World's Best Scientists 2026 revealed!
Richard H. R. Hahnloser

Richard H. R. Hahnloser

D-Index & Metrics

Neuroscience

D-Index
32
Citations
6730
World Ranking
9493
National Ranking
212

Richard H. R. Hahnloser 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 H. R. Hahnloser 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: 82 publications — 8th percentile

8% of scientists in this discipline score the same or lower.

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

Richard H. R. Hahnloser 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 H. R. Hahnloser 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: 32 D-Index — 1st percentile

1% of scientists in this discipline score the same or lower.

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

Overview

Richard H. R. Hahnloser is a researcher affiliated with the University of Zurich in Switzerland. Their work spans multiple fields, primarily focusing on computer science and biochemistry, genetics, and molecular biology.

Their research covers several subfields, including artificial intelligence, developmental biology, ecology, evolution, behavior, systematics, ecology, and signal processing. The main topics explored in their publications include animal vocal communication and behavior, animal behavior and reproduction, marine animal studies overview, topic modeling, natural language processing techniques, advanced text analysis techniques, and music and audio processing.

Frequent coauthors in their research collaborations include:

  • Anja T. Zai
  • Nicolas Giret
  • Nianlong Gu
  • Tomas Tomka
  • Jörg Rychen

The most common venues for publishing their work include bioRxiv (Cold Spring Harbor Laboratory), arXiv (Cornell University), Zenodo (CERN European Organization for Nuclear Research), PLoS ONE, and the Zurich Open Repository and Archive (University of Zurich).

Representative recent publications by Richard H. R. Hahnloser include:

  • Nearest neighbours reveal fast and slow components of motor learning, 2020, Nature
  • Fast Retrograde Access to Projection Neuron Circuits Underlying Vocal Learning in Songbirds, 2020, Cell Reports
  • MemSum: Extractive Summarization of Long Documents Using Multi-Step Episodic Markov Decision Processes, 2022, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • Sensory substitution reveals a manipulation bias, 2020, Nature Communications
  • Undirected singing rate as a non-invasive tool for welfare monitoring in isolated male zebra finches, 2020, PLoS ONE

Best Publications

  • Digital selection and analogue amplification coexist in a cortex-inspired silicon circuit

    R. H R Hahnloser;R. Sarpeshkar;R. Sarpeshkar;M. A. Mahowald;R. J. Douglas

  • An ultra-sparse code underlies the generation of neural sequences in a songbird.

    Richard H. R. Hahnloser;Alexay A. Kozhevnikov;Michale S. Fee

  • Spike-Time-Dependent Plasticity and Heterosynaptic Competition Organize Networks to Produce Long Scale-Free Sequences of Neural Activity

    Ila R. Fiete;Walter Senn;Claude Z.H. Wang;Richard H.R. Hahnloser

  • Neural mechanisms of vocal sequence generation in the songbird.

    Michale S. Fee;Alexay A. Kozhevnikov;Richard H.R. Hahnloser

  • Neural processing of auditory feedback during vocal practice in a songbird

    Georg B. Keller;Richard H. R. Hahnloser

  • Permitted and Forbidden Sets in Symmetric Threshold-Linear Networks

    Richard H. R. Hahnloser;H. Sebastian Seung

  • Deep sleep maintains learning efficiency of the human brain

    Sara Fattinger;Sara Fattinger;Toon T. de Beukelaar;Kathy L. Ruddy;Carina Volk;Carina Volk

  • Double-ring network model of the head-direction system.

    Xiaohui Xie;Richard H. R. Hahnloser;H. Sebastian Seung

  • On the piecewise analysis of networks of linear threshold neurons

    Unknown

  • Rhythmic Continuous-Time Coding in the Songbird Analog of Vocal Motor Cortex

    Galen F. Lynch;Tatsuo S. Okubo;Alexander Hanuschkin;Richard H.R. Hahnloser

  • Temporal sparseness of the premotor drive is important for rapid learning in a neural network model of birdsong

    Ila R. Fiete;Richard H.R. Hahnloser;Michale S. Fee;H. Sebastian Seung;H. Sebastian Seung

  • Rapid interhemispheric switching during vocal production in a songbird.

    Claude Z. H Wang;Joshua A Herbst;Georg B Keller;Richard H. R Hahnloser

  • Sleep-related neural activity in a premotor and a basal-ganglia pathway of the songbird.

    Richard H. R. Hahnloser;Alexay A. Kozhevnikov;Michale S. Fee

  • Reconstruction of vocal interactions in a group of small songbirds

    Victor N Anisimov;Joshua A Herbst;Andrei N Abramchuk;Alexander V Latanov

  • Selectively grouping neurons in recurrent networks of lateral inhibition

    Xiaohui Xie;Richard H. R. Hahnloser;H. Sebastin Seung

  • Nearest neighbours reveal fast and slow components of motor learning

    Sepp Kollmorgen;Richard H. R. Hahnloser;Valerio Mante

  • Feedback interactions between neuronal pointers and maps for attentional processing

    Richard Hahnloser;Richard Hahnloser;Rodney J. Douglas;Misha Mahowald;Klaus Hepp

  • Timing of ossification in duck, quail, and zebra finch: intraspecific variation, heterochronies, and life history evolution.

    Christian Mitgutsch;Corinne Wimmer;Marcelo R. Sánchez-Villagra;Richard Hahnloser

  • Auditory representations and memory in birdsong learning.

    Richard H R Hahnloser;Andreas Kotowicz

  • Projection Neuron Circuits Resolved Using Correlative Array Tomography

    Daniele Oberti;Moritz A. Kirschmann;Richard H. R. Hahnloser

  • Spike sorting with hidden Markov models

    Joshua A. Herbst;Stephan Gammeter;David Ferrero;Richard H.R. Hahnloser

Frequent Co-Authors

H. Sebastian Seung
H. Sebastian Seung Princeton University
Surya Ganguli
Surya Ganguli Stanford University
Xiaohui Xie
Xiaohui Xie University of California, Irvine
Manfred Gahr
Manfred Gahr Max Planck Society
Shih-Chii Liu
Shih-Chii Liu University of Zurich
Rahul Sarpeshkar
Rahul Sarpeshkar Dartmouth College

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For students interested in Neuroscience, there are many flexible educational options. Pursuing an accelerated bachelor's degree online can allow you to complete your studies faster and enter the workforce sooner. These programs are designed for motivated learners who value efficiency and flexibility.

If you’re considering future earnings, it's helpful to explore fields that offer the highest paying bachelor degrees. Many neuroscience-related careers, such as those in healthcare and technology, are among the most profitable majors. This ensures your education investment can lead to rewarding job opportunities.

Cost is another important factor. Numerous degree programs are available through online college courses with financial aid, helping to make higher education more accessible and affordable. Exploring these pathways can help you find a program that aligns with your academic goals and financial situation.

Best Scientists Citing Richard H. R. Hahnloser

Trending Scientists

Recently Published Articles