan
J. Randall Flanagan Queen's University
Alexander P. Leff
Alexander P. Leff University College London
Andreas Sprenger
Andreas Sprenger University of Lübeck
Peter G. Bain
Peter G. Bain Imperial College London

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