World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
39
Citations
7469
World Ranking
8269
National Ranking
699

Richard Kempter 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 Richard Kempter 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: 102 publications — 18th percentile

18% of scientists in this discipline score the same or lower.

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

Richard Kempter 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 Richard Kempter 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: 39 D-Index — 15th percentile

15% of scientists in this discipline score the same or lower.

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

Overview

Richard Kempter is affiliated with Humboldt-Universität zu Berlin in Germany. Their research work primarily spans the field of Neuroscience with a particular focus on subfields such as Cognitive Neuroscience, Cellular and Molecular Neuroscience, Sensory Systems, Developmental and Educational Psychology, and Computer Vision and Pattern Recognition.

The main topics covered in Kempter's research include:

  • Neural dynamics and brain function
  • Neuroscience and Neuropharmacology Research
  • Memory and Neural Mechanisms
  • Photoreceptor and optogenetics research
  • Neurobiology and Insect Physiology Research
  • Hearing, Cochlea, Tinnitus, Genetics
  • Hearing Loss and Rehabilitation

Their publication record includes recent papers such as:

  • "Microcircuits for spatial coding in the medial entorhinal cortex" (2021), published in Physiological Reviews
  • "A neural code for egocentric spatial maps in the human medial temporal lobe" (2021), published in Neuron
  • "Generation of Sharp Wave-Ripple Events by Disinhibition" (2020), published in Journal of Neuroscience
  • "A neural code for egocentric spatial maps in the human medial temporal lobe" (2020), published in bioRxiv (Cold Spring Harbor Laboratory)
  • "Synaptic learning rules for sequence learning" (2021), published in eLife

Frequent coauthors in Kempter's works include:

  • Dietmar Schmitz
  • Eric T. Reifenstein
  • Gaspar Cano
  • Nikolaus Maier
  • Paula T. Kuokkanen

Common publication venues where Kempter has contributed include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • eLife
  • Journal of Neuroscience
  • PLoS Computational Biology
  • Physiological Reviews

Best Publications

  • A neuronal learning rule for sub-millisecond temporal coding

    Wulfram Gerstner;Wulfram Gerstner;Richard Kempter;J. Leo van Hemmen;Hermann Wagner;Hermann Wagner

  • Hebbian learning and spiking neurons

    Richard Kempter;Wulfram Gerstner;J. Leo van Hemmen

  • Cross-Frequency Phase–Phase Coupling between Theta and Gamma Oscillations in the Hippocampus

    Mariano A. Belluscio;Kenji Mizuseki;Robert Schmidt;Richard Kempter

  • Development of tinnitus-related neuronal hyperactivity through homeostatic plasticity after hearing loss: a computational model.

    Roland Schaette;Richard Kempter;Richard Kempter

  • Course of hearing loss and occurrence of tinnitus

    Ovidiu König;Roland Schaette;Richard Kempter;Richard Kempter;Manfred Gross

  • Intrinsic Stabilization of Output Rates by Spike-Based Hebbian Learning

    Richard Kempter;Wulfram Gerstner;J. Leo Van Hemmen

  • Quantifying circular-linear associations: hippocampal phase precession.

    Richard Kempter;Christian Leibold;György Buzsáki;Kamran Diba

  • Acoustic stimulation treatments against tinnitus could be most effective when tinnitus pitch is within the stimulated frequency range.

    Roland Schaette;Roland Schaette;Ovidiu König;Dirk Hornig;Manfred Gross

  • Single-Trial Phase Precession in the Hippocampus

    Robert C. Schmidt;Kamran Diba;Christian Leibold;Dietmar Schmitz

  • Coherent Phasic Excitation during Hippocampal Ripples

    Nikolaus Maier;Álvaro Tejero-Cantero;Anja L. Dorrn;Jochen Winterer

  • Extracting Oscillations: Neuronal Coincidence Detection with Noisy Periodic Spike Input

    Richard Kempter;Wulfram Gerstner;J. Leo Van Hemmen;Hermann Wagner

  • State-dependencies of learning across brain scales

    Petra Ritter;Jan Born;Michael Brecht;Hubert R. Dinse

  • Predicting Tinnitus Pitch From Patients' Audiograms With a Computational Model for the Development of Neuronal Hyperactivity

    Roland Schaette;Richard Kempter

  • Ecology and neurobiology of toxin avoidance and the paradox of drug reward.

    Edward H. Hagen;Roger J. Sullivan;Roger J. Sullivan;Robert Schmidt;Genela Morris

  • Memory replay in balanced recurrent networks.

    Nikolay Chenkov;Henning Sprekeler;Richard Kempter

  • Computational models of neurophysiological correlates of tinnitus.

    Roland Schaette;Richard Kempter

  • A neural code for egocentric spatial maps in the human medial temporal lobe

    Lukas Kunz;Armin Brandt;Peter C. Reinacher;Bernhard P. Staresina

  • Grid cells in rat entorhinal cortex encode physical space with independent firing fields and phase precession at the single-trial level

    Eric T. Reifenstein;Richard Kempter;Susanne Schreiber;Martin B. Stemmler

  • Microcircuits for spatial coding in the medial entorhinal cortex

    John J Tukker;Prateep Beed;Michael Brecht;Richard Kempter

  • Formation of temporal-feature maps by axonal propagation of synaptic learning.

    Richard Kempter;Christian Leibold;Hermann Wagner;J. Leo van Hemmen

  • Excitatory microcircuits within superficial layers of the medial entorhinal cortex

    Jochen Winterer;Nikolaus Maier;Christian Wozny;Christian Wozny;Prateep Beed

  • Memory Capacity for Sequences in a Recurrent Network with Biological Constraints

    Christian Leibold;Richard Kempter

  • Hebbian learning of pulse timing in the Barn Owl auditory system

    Wulfram Gerstner;Richard Kempter;J. Leo van Hemmen;Hermann Wagner

Frequent Co-Authors

Catherine E. Carr
Catherine E. Carr University of Maryland, College Park
Dietmar Schmitz
Dietmar Schmitz Charité - University Medicine Berlin
J. Leo van Hemmen
J. Leo van Hemmen Technical University of Munich
Wulfram Gerstner
Wulfram Gerstner École Polytechnique Fédérale de Lausanne
György Buzsáki
György Buzsáki New York University
Alain Destexhe
Alain Destexhe Centre national de la recherche scientifique, CNRS
Arno Villringer
Arno Villringer Max Planck Institute for Human Cognitive and Brain Sciences
Armin Brandt
Armin Brandt University of Freiburg
Bernhard P. Staresina
Bernhard P. Staresina University of Birmingham
Michael J. Kahana
Michael J. Kahana University of Pennsylvania

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