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Michael J. Frank

Michael J. Frank

Brown University
United States

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Psychology 102 568 495 359 304 253 43485
Neuroscience 103 680 611 379 332 264 43804

Michael J. Frank publications per year

The chart shows the history of publications by Michael J. Frank between 1985 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Michael J. Frank published across 41 years, from 1985 to 2025, averaging 10 papers a year. Output peaked at 30 publications in 2024. 57 of the 409 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 1985 to 2025. Vertical axis: number of publications, 0 to 30. Peak 30 publications in 2024. 1985: 1 publication 1986: 0 publications 1987: 0 publications 1988: 0 publications 1989: 1 publication 1990: 3 publications 1991: 0 publications 1992: 1 publication 1993: 1 publication 1994: 0 publications 1995: 2 publications 1996: 4 publications 1997: 3 publications 1998: 2 publications 1999: 2 publications 2000: 3 publications 2001: 2 publications 2002: 4 publications 2003: 1 publication 2004: 3 publications 2005: 5 publications 2006: 8 publications 2007: 11 publications 2008: 11 publications 2009: 22 publications 2010: 12 publications 2011: 21 publications 2012: 14 publications 2013: 16 publications 2014: 14 publications 2015: 21 publications 2016: 23 publications 2017: 17 publications 2018: 23 publications 2019: 29 publications 2020: 17 publications 2021: 21 publications 2022: 18 publications 2023: 16 publications 2024: 30 publications 2025: 27 publications
1985 2025

409 publications in total across all disciplines

View publications per year as a table
Michael J. Frank: publications per year, 1985 to 2025
Year Publications
1985 1
1986 0
1987 0
1988 0
1989 1
1990 3
1991 0
1992 1
1993 1
1994 0
1995 2
1996 4
1997 3
1998 2
1999 2
2000 3
2001 2
2002 4
2003 1
2004 3
2005 5
2006 8
2007 11
2008 11
2009 22
2010 12
2011 21
2012 14
2013 16
2014 14
2015 21
2016 23
2017 17
2018 23
2019 29
2020 17
2021 21
2022 18
2023 16
2024 30
2025 27
Total 409
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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.

No. of scientists
200 400 600
Bar chart with 69 bars. Horizontal axis: publications, 31–40 to 705+. Vertical axis: number of scientists, 0 to 736. Most scientists, 736, have 101–110 publications. The last bar groups every scientist with 705 publications or more. The highlighted bar, 251–260 publications, is where this scientist sits. 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
31–40 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.

View publications distribution as a table
Number of Psychology scientists by publication count, Research.com 2026 ranking edition. Based on 11,416 ranked scientists.
Publications Scientists This scientist
31–40 6
41–50 52
51–60 138
61–70 299
71–80 461
81–90 605
91–100 713
101–110 736
111–120 686
121–130 670
131–140 644
141–150 597
151–160 576
161–170 477
171–180 450
181–190 397
191–200 343
201–210 328
211–220 313
221–230 283
231–240 226
241–250 196
251–260 201 253
261–270 171
271–280 151
281–290 139
291–300 113
301–310 102
311–320 100
321–330 76
331–340 92
341–350 85
351–360 69
361–370 71
371–380 63
381–390 58
391–400 57
401–410 43
411–420 33
421–430 50
431–440 41
441–450 32
451–460 27
461–470 28
471–480 25
481–490 28
491–500 20
501–510 23
511–520 26
521–530 17
531–540 21
541–550 14
551–560 16
561–570 10
571–580 22
581–590 9
591–600 14
601–610 9
611–620 11
621–630 4
631–640 7
641–650 5
651–660 10
661–670 8
671–680 8
681–690 4
691–700 3
701–704 4
705+ 100
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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.

No. of scientists
200 400 600
Bar chart with 58 bars. Horizontal axis: D-Index, 30–31 to 144+. Vertical axis: number of scientists, 0 to 702. Most scientists, 702, have 32–33 D-Index. The last bar groups every scientist with 144 D-Index or more. The highlighted bar, 102–103 D-Index, is where this scientist sits. 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
30–31 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.

View D-Index distribution as a table
Number of Psychology scientists by D-index, Research.com 2026 ranking edition. Based on 11,416 ranked scientists.
D-Index Scientists This scientist
30–31 398
32–33 702
34–35 671
36–37 659
38–39 641
40–41 671
42–43 617
44–45 558
46–47 495
48–49 487
50–51 445
52–53 390
54–55 408
56–57 345
58–59 325
60–61 321
62–63 248
64–65 290
66–67 218
68–69 219
70–71 215
72–73 183
74–75 169
76–77 132
78–79 137
80–81 120
82–83 112
84–85 86
86–87 101
88–89 83
90–91 77
92–93 70
94–95 78
96–97 58
98–99 53
100–101 57
102–103 48 102
104–105 53
106–107 46
108–109 24
110–111 35
112–113 27
114–115 32
116–117 31
118–119 22
120–121 16
122–123 24
124–125 18
126–127 11
128–129 19
130–131 10
132–133 16
134–135 10
136–137 12
138–139 8
140–141 5
142–143 12
144+ 98
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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

External Links

Personal website of Michael J. Frank Google Scholar page

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Klaas E. Stephan

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Peter Dayan

Peter Dayan

Max Planck Institute for Biological Cybernetics

Publications: 86

Trevor W. Robbins

Trevor W. Robbins

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Diego A. Pizzagalli

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Publications: 85

Nathaniel D. Daw

Nathaniel D. Daw

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Publications: 81

Ahmed A. Moustafa

Ahmed A. Moustafa

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Publications: 77

Karl J. Friston

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Publications: 74

Samuel J. Gershman

Samuel J. Gershman

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Publications: 71

Christian Beste

Christian Beste

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Publications: 65

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Publications: 62

Michael X Cohen

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Publications: 59

Birte U. Forstmann

Birte U. Forstmann

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Publications: 58

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Florian Schlagenhauf

Charité - University Medicine Berlin

Publications: 54

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Publications: 54

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