World's Best Scientists 2026 revealed!

D-Index & Metrics

Psychology

D-Index
70
Citations
24487
World Ranking
2238
National Ranking
1304

Kenneth A. Norman 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 Kenneth A. Norman 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: 175 publications — 60th percentile

60% of scientists in this discipline score the same or lower.

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

Kenneth A. Norman 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 Kenneth A. Norman 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: 70 D-Index — 81st percentile

81% of scientists in this discipline score the same or lower.

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

Overview

Kenneth A. Norman is affiliated with Princeton University in the United States. Their research primarily focuses on Neuroscience, with a significant emphasis on the subfields of Cognitive Neuroscience, Artificial Intelligence, Experimental and Cognitive Psychology, Cellular and Molecular Neuroscience, and Radiology, Nuclear Medicine and Imaging.

The main topics covered in their work include Neural dynamics and brain function, Memory and Neural Mechanisms, Functional Brain Connectivity Studies, Neural and Behavioral Psychology Studies, Memory Processes and Influences, Topic Modeling, and Neuroscience and Neuropharmacology Research.

Recent publications by Kenneth A. Norman include the following papers:

  • Shared computational principles for language processing in humans and deep language models, 2022, Nature Neuroscience
  • Structured Event Memory: A neuro-symbolic model of event cognition., 2020, Psychological Review
  • Behavioral, Physiological, and Neural Signatures of Surprise during Naturalistic Sports Viewing, 2020, Neuron
  • The "Narratives" fMRI dataset for evaluating models of naturalistic language comprehension, 2021, Scientific Data
  • Reward prediction errors create event boundaries in memory, 2020, Cognition

Kenneth A. Norman frequently collaborates with several co-authors, including:

  • Uri Hasson
  • Nicholas B. Turk-Browne
  • Sebastian Michelmann
  • Jonathan D. Cohen
  • Samuel A. Nastase

Their work is often published in a variety of venues, with frequent contributions to:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Zenodo (CERN European Organization for Nuclear Research)
  • eLife
  • arXiv (Cornell University)
  • Psychological Review

Best Publications

  • Beyond mind-reading: multi-voxel pattern analysis of fMRI data

    Kenneth A. Norman;Sean M. Polyn;Greg J. Detre;James V. Haxby

  • Modeling hippocampal and neocortical contributions to recognition memory: a complementary-learning-systems approach.

    Kenneth A. Norman;Randall C. O'Reilly

  • THE COGNITIVE NEUROSCIENCE OF CONSTRUCTIVE MEMORY

    Daniel L. Schacter;Kenneth Andrew Norman;Wilma Koutstaal

  • Discovering Event Structure in Continuous Narrative Perception and Memory

    Christopher Baldassano;Janice Chen;Asieh Zadbood;Jonathan William Pillow

  • A context maintenance and retrieval model of organizational processes in free recall

    Sean M. Polyn;Kenneth A. Norman;Michael J. Kahana

  • Category-specific cortical activity precedes retrieval during memory search.

    Sean M. Polyn;Vaidehi S. Natu;Jonathan D. Cohen;Kenneth A. Norman

  • False recognition in younger and older adults: Exploring the characteristics of illusory memories.

    Kenneth Andrew Norman;Daniel L. Schacter

  • Shared memories reveal shared structure in neural activity across individuals

    Janice Chen;Yuan Chang Leong;Christopher J. Honey;Chung H. Yong

  • Shared computational principles for language processing in humans and deep language models

    Unknown

  • Hippocampal and neocortical contributions to memory: advances in the complementary learning systems framework

    Randall C O'Reilly;Kenneth A Norman

  • Complementary learning systems within the hippocampus: a neural network modelling approach to reconciling episodic memory with statistical learning

    Anna C. Schapiro;Nicholas B. Turk-Browne;Matthew M. Botvinick;Kenneth A. Norman

  • Under what conditions is recognition spared relative to recall after selective hippocampal damage in humans

    JS Holdstock;AR Mayes;Neil Roberts;E Cezayirli

  • Closed-loop training of attention with real-time brain imaging

    Megan T. DeBettencourt;Jonathan D. Cohen;Ray F. Lee;Kenneth Andrew Norman

  • Representation of Real-World Event Schemas during Narrative Perception

    Christopher Baldassano;Uri Hasson;Kenneth A. Norman

  • Recollection, familiarity, and cortical reinstatement: a multivoxel pattern analysis.

    Jeffrey D. Johnson;Susan G.R. McDuff;Michael D. Rugg;Kenneth Andrew Norman

  • Effect of unitization on associative recognition in amnesia

    Joel R. Quamme;Andrew P. Yonelinas;Kenneth Andrew Norman

  • Statistical learning of temporal community structure in the hippocampus

    Anna C. Schapiro;Nicholas B. Turk-Browne;Kenneth A. Norman;Matthew M. Botvinick

  • Memory strength and repetition suppression: multimodal imaging of medial temporal cortical contributions to recognition.

    Brian D. Gonsalves;Itamar Kahn;Itamar Kahn;Tim Curran;Kenneth A. Norman

  • What do differences between multi-voxel and univariate analysis mean? How subject-, voxel-, and trial-level variance impact fMRI analysis.

    Tyler Davis;Karen F. LaRocque;Jeanette A. Mumford;Kenneth Andrew Norman

  • How We Transmit Memories to Other Brains: Constructing Shared Neural Representations Via Communication

    A. Zadbood;J. Chen;Y.C. Leong;K.A. Norman

  • Associative recognition in a patient with selective hippocampal lesions and relatively normal item recognition.

    Andrew R. Mayes;J. S. Holdstock;C. L. Isaac;D. Montaldi

  • How hippocampus and cortex contribute to recognition memory: Revisiting the Complementary Learning Systems model

    Kenneth Andrew Norman

Frequent Co-Authors

Uri Hasson
Uri Hasson Princeton University
Jonathan D. Cohen
Jonathan D. Cohen Princeton University
Samuel J. Gershman
Samuel J. Gershman Harvard University
Yael Niv
Yael Niv Princeton University
Ken A. Paller
Ken A. Paller Northwestern University
Christopher J. Honey
Christopher J. Honey Johns Hopkins University
Peter J. Ramadge
Peter J. Ramadge Princeton University
Marie H. Monfils
Marie H. Monfils The University of Texas at Austin
Daniel L. Schacter
Daniel L. Schacter Harvard University

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