World's Best Scientists 2026 revealed!

D-Index & Metrics

Psychology

D-Index
62
Citations
18519
World Ranking
3194
National Ranking
1816

David C. Plaut publication distribution in Psychology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Psychology in 2026. The highlighted bar marks where David C. Plaut sits on this spectrum.

31–40 publications: 6 scientists 41–50 publications: 52 scientists 51–60 publications: 138 scientists 61–70 publications: 299 scientists 71–80 publications: 461 scientists 81–90 publications: 605 scientists 91–100 publications: 713 scientists 101–110 publications: 736 scientists 111–120 publications: 686 scientists 121–130 publications: 670 scientists 131–140 publications: 644 scientists 141–150 publications: 597 scientists 151–160 publications: 576 scientists 161–170 publications: 477 scientists 171–180 publications: 450 scientists 181–190 publications: 397 scientists 191–200 publications: 343 scientists 201–210 publications: 328 scientists 211–220 publications: 313 scientists 221–230 publications: 283 scientists 231–240 publications: 226 scientists 241–250 publications: 196 scientists 251–260 publications: 201 scientists 261–270 publications: 171 scientists 271–280 publications: 151 scientists 281–290 publications: 139 scientists 291–300 publications: 113 scientists 301–310 publications: 102 scientists 311–320 publications: 100 scientists 321–330 publications: 76 scientists 331–340 publications: 92 scientists 341–350 publications: 85 scientists 351–360 publications: 69 scientists 361–370 publications: 71 scientists 371–380 publications: 63 scientists 381–390 publications: 58 scientists 391–400 publications: 57 scientists 401–410 publications: 43 scientists 411–420 publications: 33 scientists 421–430 publications: 50 scientists 431–440 publications: 41 scientists 441–450 publications: 32 scientists 451–460 publications: 27 scientists 461–470 publications: 28 scientists 471–480 publications: 25 scientists 481–490 publications: 28 scientists 491–500 publications: 20 scientists 501–510 publications: 23 scientists 511–520 publications: 26 scientists 521–530 publications: 17 scientists 531–540 publications: 21 scientists 541–550 publications: 14 scientists 551–560 publications: 16 scientists 561–570 publications: 10 scientists 571–580 publications: 22 scientists 581–590 publications: 9 scientists 591–600 publications: 14 scientists 601–610 publications: 9 scientists 611–620 publications: 11 scientists 621–630 publications: 4 scientists 631–640 publications: 7 scientists 641–650 publications: 5 scientists 651–660 publications: 10 scientists 661–670 publications: 8 scientists 671–680 publications: 8 scientists 681–690 publications: 4 scientists 691–700 publications: 3 scientists 701–704 publications: 4 scientists 705+ publications: 100 scientists
31 publications 705+

This scientist: 161 publications — 55th percentile

55% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 705 publications or more.

David C. Plaut D-index placement in Psychology in 2026

The chart shows the D-index (discipline H-index) distribution of Psychology scientists ranked by Research.com in 2026. The highlighted bar marks where David C. Plaut sits on this spectrum.

30–31 D-Index: 398 scientists 32–33 D-Index: 702 scientists 34–35 D-Index: 671 scientists 36–37 D-Index: 659 scientists 38–39 D-Index: 641 scientists 40–41 D-Index: 671 scientists 42–43 D-Index: 617 scientists 44–45 D-Index: 558 scientists 46–47 D-Index: 495 scientists 48–49 D-Index: 487 scientists 50–51 D-Index: 445 scientists 52–53 D-Index: 390 scientists 54–55 D-Index: 408 scientists 56–57 D-Index: 345 scientists 58–59 D-Index: 325 scientists 60–61 D-Index: 321 scientists 62–63 D-Index: 248 scientists 64–65 D-Index: 290 scientists 66–67 D-Index: 218 scientists 68–69 D-Index: 219 scientists 70–71 D-Index: 215 scientists 72–73 D-Index: 183 scientists 74–75 D-Index: 169 scientists 76–77 D-Index: 132 scientists 78–79 D-Index: 137 scientists 80–81 D-Index: 120 scientists 82–83 D-Index: 112 scientists 84–85 D-Index: 86 scientists 86–87 D-Index: 101 scientists 88–89 D-Index: 83 scientists 90–91 D-Index: 77 scientists 92–93 D-Index: 70 scientists 94–95 D-Index: 78 scientists 96–97 D-Index: 58 scientists 98–99 D-Index: 53 scientists 100–101 D-Index: 57 scientists 102–103 D-Index: 48 scientists 104–105 D-Index: 53 scientists 106–107 D-Index: 46 scientists 108–109 D-Index: 24 scientists 110–111 D-Index: 35 scientists 112–113 D-Index: 27 scientists 114–115 D-Index: 32 scientists 116–117 D-Index: 31 scientists 118–119 D-Index: 22 scientists 120–121 D-Index: 16 scientists 122–123 D-Index: 24 scientists 124–125 D-Index: 18 scientists 126–127 D-Index: 11 scientists 128–129 D-Index: 19 scientists 130–131 D-Index: 10 scientists 132–133 D-Index: 16 scientists 134–135 D-Index: 10 scientists 136–137 D-Index: 12 scientists 138–139 D-Index: 8 scientists 140–141 D-Index: 5 scientists 142–143 D-Index: 12 scientists 144+ D-Index: 98 scientists
30 D-Index 144+

This scientist: 62 D-Index — 72nd percentile

72% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 144 D-Index or more.

Research.com Recognitions

  • 2003 - Troland Research Awards, United States National Academy of Sciences For his penetrating computational analyses of reading, language, and other aspects of cognition, which elucidate normal function and the consequences of brain injury.

Overview

David C. Plaut is affiliated with Carnegie Mellon University in the United States, where their research primarily focuses on neuroscience with a significant emphasis on cognitive neuroscience. Their scholarly contributions involve studies in experimental and cognitive psychology, computer vision and pattern recognition, developmental and educational psychology, as well as statistics and probability.

Their research topics cover a range of subjects related to brain function and perception. Key themes include face recognition and perception, neural dynamics and brain function, visual perception and processing mechanisms, functional brain connectivity studies, hemispheric asymmetry in neuroscience, face recognition and analysis, and evolutionary psychology and human behavior.

David C. Plaut has published influential papers spanning several years, including:

  • Hemispheric Organization for Visual Object Recognition: A Theoretical Account and Empirical Evidence, 2020, Perception
  • Computational insights into human perceptual expertise for familiar and unfamiliar face recognition, 2020, Cognition
  • A connectivity-constrained computational account of topographic organization in primate high-level visual cortex, 2022, Proceedings of the National Academy of Sciences
  • From decomposition to distributed theories of morphological processing in reading, 2022, Psychonomic Bulletin & Review
  • The Face of Image Reconstruction: Progress, Pitfalls, Prospects, 2020, Trends in Cognitive Sciences

Their collaborative work includes frequent co-authorship with researchers such as Marlene Behrmann, Nicholas M. Blauch, Raina Vin, Tina T. Liu, and Michael C. Granovetter.

Key venues where David C. Plaut has published multiple articles include bioRxiv (Cold Spring Harbor Laboratory), Cognition, Journal of Vision, Perception, and Proceedings of the National Academy of Sciences.

In 2003, the scientist was awarded the Troland Research Award by the United States National Academy of Sciences for computational analyses related to reading, language, and aspects of cognition, addressing both normal function and effects of brain injury.

Best Publications

  • Understanding normal and impaired word reading: computational principles in quasi-regular domains.

    David C. Plaut;James L. McClelland;Mark S. Seidenberg;Karalyn Patterson

  • Deep dyslexia: A case study of connectionist neuropsychology

    David C. Plaut;Tim Shallice

  • Letting structure emerge: connectionist and dynamical systems approaches to cognition

    James L. McClelland;Matthew M. Botvinick;David C. Noelle;David C. Plaut

  • Experiments on Learning by Back Propagation.

    David C Plaut;Steven J Nowlan;Geoffrey E Hinton

  • Doing without schema hierarchies: a recurrent connectionist approach to normal and impaired routine sequential action

    Matthew M. Botvinick;David C. Plaut

  • Individual and developmental differences in semantic priming : Empirical and computational support for a single-mechanism account of lexical processing

    David C. Plaut;James R. Booth

  • Are non-semantic morphological effects incompatible with a distributed connectionist approach to lexical processing?

    David C. Plaut;Laura M. Gonnerman

  • SD-squared: On the association between semantic dementia and surface dyslexia

    Anna M. Woollams;Matthew A. Lambon Ralph;David C. Plaut;Karalyn Patterson

  • Short-term memory for serial order: a recurrent neural network model.

    Matthew M. Botvinick;David C. Plaut

  • Double dissociation without modularity: Evidence from connectionist neuropsychology

    David C. Plaut

  • Structure and Function in the Lexical System: Insights from Distributed Models of Word Reading and Lexical Decision

    David C. Plaut

  • Language acquisition in the absence of explicit negative evidence: how important is starting small?

    Douglas L.T Rohde;David C Plaut

  • Distributed circuits, not circumscribed centers, mediate visual recognition

    Marlene Behrmann;David C. Plaut

  • Unraveling the distributed neural code of facial identity through spatiotemporal pattern analysis

    Adrian Nestor;David C. Plaut;Marlene Behrmann

  • Semantic and Associative Priming in a Distributed Attractor Network

    David C. Plaut

  • Relearning after Damage in Connectionist Networks: Toward a Theory of Rehabilitation

    David C. Plaut

  • Graded modality-specific specialisation in semantics: A computational account of optic aphasia.

    David C. Plaut

  • ‘What’ Is Happening in the Dorsal Visual Pathway

    Erez Freud;Erez Freud;David C. Plaut;David C. Plaut;Marlene Behrmann;Marlene Behrmann

  • The joint development of hemispheric lateralization for words and faces

    Eva M. Dundas;David C. Plaut;Marlene Behrmann

  • A LITERATURE REVIEW AND NEW DATA SUPPORTING AN INTERACTIVE ACCOUNT OF LETTER-BY-LETTER READING.

    Marlene Behrmann;David C. Plaut;James Nelson

  • Deep Dyslexia: A Case Study of

    David C. Plaut;Tim Shallice

Frequent Co-Authors

Marlene Behrmann
Marlene Behrmann Carnegie Mellon University
James L. McClelland
James L. McClelland Stanford University
Karalyn Patterson
Karalyn Patterson MRC Cognition and Brain Sciences Unit
Matthew Botvinick
Matthew Botvinick Yale University
Tim Shallice
Tim Shallice University College London
Mark S. Seidenberg
Mark S. Seidenberg University of Wisconsin–Madison
Jody C. Culham
Jody C. Culham University of Western Ontario
Matthew A. Lambon Ralph
Matthew A. Lambon Ralph University of Cambridge
Geoffrey E. Hinton
Geoffrey E. Hinton University of Toronto
Jeffrey L. Elman
Jeffrey L. Elman University of California, San Diego

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