World's Best Scientists 2026 revealed!
Michael J. Frank

Michael J. Frank

D-Index & Metrics

Psychology

D-Index
102
Citations
43485
World Ranking
568
National Ranking
359

Neuroscience

D-Index
103
Citations
43804
World Ranking
680
National Ranking
379

Michael J. Frank 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 Michael J. Frank 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: 253 publications — 81st percentile

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

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

Michael J. Frank 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 Michael J. Frank 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: 102 D-Index — 95th percentile

95% of scientists in this discipline score the same or lower.

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

Overview

Michael J. Frank is affiliated with Brown University in the United States. Their research primarily focuses on neuroscience, with a significant emphasis on cognitive neuroscience, experimental and cognitive psychology, and artificial intelligence, as well as neurology and psychiatry and mental health.

The scientist's work covers several main topics including neural and behavioral psychology studies, neural dynamics and brain function, functional brain connectivity studies, mental health research topics, EEG and brain-computer interfaces, schizophrenia research and treatment, and neurological disorders and treatments.

Michael J. Frank has published extensively in various venues. Frequent publication venues include bioRxiv (Cold Spring Harbor Laboratory), PLoS Computational Biology, Biological Psychiatry Cognitive Neuroscience and Neuroimaging, arXiv (Cornell University), and eLife.

Their recent papers include the following:

  • "Dopamine promotes cognitive effort by biasing the benefits versus costs of cognitive work" (2020, Science)
  • "Wave-like dopamine dynamics as a mechanism for spatiotemporal credit assignment" (2021, Cell)
  • "Advances in the computational understanding of mental illness" (2020, Neuropsychopharmacology)
  • "Computational Psychiatry Needs Time and Context" (2021, Annual Review of Psychology)
  • "Anxiety Impedes Adaptive Social Learning Under Uncertainty" (2020, Psychological Science)

They frequently collaborate with several coauthors, including James M. Gold, Deanna M. Barch, Angus W. MacDonald, J. Daniel Ragland, and Megan A. Boudewyn.

Best Publications

  • Frontal theta as a mechanism for cognitive control

    James F. Cavanagh;Michael J. Frank

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

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

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

    Randall C. O'Reilly;Michael J. Frank

  • Hold your horses: impulsivity, deep brain stimulation, and medication in parkinsonism.

    Michael J. Frank;Johan Samanta;Johan Samanta;Ahmed A. Moustafa;Scott J. Sherman

  • Triangulating a Cognitive Control Network Using Diffusion-Weighted Magnetic Resonance Imaging (MRI) and Functional MRI

    Adam R. Aron;Tim E. Behrens;Steve Smith;Michael J. Frank

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

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

  • HDDM: Hierarchical Bayesian estimation of the Drift-Diffusion Model in Python.

    Thomas V. Wiecki;Imri Sofer;Michael Joshua Frank

  • Computational psychiatry as a bridge from neuroscience to clinical applications

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

  • Dynamic Dopamine Modulation in the Basal Ganglia: A Neurocomputational Account of Cognitive Deficits in Medicated and Nonmedicated Parkinsonism

    Michael J. Frank

  • From reinforcement learning models to psychiatric and neurological disorders

    Tiago V Maia;Michael J Frank

  • Hold your horses: a dynamic computational role for the subthalamic nucleus in decision making

    Michael J. Frank

  • Genetic triple dissociation reveals multiple roles for dopamine in reinforcement learning

    Michael J. Frank;Ahmed A. Moustafa;Heather M. Haughey;Tim Curran

  • Subthalamic nucleus stimulation reverses mediofrontal influence over decision threshold

    James F Cavanagh;Thomas V Wiecki;Michael X Cohen;Michael X Cohen;Christina M Figueroa

  • Anatomy of a decision: striato-orbitofrontal interactions in reinforcement learning, decision making, and reversal.

    Michael J. Frank;Eric D. Claus

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

    Michael J. Frank;Randall C. O'Reilly

  • Prefrontal and striatal dopaminergic genes predict individual differences in exploration and exploitation

    Michael J Frank;Bradley B Doll;Jen Oas-Terpstra;Francisco Moreno

  • How much of reinforcement learning is working memory, not reinforcement learning? A behavioral, computational, and neurogenetic analysis

    Anne G. E. Collins;Michael J. Frank

  • 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

  • Frontal theta links prediction errors to behavioral adaptation in reinforcement learning.

    James F. Cavanagh;Michael Joshua Frank;Theresa J. Klein;John J. B. Allen

  • Error-Related Negativity Predicts Reinforcement Learning and Conflict Biases

    Michael J. Frank;Brion S. Woroch;Tim Curran

Frequent Co-Authors

James M. Gold
James M. Gold University of Maryland, Baltimore
James F. Cavanagh
James F. Cavanagh University of New Mexico
Randall C. O'Reilly
Randall C. O'Reilly University of California, Davis
Diego A. Pizzagalli
Diego A. Pizzagalli Harvard University
Ahmed A. Moustafa
Ahmed A. Moustafa Bond University
Quentin J. M. Huys
Quentin J. M. Huys University College London
Roshan Cools
Roshan Cools Radboud University
John J.B. Allen
John J.B. Allen University of Arizona
David Badre
David Badre Brown University
Michael X Cohen
Michael X Cohen Radboud University

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