World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
38
Citations
14303
World Ranking
8419
National Ranking
620

Kevin Gurney 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 Kevin Gurney 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: 158 publications — 46th percentile

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

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

Kevin Gurney 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 Kevin Gurney 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: 38 D-Index — 12th percentile

12% of scientists in this discipline score the same or lower.

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

Overview

Kevin Gurney is affiliated with the University of Sheffield in the United Kingdom and specializes in neuroscience, with a focus on neural dynamics and brain function. Their research encompasses a range of subfields including cellular and molecular neuroscience, cognitive neuroscience, molecular biology, neurology, and computer vision and pattern recognition.

Their work extensively addresses topics such as neural dynamics and brain function, neuroscience and neuropharmacology research, receptor mechanisms and signaling, neurotransmitter receptor influence on behavior, neurological disorders and treatments, neurobiology and insect physiology research, and functional brain connectivity studies.

Kevin Gurney has published research in several scientific venues, including:

  • Repository@Nottingham (University of Nottingham)
  • Reviews in the Neurosciences
  • IEEE Access
  • Journal of Psychopharmacology
  • Neural Computation

Recent papers associated with Kevin Gurney include:

  • Agent Architecture for Adaptive Behaviors in Autonomous Driving, 2020, IEEE Access
  • Making decisions in the dark basement of the brain: A look back at the GPR model of action selection and the basal ganglia, 2021, Repository@Nottingham (University of Nottingham)
  • Role of the basal ganglia in innate and learned behavioural sequences, 2023, Reviews in the Neurosciences
  • The NK1 antagonist L-733,060 facilitates sequence learning, 2023, Journal of Psychopharmacology
  • Differential Dopamine Receptor-Dependent Sensitivity Improves the Switch Between Hard and Soft Selection in a Model of the Basal Ganglia, 2022, Neural Computation

Frequent collaborators include Mark D. Humphries, Natalia Favila, Paul G. Overton, Olivier Codol, and Paul L. Gribble. These collaborators have coauthored multiple publications with Gurney, reflecting ongoing research partnerships in their areas of study.

Best Publications

  • An introduction to neural networks

    Kevin Gurney

  • Network 'small-world-ness': a quantitative method for determining canonical network equivalence.

    Mark D. Humphries;Kevin Gurney

  • The basal ganglia: a vertebrate solution to the selection problem?

    P. Redgrave;T.J. Prescott;K. Gurney

  • The short-latency dopamine signal: a role in discovering novel actions?

    Peter Redgrave;Kevin Gurney

  • A computational model of action selection in the basal ganglia. I. A new functional anatomy.

    Kevin N. Gurney;Tony J. Prescott;Peter Redgrave

  • The brainstem reticular formation is a small-world, not scale-free, network

    M.D Humphries;K Gurney;T.J Prescott

  • Is the short-latency dopamine response too short to signal reward error?

    Peter Redgrave;Tony J. Prescott;Kevin Gurney

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

    Rafal Bogacz;Kevin Gurney

  • A physiologically plausible model of action selection and oscillatory activity in the basal ganglia.

    Mark D. Humphries;Robert D. Stewart;Kevin N. Gurney

  • A computational model of action selection in the basal ganglia. II. Analysis and simulation of behaviour.

    Kevin N. Gurney;Tony J. Prescott;Peter Redgrave

  • What is reinforced by phasic dopamine signals

    Peter Redgrave;Kevin Gurney;John Reynolds

  • Layered control architectures in robots and vertebrates

    Tony J. Prescott;Peter Redgrave;Kevin Gurney

  • A robot model of the basal ganglia: Behavior and intrinsic processing

    Tony J. Prescott;Fernando M. Montes González;Kevin Gurney;Mark D. Humphries

  • Computational models of the basal ganglia: from robots to membranes.

    Kevin Gurney;Tony J. Prescott;Jeffery R. Wickens;Peter Redgrave

  • Dopaminergic Control of the Exploration-Exploitation Trade-Off via the Basal Ganglia.

    Mark D Humphries;Mark D Humphries;Mehdi Khamassi;Mehdi Khamassi;Kevin Gurney

  • The nucleus accumbens as a nexus between values and goals in goal-directed behavior: a review and a new hypothesis.

    Francesco Mannella;Kevin Gurney;Gianluca Baldassarre

  • 2009 Special Issue: Dopamine-modulated dynamic cell assemblies generated by the GABAergic striatal microcircuit

    Mark D. Humphries;Ric Wood;Kevin Gurney

  • Implementing Spiking Neural Networks for Real-Time Signal-Processing and Control Applications: A Model-Validated FPGA Approach

    M.J. Pearson;A.G. Pipe;B. Mitchinson;K. Gurney

  • A New Framework for Cortico-Striatal Plasticity: Behavioural Theory Meets In Vitro Data at the Reinforcement-Action Interface

    Kevin N. Gurney;Mark D. Humphries;Peter Redgrave

  • The role of intra-thalamic and thalamocortical circuits in action selection.

    M.D. Humphries;K.N. Gurney

Frequent Co-Authors

Tony J. Prescott
Tony J. Prescott University of Sheffield
Peter Redgrave
Peter Redgrave University of Sheffield
Amir Hussain
Amir Hussain Edinburgh Napier University
Chris Melhuish
Chris Melhuish University of the West of England
Anthony G. Pipe
Anthony G. Pipe University of the West of England
Paul G. Overton
Paul G. Overton University of Sheffield
Gianluca Baldassarre
Gianluca Baldassarre National Academies of Sciences, Engineering, and Medicine
Rafal Bogacz
Rafal Bogacz University of Oxford
Sten Grillner
Sten Grillner Karolinska Institute

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