World's Best Scientists 2026 revealed!
Frank Rattay

Frank Rattay

D-Index & Metrics

Neuroscience

D-Index
42
Citations
9499
World Ranking
7552
National Ranking
48

Frank Rattay 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 Frank Rattay 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: 193 publications — 60th percentile

60% of scientists in this discipline score the same or lower.

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

Frank Rattay 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 Frank Rattay 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: 42 D-Index — 22nd percentile

22% of scientists in this discipline score the same or lower.

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

Overview

Frank Rattay is affiliated with TU Wien in Austria and conducts research spanning neuroscience and engineering disciplines. Their work primarily addresses topics related to hearing, cochlear implants, and neural engineering.

The main fields of study associated with Frank Rattay include:

  • Neuroscience
  • Engineering

Within these disciplines, their research extends to several subfields, such as:

  • Cognitive Neuroscience
  • Cellular and Molecular Neuroscience
  • Sensory Systems
  • Biomedical Engineering
  • Neurology

The core research topics explored by Frank Rattay are:

  • Hearing Loss and Rehabilitation
  • Hearing, Cochlea, Tinnitus, Genetics
  • Neuroscience and Neural Engineering
  • Acoustic Wave Phenomena Research
  • Neurological disorders and treatments
  • Advanced Memory and Neural Computing
  • Face and Expression Recognition

Frank Rattay has collaborated frequently with several coauthors, including:

  • Amirreza Heshmat
  • Andreas Fellner
  • Sogand Sajedi
  • Cornelia Wenger
  • Anneliese Schrott-Fischer

Their recent publications comprise the following papers:

  • Finite element analysis and three-dimensional reconstruction of tonotopically aligned human auditory fiber pathways: A computational environment for modeling electrical stimulation by a cochlear implant based on micro-CT (2020), Hearing Research
  • Comparison of Bagging and Boosting Ensemble Machine Learning Methods for Face Recognition (2021), Procedia Computer Science
  • A finite element method framework to model extracellular neural stimulation (2022), Journal of Neural Engineering
  • Dendritic Degeneration of Human Auditory Nerve Fibers and Its Impact on the Spiking Pattern Under Regular Conditions and During Cochlear Implant Stimulation (2020), Frontiers in Neuroscience
  • Polarity Sensitivity of Human Auditory Nerve Fibers Based on Pulse Shape, Cochlear Implant Stimulation Strategy and Array (2021), Frontiers in Neuroscience

Frank Rattay's work has been published frequently in the following venues:

  • Journal of Neural Engineering
  • Frontiers in Neuroscience
  • Hearing Research
  • Procedia Computer Science
  • PLoS ONE

Best Publications

  • Analysis of Models for External Stimulation of Axons

    Frank Rattay

  • The basic mechanism for the electrical stimulation of the nervous system.

    F. Rattay

  • Analysis of models for extracellular fiber stimulation

    F. Rattay

  • Stepping-like movements in humans with complete spinal cord injury induced by epidural stimulation of the lumbar cord: electromyographic study of compound muscle action potentials

    K Minassian;B Jilge;F Rattay;M M Pinter

  • Electrical Nerve Stimulation

    Frank Rattay

  • Posterior root–muscle reflexes elicited by transcutaneous stimulation of the human lumbosacral cord

    Karen Minassian;Ilse Persy;Frank Rattay;Milan R. Dimitrijevic

  • Human lumbar cord circuitries can be activated by extrinsic tonic input to generate locomotor-like activity.

    K. Minassian;I. Persy;F. Rattay;M.M. Pinter

  • A model of the electrically excited human cochlear neuron. I. Contribution of neural substructures to the generation and propagation of spikes

    Frank Rattay;Petra Lutter;Heidi Felix

  • Modeling axon membranes for functional electrical stimulation

    F. Rattay;M. Aberham

  • Normative database of the serotonergic system in healthy subjects using multi-tracer PET

    Markus Savli;Andreas Bauer;Markus Mitterhauser;Yu-Shin Ding

  • Epidural electrical stimulation of posterior structures of the human lumbosacral cord: 2. quantitative analysis by computer modeling.

    F Rattay;K Minassian;Dimitrijevic

  • Stimulation of the Human Lumbar Spinal Cord With Implanted and Surface Electrodes: A Computer Simulation Study

    J Ladenbauer;K Minassian;U S Hofstoetter;M R Dimitrijevic

  • A model of the electrically excited human cochlear neuron. II. Influence of the three-dimensional cochlear structure on neural excitability.

    Frank Rattay;Richardson Naves Leao;Heidi Felix

  • Human spinal locomotor control is based on flexibly organized burst generators.

    Simon M. Danner;Simon M. Danner;Ursula S. Hofstoetter;Brigitta Freundl;Heinrich Binder

  • Can the human lumbar posterior columns be stimulated by transcutaneous spinal cord stimulation? A modeling study.

    Simon M. Danner;Ursula S. Hofstoetter;Ursula S. Hofstoetter;Josef Ladenbauer;Frank Rattay

  • Ways to approximate current-distance relations for electrically stimulated fibers

    Frank Rattay

  • Analysis of the electrical excitation of CNS neurons

    F. Rattay

  • Initiating extension of the lower limbs in subjects with complete spinal cord injury by epidural lumbar cord stimulation

    B. Jilge;K. Minassian;F. Rattay;M. M. Pinter

  • Electrical Nerve Stimulation: Theory, Experiments and Applications

    Frank Rattay

  • Closed-Loop Control of Grasping With a Myoelectric Hand Prosthesis: Which Are the Relevant Feedback Variables for Force Control?

    Andrei Ninu;Strahinja Dosen;Silvia Muceli;Frank Rattay

  • Mechanisms of Electrical Stimulation with Neural Prostheses

    F. Rattay;S. Resatz;P. Lutter;K. Minassian

  • The handbook of brain theory and neural networks

    Unknown

Frequent Co-Authors

Dieter Haemmerich
Dieter Haemmerich Medical University of South Carolina
Martin Kronbichler
Martin Kronbichler University of Salzburg
Stefan Golaszewski
Stefan Golaszewski Paracelsus Medical University
Bradford J. Wood
Bradford J. Wood National Institutes of Health
Masayuki Murata
Masayuki Murata Osaka University
Strahinja Dosen
Strahinja Dosen Aalborg University
Dario Farina
Dario Farina Imperial College London
Andreas Hahn
Andreas Hahn University of Giessen
Eugen Trinka
Eugen Trinka Paracelsus Medical University
Siegfried Kasper
Siegfried Kasper Medical University of Vienna

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