World's Best Scientists 2026 revealed!

D-Index & Metrics

Psychology

D-Index
68
Citations
34607
World Ranking
2423
National Ranking
1404

Neuroscience

D-Index
68
Citations
34723
World Ranking
2695
National Ranking
1262

Randall C. O'Reilly 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 Randall C. O'Reilly 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: 163 publications — 56th percentile

56% of scientists in this discipline score the same or lower.

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

Randall C. O'Reilly 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 Randall C. O'Reilly 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: 68 D-Index — 79th percentile

79% of scientists in this discipline score the same or lower.

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

Overview

Randall C. O'Reilly is affiliated with the University of California, Davis, in the United States. Their primary field of study is neuroscience, with a particular focus on cognitive neuroscience. Their research spans multiple subfields, including artificial intelligence, cellular and molecular neuroscience, electrical and electronic engineering, and psychiatry and mental health. The main topics covered in their work include memory and neural mechanisms, neural dynamics and brain function, functional brain connectivity studies, neural and behavioral psychology studies, neuroscience and neuropharmacology research, neural networks and applications, and EEG and brain-computer interfaces.

O'Reilly has contributed to research published predominantly in venues such as arXiv (Cornell University) and bioRxiv (Cold Spring Harbor Laboratory). Other notable venues include Biological Psychiatry, Trends in Cognitive Sciences, and Psychological Review.

  • Deep Predictive Learning in Neocortex and Pulvinar (2021, PubMed Central)
  • Unraveling the Mysteries of Motivation (2020, Trends in Cognitive Sciences)
  • The Structure of Systematicity in the Brain (2022, Current Directions in Psychological Science)
  • A systems-neuroscience model of phasic dopamine (2020, Psychological Review)
  • Correcting the hebbian mistake: Toward a fully error-driven hippocampus (2022, PLoS Computational Biology)

Their frequent co-authors include Charan Ranganath, Jacob Russin, Yicong Zheng, Maryam Zolfaghar, and Xiaonan L. Liu.

Best Publications

  • Why there are complementary learning systems in the hippocampus and neocortex: insights from the successes and failures of connectionist models of learning and memory.

    James L. McClelland;Bruce L. McNaughton;Randall C. O'Reilly

  • By Carrot or by Stick: Cognitive Reinforcement Learning in Parkinsonism

    Michael J. Frank;Lauren C. Seeberger;Randall C. O'Reilly

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

    Kenneth A. Norman;Randall C. O'Reilly

  • Computational Explorations in Cognitive Neuroscience: Understanding the Mind by Simulating the Brain

    Randall C. O'Reilly;Yuko Munakata

  • Making Working Memory Work: A Computational Model of Learning in the Prefrontal Cortex and Basal Ganglia

    Randall C. O'Reilly;Michael J. Frank

  • Hippocampal conjunctive encoding, storage, and recall: avoiding a trade-off.

    Randall C. O'Reilly;James L. McClelland

  • Interactions between frontal cortex and basal ganglia in working memory: a computational model.

    Michael J. Frank;Bryan Loughry;Randall C. O’Reilly

  • Conjunctive representations in learning and memory: principles of cortical and hippocampal function.

    Randall C. O'Reilly;Jerry W. Rudy

  • A unified framework for inhibitory control.

    Yuko Munakata;Seth A. Herd;Christopher H. Chatham;Brendan E. Depue

  • A computational approach to prefrontal cortex, cognitive control and schizophrenia: Recent developments and current challenges

    Jonathan D. Cohen;Todd S. Braver;Randall C. O'Reilly

  • Biologically Based Computational Models of High-Level Cognition

    Randall C. O'Reilly

  • A mechanistic account of striatal dopamine function in human cognition: psychopharmacological studies with cabergoline and haloperidol.

    Michael J. Frank;Randall C. O'Reilly

  • Towards an executive without a homunculus: computational models of the prefrontal cortex/basal ganglia system

    Thomas E Hazy;Michael J Frank;Randall C O'Reilly

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

    Randall C O'Reilly;Kenneth A Norman

  • A Biologically Based Computational Model of Working Memory

    Randall C. O'Reilly;Todd S. Braver;Jonathan D. Cohen

  • Prefrontal cortex and flexible cognitive control: rules without symbols.

    Nicolas P. Rougier;David C. Noelle;Todd S. Braver;Jonathan D. Cohen

  • Six principles for biologically based computational models of cortical cognition

    Randall C. O'Reilly

  • Banishing the Homunculus: Making Working Memory Work

    T.E. Hazy;M.J. Frank;R.C. O’Reilly

  • Biologically plausible error-driven learning using local activation differences: The generalized recirculation algorithm

    Randall C. O'Reilly

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

    JS Holdstock;AR Mayes;Neil Roberts;E Cezayirli

Frequent Co-Authors

Jonathan D. Cohen
Jonathan D. Cohen Princeton University
Michael J. Frank
Michael J. Frank Brown University
Christian Lebiere
Christian Lebiere Carnegie Mellon University
Jerry W. Rudy
Jerry W. Rudy University of Colorado Boulder
Yuko Munakata
Yuko Munakata University of California, Davis
Tim Curran
Tim Curran University of Colorado Boulder
John R. Anderson
John R. Anderson Carnegie Mellon University
Todd S. Braver
Todd S. Braver Washington University in St. Louis
Shaun P. Vecera
Shaun P. Vecera University of Iowa
Kenneth A. Norman
Kenneth A. Norman Princeton University

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Related Online Degrees & Career Pathways

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Understanding these path-specific requirements can help you select the right online program and prepare you for a rewarding career helping others.

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