World's Best Scientists 2026 revealed!
Philip R. Corlett

Philip R. Corlett

D-Index & Metrics

Psychology

D-Index
58
Citations
14944
World Ranking
3843
National Ranking
2156

Philip R. Corlett 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 Philip R. Corlett 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: 182 publications — 63rd percentile

63% of scientists in this discipline score the same or lower.

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

Philip R. Corlett 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 Philip R. Corlett 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: 58 D-Index — 67th percentile

67% of scientists in this discipline score the same or lower.

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

Overview

Philip R. Corlett is affiliated with Yale University in the United States and specializes in research at the intersection of neuroscience, medicine, and psychology. Their work spans several key fields of study including Neuroscience, Medicine, and Psychology, with significant contributions in subfields such as Cognitive Neuroscience, Psychiatry and Mental Health, Experimental and Cognitive Psychology, Philosophy, and Clinical Psychology.

The scientist's research topics include:

  • Schizophrenia research and treatment
  • Mental Health and Psychiatry
  • Psychosomatic Disorders and Their Treatments
  • Mental Health Research Topics
  • Psychology of Moral and Emotional Judgment
  • Functional Brain Connectivity Studies
  • Neural and Behavioral Psychology Studies

Philip R. Corlett has published extensively, with notable recent papers including:

  • "Illusory generalizability of clinical prediction models," 2024, Science
  • "Paranoia as a deficit in non-social belief updating," 2020, eLife
  • "Meta-analysis of human prediction error for incentives, perception, cognition, and action," 2022, Neuropsychopharmacology
  • "Paranoia and belief updating during the COVID-19 crisis," 2021, Nature Human Behaviour
  • "Aberrant Salience, Information Processing, and Dopaminergic Signaling in People at Clinical High Risk for Psychosis," 2020, Biological Psychiatry

The frequent co-authors in Philip R. Corlett's body of work include:

  • James M. Gold
  • James A. Waltz
  • Albert R. Powers
  • Steven M. Silverstein
  • Vijay A. Mittal

Philip R. Corlett's publications have appeared predominantly in:

  • Biological Psychiatry
  • Schizophrenia Bulletin
  • Schizophrenia
  • Biological Psychiatry Cognitive Neuroscience and Neuroimaging
  • Scientific Reports

Best Publications

  • The role of default network deactivation in cognition and disease.

    Alan Anticevic;Michael W. Cole;John D. Murray;Philip R. Corlett

  • The Predictive Coding Account of Psychosis

    Philipp Sterzer;Rick A. Adams;Paul Fletcher;Chris Frith

  • Pavlovian conditioning-induced hallucinations result from overweighting of perceptual priors

    A. R. Powers;Christoph Mathys;Christoph Mathys;Christoph Mathys;P. R. Corlett

  • Cross-trial prediction of treatment outcome in depression: a machine learning approach

    Adam Mourad Chekroud;Ryan Joseph Zotti;Zarrar Shehzad;Ralitza Gueorguieva

  • Substantia nigra/ventral tegmental reward prediction error disruption in psychosis

    G K Murray;P R Corlett;L Clark;M Pessiglione

  • Hallucinations and Strong Priors

    Philip R. Corlett;Guillermo Horga;Paul C. Fletcher;Paul C. Fletcher;Ben Alderson-Day

  • Disrupted prediction-error signal in psychosis: evidence for an associative account of delusions.

    P.R. Corlett;G.K. Murray;G.D. Honey;M.R.F. Aitken

  • Toward a Neurobiology of Delusions

    P. R. Corlett;J. R. Taylor;Xiao-Jing Wang;P. C. Fletcher

  • From drugs to deprivation: a Bayesian framework for understanding models of psychosis.

    P. R. Corlett;P. R. Corlett;C. D. Frith;P. C. Fletcher

  • Linking Microcircuit Dysfunction to Cognitive Impairment: Effects of Disinhibition Associated with Schizophrenia in a Cortical Working Memory Model

    John D. Murray;Alan Anticevic;Alan Anticevic;Mark Gancsos;Megan Ichinose

  • NMDA receptor function in large-scale anticorrelated neural systems with implications for cognition and schizophrenia

    Alan Anticevic;Mark Gancsos;John D. Murray;Grega Repovs

  • Aberrant Learning and Memory in Addiction

    Mary M. Torregrossa;Philip R. Corlett;Jane R. Taylor

  • Time-limited modulation of appetitive Pavlovian memory by D1 and NMDA receptors in the nucleus accumbens

    Jeffrey W. Dalley;Kristjan Lääne;David E. H. Theobald;Hannah C. Armstrong

  • From prediction error to psychosis: ketamine as a pharmacological model of delusions.

    P.R. Corlett;G.D. Honey;P.C. Fletcher

  • Glutamatergic model psychoses: prediction error, learning, and inference.

    Philip R Corlett;Garry D Honey;John H Krystal;Paul C Fletcher

  • Psychological effects of ketamine in healthy volunteers. Phenomenological study.

    E. Pomarol-Clotet;G. D. Honey;G. K. Murray;P. R. Corlett

  • Differential engagement of the ventromedial prefrontal cortex by goal-directed and habitual behavior toward food pictures in humans

    Sanne de Wit;Philip R Corlett;Michael Aitken;Anthony Dickinson

  • Functional dysconnectivity in schizophrenia associated with attentional modulation of motor function

    Garry D. Honey;Edith Pomarol-Clotet;Philip R. Corlett;Rebekah A. E. Honey

  • Frontal responses during learning predict vulnerability to the psychotogenic effects of ketamine: Linking cognition, brain activity, and psychosis

    Philip R. Corlett;Garry D. Honey;Michael R. F. Aitken;Anthony Dickinson

  • On the Benefits of not Trying: Brain Activity and Connectivity Reflecting the Interactions of Explicit and Implicit Sequence Learning

    P.C. Fletcher;O. Zafiris;C.D. Frith;R.A.E. Honey

Frequent Co-Authors

Paul C. Fletcher
Paul C. Fletcher University of Cambridge
John H. Krystal
John H. Krystal Yale University
Graham K. Murray
Graham K. Murray University of Cambridge
Garry D. Honey
Garry D. Honey Roche (Switzerland)
Jane R. Taylor
Jane R. Taylor Yale University
Trevor W. Robbins
Trevor W. Robbins University of Cambridge
Edward T. Bullmore
Edward T. Bullmore King's College London
Christoph Mathys
Christoph Mathys Aarhus University
Alan Anticevic
Alan Anticevic Yale University
James M. Gold
James M. Gold University of Maryland, Baltimore

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