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Rafal Bogacz

D-Index & Metrics

Neuroscience

D-Index
49
Citations
13524
World Ranking
5879
National Ranking
475

Rafal Bogacz publication distribution in Neuroscience in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Neuroscience in 2026. The highlighted bar marks where Rafal Bogacz sits on this spectrum.

38–47 publications: 18 scientists 48–57 publications: 79 scientists 58–67 publications: 193 scientists 68–77 publications: 323 scientists 78–87 publications: 406 scientists 88–97 publications: 452 scientists 98–107 publications: 539 scientists 108–117 publications: 505 scientists 118–127 publications: 522 scientists 128–137 publications: 469 scientists 138–147 publications: 456 scientists 148–157 publications: 459 scientists 158–167 publications: 397 scientists 168–177 publications: 383 scientists 178–187 publications: 350 scientists 188–197 publications: 302 scientists 198–207 publications: 306 scientists 208–217 publications: 262 scientists 218–227 publications: 242 scientists 228–237 publications: 220 scientists 238–247 publications: 203 scientists 248–257 publications: 174 scientists 258–267 publications: 176 scientists 268–277 publications: 175 scientists 278–287 publications: 125 scientists 288–297 publications: 116 scientists 298–307 publications: 127 scientists 308–317 publications: 128 scientists 318–327 publications: 99 scientists 328–337 publications: 89 scientists 338–347 publications: 78 scientists 348–357 publications: 96 scientists 358–367 publications: 66 scientists 368–377 publications: 59 scientists 378–387 publications: 65 scientists 388–397 publications: 54 scientists 398–407 publications: 48 scientists 408–417 publications: 49 scientists 418–427 publications: 34 scientists 428–437 publications: 31 scientists 438–447 publications: 30 scientists 448–457 publications: 31 scientists 458–467 publications: 36 scientists 468–477 publications: 40 scientists 478–487 publications: 35 scientists 488–497 publications: 30 scientists 498–507 publications: 23 scientists 508–517 publications: 26 scientists 518–527 publications: 20 scientists 528–537 publications: 23 scientists 538–547 publications: 20 scientists 548–557 publications: 20 scientists 558–567 publications: 17 scientists 568–577 publications: 14 scientists 578–587 publications: 20 scientists 588–597 publications: 20 scientists 598–607 publications: 19 scientists 608–617 publications: 18 scientists 618–627 publications: 17 scientists 628–637 publications: 11 scientists 638–647 publications: 11 scientists 648–657 publications: 11 scientists 658–667 publications: 8 scientists 668–677 publications: 7 scientists 678–687 publications: 11 scientists 688–697 publications: 10 scientists 698–707 publications: 4 scientists 708–717 publications: 6 scientists 718–727 publications: 5 scientists 728–737 publications: 5 scientists 738–747 publications: 9 scientists 748–757 publications: 9 scientists 758–767 publications: 3 scientists 768–777 publications: 7 scientists 778–787 publications: 7 scientists 788–797 publications: 6 scientists 798–807 publications: 2 scientists 808–817 publications: 2 scientists 818–827 publications: 7 scientists 828–837 publications: 0 scientists 838–847 publications: 9 scientists 848–857 publications: 3 scientists 858–867 publications: 1 scientists 868–877 publications: 3 scientists 878–886 publications: 6 scientists 887+ publications: 100 scientists
38 publications 887+

This scientist: 174 publications — 53rd percentile

53% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 887 publications or more.

Rafal Bogacz D-index placement in Neuroscience in 2026

The chart shows the D-index (discipline H-index) distribution of Neuroscience scientists ranked by Research.com in 2026. The highlighted bar marks where Rafal Bogacz sits on this spectrum.

30–31 D-Index: 42 scientists 32–33 D-Index: 172 scientists 34–35 D-Index: 296 scientists 36–37 D-Index: 435 scientists 38–39 D-Index: 459 scientists 40–41 D-Index: 456 scientists 42–43 D-Index: 467 scientists 44–45 D-Index: 478 scientists 46–47 D-Index: 512 scientists 48–49 D-Index: 435 scientists 50–51 D-Index: 425 scientists 52–53 D-Index: 418 scientists 54–55 D-Index: 392 scientists 56–57 D-Index: 357 scientists 58–59 D-Index: 334 scientists 60–61 D-Index: 328 scientists 62–63 D-Index: 260 scientists 64–65 D-Index: 278 scientists 66–67 D-Index: 239 scientists 68–69 D-Index: 250 scientists 70–71 D-Index: 210 scientists 72–73 D-Index: 200 scientists 74–75 D-Index: 189 scientists 76–77 D-Index: 170 scientists 78–79 D-Index: 146 scientists 80–81 D-Index: 113 scientists 82–83 D-Index: 126 scientists 84–85 D-Index: 100 scientists 86–87 D-Index: 84 scientists 88–89 D-Index: 99 scientists 90–91 D-Index: 84 scientists 92–93 D-Index: 85 scientists 94–95 D-Index: 72 scientists 96–97 D-Index: 76 scientists 98–99 D-Index: 45 scientists 100–101 D-Index: 49 scientists 102–103 D-Index: 43 scientists 104–105 D-Index: 32 scientists 106–107 D-Index: 45 scientists 108–109 D-Index: 50 scientists 110–111 D-Index: 32 scientists 112–113 D-Index: 39 scientists 114–115 D-Index: 32 scientists 116–117 D-Index: 29 scientists 118–119 D-Index: 27 scientists 120–121 D-Index: 19 scientists 122–123 D-Index: 23 scientists 124–125 D-Index: 27 scientists 126–127 D-Index: 16 scientists 128–129 D-Index: 24 scientists 130–131 D-Index: 13 scientists 132–133 D-Index: 21 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 14 scientists 138–139 D-Index: 15 scientists 140–141 D-Index: 10 scientists 142–143 D-Index: 10 scientists 144–145 D-Index: 13 scientists 146–147 D-Index: 9 scientists 148–149 D-Index: 8 scientists 150–151 D-Index: 6 scientists 152–153 D-Index: 6 scientists 154–155 D-Index: 7 scientists 156–157 D-Index: 7 scientists 158–159 D-Index: 10 scientists 160–161 D-Index: 4 scientists 162 D-Index: 8 scientists 163+ D-Index: 100 scientists
30 D-Index 163+

This scientist: 49 D-Index — 39th percentile

39% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 163 D-Index or more.

Overview

Rafal Bogacz is affiliated with the University of Oxford in the United Kingdom, contributing extensively to the field of neuroscience. Their research primarily focuses on neural dynamics, brain function, and neurological disorders, with a strong emphasis on cognitive neuroscience and cellular and molecular neuroscience. They also address topics in artificial intelligence and electrical and electronic engineering within the broader neuroscience context.

The main fields of study explored by Rafal Bogacz include:

  • Neuroscience

Subfields of study encompass:

  • Cognitive Neuroscience
  • Cellular and Molecular Neuroscience
  • Neurology
  • Artificial Intelligence
  • Electrical and Electronic Engineering

The scientist's work covers a variety of main topics such as:

  • Neural dynamics and brain function
  • Neurological disorders and treatments
  • Neuroscience and Neural Engineering
  • Neural and Behavioral Psychology Studies
  • Advanced Memory and Neural Computing
  • Neural Networks and Applications
  • Neurotransmitter Receptor Influence on Behavior

Frequent publication venues for Rafal Bogacz include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • arXiv (Cornell University)
  • PLoS Computational Biology
  • Nature Communications
  • Journal of Neural Engineering

Notable recent papers authored or co-authored by Rafal Bogacz illustrate the range and impact of their scientific contributions:

  • "Neural signatures of hyperdirect pathway activity in Parkinson's disease" (2021), published in Nature Communications
  • "Dopamine role in learning and action inference" (2020), published in eLife
  • "Inferring neural activity before plasticity as a foundation for learning beyond backpropagation" (2024), published in Nature Neuroscience
  • "A Normative Account of Confirmation Bias During Reinforcement Learning" (2021), published in Neural Computation
  • "Average beta burst duration profiles provide a signature of dynamical changes between the ON and OFF medication states in Parkinson's disease" (2021), published in PLoS Computational Biology

Collaboration with frequent co-authors has been a notable aspect of their work, with repeated partnerships with:

  • Yuhang Song
  • Beren Millidge
  • Tommaso Salvatori
  • Thomas Lukasiewicz
  • Benoit Duchet

Best Publications

  • The physics of optimal decision making: a formal analysis of models of performance in two-alternative forced-choice tasks.

    Rafal Bogacz;Eric Brown;Jeff Moehlis;Philip Holmes

  • A deep learning framework for neuroscience

    Blake A Richards;Timothy P Lillicrap;Philippe Beaudoin;Yoshua Bengio;Yoshua Bengio

  • The neural basis of the speed–accuracy tradeoff

    Rafal Bogacz;Eric-Jan Wagenmakers;Birte U. Forstmann;Sander Nieuwenhuis

  • Optimal decision-making theories: linking neurobiology with behaviour

    Rafal Bogacz

  • The Basal Ganglia and Cortex Implement Optimal Decision Making Between Alternative Actions

    Rafal Bogacz;Kevin Gurney

  • Cortico-striatal connections predict control over speed and accuracy in perceptual decision making

    Birte U. Forstmann;Alfred Anwander;Andreas Schäfer;Jane Neumann

  • Theories of Error Back-Propagation in the Brain.

    James C.R. Whittington;Rafal Bogacz

  • A tutorial on the free-energy framework for modelling perception and learning.

    Rafal Bogacz

  • On optimal decision-making in brains and social insect colonies

    James A. R. Marshall;Rafal Bogacz;Anna Dornhaus;Robert Planqué

  • Detection of synchronized oscillations in the electroencephalogram: An evaluation of methods

    Nick Yeung;Rafal Bogacz;Clay B. Holroyd;Jonathan D. Cohen;Jonathan D. Cohen

  • Conditions for the generation of beta oscillations in the subthalamic nucleus-globus pallidus network

    Alejo J Nevado Holgado;John R Terry;Rafal Bogacz

  • An Approximation of the Error Backpropagation Algorithm in a Predictive Coding Network with Local Hebbian Synaptic Plasticity.

    James C. R. Whittington;Rafal Bogacz

  • Do humans produce the speed–accuracy trade-off that maximizes reward rate?

    Rafal Bogacz;Peter T. Hu;Philip J. Holmes;Jonathan D. Cohen

  • Action initiation shapes mesolimbic dopamine encoding of future rewards

    Emilie C J Syed;Laura L Grima;Peter J Magill;Rafal Bogacz

  • Extending a biologically inspired model of choice: multi-alternatives, nonlinearity and value-based multidimensional choice

    Rafal Bogacz;Marius Usher;Jiaxiang Zhang;James L. McClelland

  • Theta phase resetting and the error-related negativity

    Nick Yeung;Rafal Bogacz;Clay B. Holroyd;Sander Nieuwenhuis

  • Distinct Developmental Origins Manifest in the Specialized Encoding of Movement by Adult Neurons of the External Globus Pallidus

    Paul D. Dodson;Joseph T. Larvin;James M. Duffell;Farid N. Garas

  • Neural Correlates of Decision Thresholds in the Human Subthalamic Nucleus

    Damian M. Herz;Baltazar A. Zavala;Rafal Bogacz;Rafal Bogacz;Peter Brown;Peter Brown

  • Neural signatures of hyperdirect pathway activity in Parkinson's disease.

    Ashwini Oswal;Ashwini Oswal;Chunyan Cao;Chien-Hung Yeh;Chien-Hung Yeh;Wolf-Julian Neumann

  • Model of familiarity discrimination in the perirhinal cortex.

    Rafal Bogacz;Malcolm W. Brown;Christophe G. Giraud-Carrier

  • Computational models describing possible mechanisms for generation of excessive beta oscillations in Parkinson's disease

    Alexander Pavlides;John Hogan;Rafal Bogacz;Rafal Bogacz;Rafal Bogacz

  • Mammalian choices: combining fast-but-inaccurate and slow-but-accurate decision-making systems

    Pete C Trimmer;Alasdair I Houston;James A.R Marshall;Rafal Bogacz

Frequent Co-Authors

Malcolm W. Brown
Malcolm W. Brown University of Bristol
Peter Brown
Peter Brown University of Oxford
Christophe Giraud-Carrier
Christophe Giraud-Carrier Brigham Young University
Jonathan D. Cohen
Jonathan D. Cohen Princeton University
Philip Holmes
Philip Holmes Princeton University
Thomas Foltynie
Thomas Foltynie University College London
Patricia Limousin
Patricia Limousin University College London
Alexander L. Green
Alexander L. Green University of Oxford
Peter J. Magill
Peter J. Magill University of Oxford
Birte U. Forstmann
Birte U. Forstmann University of Amsterdam

External Links

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Related Online Degrees & Career Pathways

Studying neuroscience opens doors to a variety of academic and professional pathways. Many students now look for flexible options such as an accelerated bachelor's degree online, which can fast-track your education and entry into the workforce. These programs offer intensive curricula and allow you to earn a degree in less time than traditional routes.

When considering which degree to pursue, it's important to ask: what bachelor's degree should I get? Neuroscience can lead to roles in healthcare, research, and technology, but it’s wise to compare potential earnings and growth opportunities across other disciplines.

Aspirants who want to maximize career outcomes should also explore what degrees make the most money. Degrees in neuroscience, computer science, and engineering often offer strong salary prospects and long-term stability in the job market.

Finally, affordability is a priority for many students. You can reduce financial stress by selecting the cheapest online college that meets federal aid criteria, making your neuroscience degree more accessible without compromising quality.

Best Scientists Citing Rafal Bogacz

Birte U. Forstmann

Birte U. Forstmann

University of Amsterdam

Publications: 67

Jonathan D. Cohen

Jonathan D. Cohen

Princeton University

Publications: 50

Eric-Jan Wagenmakers

Eric-Jan Wagenmakers

University of Amsterdam

Publications: 42

Tobias H. Donner

Tobias H. Donner

Universität Hamburg

Publications: 42

Peter Brown

Peter Brown

University of Oxford

Publications: 38

Scott D. Brown

Scott D. Brown

University of Newcastle Australia

Publications: 38

Michael J. Frank

Michael J. Frank

Brown University

Publications: 38

Michael N. Shadlen

Michael N. Shadlen

Columbia University

Publications: 34

Philip Holmes

Philip Holmes

Princeton University

Publications: 34

Karl J. Friston

Karl J. Friston

University College London

Publications: 31

Kevin Gurney

Kevin Gurney

University of Sheffield

Publications: 31

Roger Ratcliff

Roger Ratcliff

The Ohio State University

Publications: 30

Roozbeh Kiani

Roozbeh Kiani

New York University

Publications: 29

Naomi Ehrich Leonard

Naomi Ehrich Leonard

Princeton University

Publications: 28

Michael X Cohen

Michael X Cohen

Radboud University

Publications: 28

Carlos D. Brody

Carlos D. Brody

Princeton University

Publications: 26

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