World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
60
Citations
31456
World Ranking
3753
National Ranking
331

Ben Seymour 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 Ben Seymour 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: 152 publications — 44th percentile

44% of scientists in this discipline score the same or lower.

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

Ben Seymour 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 Ben Seymour 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: 60 D-Index — 61st percentile

61% of scientists in this discipline score the same or lower.

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

Overview

Ben Seymour is a researcher affiliated with the University of Oxford in the United Kingdom, specializing primarily in medicine and neuroscience. Their scholarly work spans multiple subfields including cognitive neuroscience, physiology, pharmacology, cardiology and cardiovascular medicine, and neurology.

The main topics of Seymour's research encompass pain mechanisms and treatments, pain management and placebo effect, musculoskeletal pain and rehabilitation, heart rate variability and autonomic control, neural dynamics and brain function, functional brain connectivity studies, and fibromyalgia and chronic fatigue syndrome research.

Several frequent coauthors have collaborated with Seymour, including Flavia Mancini, Pranav Mahajan, Mitsuo Kawato, Takufumi Yanagisawa, and Jakub Onysk. These partnerships reflect cross-disciplinary engagement in their scientific investigations.

Seymour regularly publishes in multiple venues, with significant numbers of publications appearing in bioRxiv (Cold Spring Harbor Laboratory), eLife, Frontiers in Pain Research, Scientific Reports, and Brain. These platforms indicate a focus on accessible, open, and peer-reviewed scientific dissemination.

Notable recent papers authored or coauthored by Seymour include:

  • A multi-site, multi-disorder resting-state magnetic resonance image database, 2021, Scientific Data
  • Primary functional brain connections associated with melancholic major depressive disorder and modulation by antidepressants, 2020, Scientific Reports
  • Hierarchical models of pain: Inference, information-seeking, and adaptive control, 2020, NeuroImage
  • Multimodal physiological sensing for the assessment of acute pain, 2023, Frontiers in Pain Research
  • Pain Control by Co-adaptive Learning in a Brain-Machine Interface, 2020, Current Biology

Their research contributes to understanding complex brain functions and physiological processes related to acute and chronic pain, the mechanisms of pain modulation, and the role of brain connectivity in neurological conditions. This work situates Seymour's efforts at the intersection of neuroscience, clinical medicine, and biomedical engineering.

Best Publications

  • Empathy for Pain Involves the Affective but not Sensory Components of Pain

    Tania Singer;Ben Seymour;John O'Doherty;Holger Kaube

  • Cortical substrates for exploratory decisions in humans

    Nathaniel D. Daw;John P. O'Doherty;Peter Dayan;Ben Seymour

  • Empathic neural responses are modulated by the perceived fairness of others

    Tania Singer;Ben Seymour;John P. O'Doherty;Klaas E. Stephan

  • Frames, biases, and rational decision-making in the human brain

    Benedetto De Martino;Dharshan Kumaran;Ben Seymour;Raymond J. Dolan

  • Model-based influences on humans' choices and striatal prediction errors.

    Nathaniel D. Daw;Samuel J. Gershman;Ben Seymour;Peter Dayan

  • Dopamine-dependent prediction errors underpin reward-seeking behaviour in humans

    Mathias Pessiglione;Ben Seymour;Guillaume Flandin;Raymond J. Dolan

  • When Fear Is Near: Threat Imminence Elicits Prefrontal-Periaqueductal Gray Shifts in Humans

    Dean Mobbs;Predrag Petrovic;Jennifer L. Marchant;Demis Hassabis

  • Temporal difference models describe higher-order learning in humans

    Ben Seymour;John P. O'Doherty;Peter Dayan;Martin Koltzenburg

  • Context-Dependent Human Extinction Memory is Mediated by a Ventromedial Prefrontal and Hippocampal Network.

    Raffael Kalisch;Elian Korenfeld;Klaas Enno Stephan;Nikolaus Weiskopf

  • From Threat to Fear: The Neural Organization of Defensive Fear Systems in Humans

    Dean Mobbs;Jennifer L. Marchant;Demis Hassabis;Ben Seymour

  • Differential encoding of losses and gains in the human striatum

    Ben Seymour;Nathaniel Daw;Peter Dayan;Tania Singer

  • Opponent appetitive-aversive neural processes underlie predictive learning of pain relief.

    Ben Seymour;John P. O'Doherty;Martin Koltzenburg;Katja Wiech

  • The misbehavior of value and the discipline of the will

    Peter Dayan;Yael Niv;Ben Seymour;Nathaniel D. Daw

  • Predictive Neural Coding of Reward Preference Involves Dissociable Responses in Human Ventral Midbrain and Ventral Striatum

    John P. O'Doherty;John P. O'Doherty;Tony W. Buchanan;Ben Seymour;Raymond J. Dolan

  • Anxiety Reduction through Detachment: Subjective, Physiological, and Neural Effects

    Raffael Kalisch;Katja Wiech;Hugo D. Critchley;Ben Seymour

  • Dopamine, Time, and Impulsivity in Humans

    Alex Pine;Tamara Shiner;Ben Seymour;Raymond J. Dolan

  • The neurobiology of punishment

    Ben Seymour;Tania Singer;Raymond Dolan

  • A Key Role for Similarity in Vicarious Reward

    Dean Mobbs;Rongjun Yu;Marcel Meyer;Marcel Meyer;Luca Passamonti

  • Human Pavlovian–Instrumental Transfer

    Deborah Talmi;Ben Seymour;Peter Dayan;Raymond J. Dolan

  • Emotion, decision making, and the amygdala

    B. Seymour;Raymond J. Dolan

  • The Role of Human Orbitofrontal Cortex in Value Comparison for Incommensurable Objects

    Thomas H B FitzGerald;Ben Seymour;Raymond J Dolan

  • Dopamine and performance in a reinforcement learning task: evidence from Parkinson's disease.

    Tamara Shiner;Ben Seymour;Klaus Wunderlich;Ciaran Hill

Frequent Co-Authors

Raymond J. Dolan
Raymond J. Dolan University College London
Peter Dayan
Peter Dayan Max Planck Institute for Biological Cybernetics
Mitsuo Kawato
Mitsuo Kawato Advanced Telecommunications Research Institute International
Nathaniel D. Daw
Nathaniel D. Daw Princeton University
John P. O'Doherty
John P. O'Doherty California Institute of Technology
Chris D. Frith
Chris D. Frith University College London
Jonathan P. Roiser
Jonathan P. Roiser University College London
Noriaki Yahata
Noriaki Yahata National Institutes for Quantum and Radiological Science and Technology
Dean Mobbs
Dean Mobbs California Institute of Technology
Nick Chater
Nick Chater University of Warwick

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