World's Best Scientists 2026 revealed!

D-Index & Metrics

Psychology

D-Index
52
Citations
11891
World Ranking
4960
National Ranking
527

Neuroscience

D-Index
52
Citations
11984
World Ranking
5258
National Ranking
432

Quentin J. M. Huys 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 Quentin J. M. Huys 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: 145 publications — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Quentin J. M. Huys 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 Quentin J. M. Huys 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: 52 D-Index — 57th percentile

57% of scientists in this discipline score the same or lower.

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

Overview

Quentin J. M. Huys is affiliated with University College London in the United Kingdom. Their research primarily spans the fields of Psychology and Neuroscience with a strong focus on subfields such as Experimental and Cognitive Psychology, Cognitive Neuroscience, Pharmacology, Cellular and Molecular Neuroscience, and Applied Psychology.

The scientist's research covers several main topics, including Mental Health Research Topics, Functional Brain Connectivity Studies, Treatment of Major Depression, Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes, Neural and Behavioral Psychology Studies, Neurotransmitter Receptor Influence on Behavior, and Memory and Neural Mechanisms.

Quentin J. M. Huys has contributed to numerous publications, frequently appearing in respected venues such as Biological Psychiatry, bioRxiv (Cold Spring Harbor Laboratory), Biological Psychiatry Cognitive Neuroscience and Neuroimaging, JAMA Psychiatry, and Scientific Reports.

Among their recent papers are:

  • Advances in the computational understanding of mental illness, 2020, Neuropsychopharmacology
  • Computational Mechanisms of Effort and Reward Decisions in Patients With Depression and Their Association With Relapse After Antidepressant Discontinuation, 2020, JAMA Psychiatry
  • Realizing the Clinical Potential of Computational Psychiatry: Report From the Banbury Center Meeting, February 2019, 2020, Biological Psychiatry
  • How representative are neuroimaging samples? Large-scale evidence for trait anxiety differences between fMRI and behaviour-only research participants, 2021, Social Cognitive and Affective Neuroscience
  • Stimulation of the vagus nerve reduces learning in a go/no-go reinforcement learning task, 2020, European Neuropsychopharmacology

The scientist collaborates regularly with several frequent co-authors, including Isabel M. Berwian, Michael Browning, Henrik Walter, Klaas Ε. Stephan, and Erich Seifritz.

Best Publications

  • Computational psychiatry as a bridge from neuroscience to clinical applications

    Quentin J M Huys;Tiago V Maia;Michael J Frank

  • Bonsai Trees in Your Head: How the Pavlovian System Sculpts Goal-Directed Choices by Pruning Decision Trees

    Quentin J. M. Huys;Quentin J. M. Huys;Quentin J. M. Huys;Neir Eshel;Elizabeth J. P. O'Nions;Luke Sheridan

  • Go and no-go learning in reward and punishment: interactions between affect and effect.

    Marc Guitart-Masip;Quentin J.M. Huys;Quentin J.M. Huys;Lluis Fuentemilla;Peter Dayan

  • Disentangling the Roles of Approach, Activation and Valence in Instrumental and Pavlovian Responding

    Quentin J. M. Huys;Roshan Cools;Martin Gölzer;Eva Friedel

  • Mapping anhedonia onto reinforcement learning: a behavioural meta-analysis

    Quentin Jm Huys;Diego A Pizzagalli;Ryan Bogdan;Peter Dayan

  • Serotonin in Affective Control

    Peter Dayan;Quentin J.M. Huys

  • Computational Psychiatry: towards a mathematically informed understanding of mental illness

    Rick A Adams;Quentin J M Huys;Jonathan P Roiser

  • Dopamine restores reward prediction errors in old age

    Rumana Chowdhury;Marc Guitart-Masip;Marc Guitart-Masip;Christian Lambert;Christian Lambert;Peter Dayan

  • The anchoring bias reflects rational use of cognitive resources

    Falk Lieder;Falk Lieder;Thomas L. Griffiths;Thomas L. Griffiths;Quentin J. M. Huys;Quentin J. M. Huys;Noah D. Goodman

  • Interplay of approximate planning strategies

    Quentin J. M. Huys;Quentin J. M. Huys;Níall Lally;Níall Lally;Paul Faulkner;Neir Eshel

  • Ventral striatal dopamine reflects behavioral and neural signatures of model-based control during sequential decision making

    Lorenz Deserno;Lorenz Deserno;Lorenz Deserno;Quentin J. M. Huys;Rebecca Boehme;Ralph Buchert

  • Striatal dysfunction during reversal learning in unmedicated schizophrenia patients

    Florian Schlagenhauf;Quentin J. M. Huys;Lorenz Deserno;Michael A. Rapp

  • Serotonin, Inhibition, and Negative Mood

    Peter Dayan;Quentin J. M Huys;Quentin J. M Huys

  • Action Dominates Valence in Anticipatory Representations in the Human Striatum and Dopaminergic Midbrain

    Marc Guitart-Masip;Lluis Fuentemilla;Dominik R. Bach;Quentin J. M. Huys

  • Depression: A Decision-Theoretic Analysis

    Quentin J.M. Huys;Nathaniel Douglass Daw;Peter Dayan

  • Frontal Theta Overrides Pavlovian Learning Biases

    James F. Cavanagh;Ian Eisenberg;Marc Guitart-Masip;Quentin Huys

  • Model-based and model-free decisions in alcohol dependence

    Miriam Sebold;Lorenz Deserno;Lorenz Deserno;Stephan Nebe;Daniel J Schad

  • Charting the landscape of priority problems in psychiatry, part 1: classification and diagnosis

    Klaas E Stephan;Klaas E Stephan;Klaas E Stephan;Dominik R Bach;Dominik R Bach;Paul C Fletcher;Jonathan Flint

  • Efficient Estimation of Detailed Single-Neuron Models

    Quentin J. M. Huys;Misha B. Ahrens;Liam Paninski

  • Machine learning and big data in psychiatry: toward clinical applications.

    Robb B. Rutledge;Adam M. Chekroud;Quentin J. M. Huys;Quentin J. M. Huys

  • Dopamine restores reward prediction errors in old age (vol 16, pg 648, 2013)

    R Chowdhury;M Guitart-Masip;C Lambert;P Dayan

Frequent Co-Authors

Peter Dayan
Peter Dayan Max Planck Institute for Biological Cybernetics
Andreas Heinz
Andreas Heinz Charité - University Medicine Berlin
Florian Schlagenhauf
Florian Schlagenhauf Charité - University Medicine Berlin
Klaas E. Stephan
Klaas E. Stephan University of Zurich
Michael A. Rapp
Michael A. Rapp University of Potsdam
Raymond J. Dolan
Raymond J. Dolan University College London
Lorenz Deserno
Lorenz Deserno University of Wurzburg
Henrik Walter
Henrik Walter Charité - University Medicine Berlin
Erich Seifritz
Erich Seifritz University of Zurich

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