World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
44
Citations
10330
World Ranking
7076
National Ranking
592

Tonio Ball 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 Tonio Ball 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: 151 publications — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Tonio Ball 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 Tonio Ball 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: 44 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Overview

Tonio Ball is affiliated with the University of Freiburg in Germany. Their research predominantly spans the fields of Neuroscience and Medicine, with significant contributions in Cognitive Neuroscience, Artificial Intelligence, Neurology, Electrical and Electronic Engineering, and Biomedical Engineering.

The scientist's work focuses on topics including EEG and Brain-Computer Interfaces, Neural dynamics and brain function, Functional Brain Connectivity Studies, Advanced Memory and Neural Computing, Machine Learning in Healthcare, Phonocardiography and Auscultation Techniques, and Neuroscience and Neural Engineering.

Tonio Ball has published in several venues. The most frequent publication venues include:

  • arXiv (Cornell University)
  • NeuroImage
  • Frontiers in Neuroscience
  • Imaging Neuroscience
  • bioRxiv (Cold Spring Harbor Laboratory)

Some recent papers authored or co-authored by Tonio Ball are:

  • Machine-learning-based diagnostics of EEG pathology, 2020, NeuroImage
  • A reusable benchmark of brain-age prediction from M/EEG resting-state signals, 2022, NeuroImage
  • Understanding Anomaly Detection with Deep Invertible Networks through Hierarchies of Distributions and Features, 2020, arXiv (Cornell University)
  • Towards a Governance Framework for Brain Data, 2022, Neuroethics
  • A Structured Approach to Test the Signal Quality of Electroencephalography Measurements During Use of Head-Mounted Displays for Virtual Reality Applications, 2021, Frontiers in Neuroscience

They have collaborated frequently with several co-authors, including:

  • Robin Tibor Schirrmeister
  • Lukas Gemein
  • Joschka Boedecker
  • Andreas Schulze-Bonhage
  • Ann-Kathrin Kiessner

Tonio Ball's research engages deeply with the intersection of advanced neurotechnology and artificial intelligence. Their contributions to EEG and brain-computer interface studies are especially prominent, as reflected in a substantial number of publications in this area.

The scientist's work also explores neural dynamics and brain function, emphasizing functional brain connectivity and the use of machine learning methods in healthcare. This multidisciplinary approach incorporates techniques from Electrical and Electronic Engineering and Biomedical Engineering, evidencing a broad technical competence aligned with medical and neuroscientific challenges.

Best Publications

  • Deep learning with convolutional neural networks for EEG decoding and visualization.

    Robin Tibor Schirrmeister;Jost Tobias Springenberg;Lukas Dominique Josef Fiederer;Martin Glasstetter

  • Signal quality of simultaneously recorded invasive and non-invasive EEG.

    Tonio Ball;Markus Kern;Isabella Mutschler;Ad Aertsen

  • The role of higher-order motor areas in voluntary movement as revealed by high-resolution EEG and fMRI.

    Tonio Ball;Axel Schreiber;Bernd Feige;Michael Wagner

  • Prediction of arm movement trajectories from ECoG-recordings in humans

    Tobias Pistohl;Tonio Ball;Andreas Schulze-Bonhage;Ad Aertsen

  • Movement related activity in the high gamma range of the human EEG

    Tonio Ball;Evariste Demandt;Isabella Mutschler;Isabella Mutschler;Eva Neitzel

  • Decoding natural grasp types from human ECoG

    Tobias Pistohl;Andreas Schulze-Bonhage;Ad Aertsen;Carsten Mehring

  • Functional organization of the human anterior insular cortex

    Isabella Mutschler;Birgit Wieckhorst;Sandra Kowalevski;Johanna Derix

  • A review on directional information in neural signals for brain-machine interfaces.

    Stephan Waldert;Tobias Pistohl;Christoph Braun;Christoph Braun;Tonio Ball

  • Response properties of human amygdala subregions: evidence based on functional MRI combined with probabilistic anatomical maps.

    Tonio Ball;Benjamin Rahm;Benjamin Rahm;Simon B. Eickhoff;Andreas Schulze-Bonhage

  • Machine-learning-based diagnostics of EEG pathology

    Lukas A.W. Gemein;Robin T. Schirrmeister;Patryk Chrabąszcz;Daniel Wilson

  • Heart cycle-related effects on event-related potentials, spectral power changes, and connectivity patterns in the human ECoG.

    Markus Kern;Ad Aertsen;Andreas Schulze-Bonhage;Tonio Ball;Tonio Ball

  • Deep learning with convolutional neural networks for decoding and visualization of EEG pathology

    R. Schirrmeister;L. Gemein;K. Eggensperger;F. Hutter

  • Differential representation of arm movement direction in relation to cortical anatomy and function.

    Tonio Ball;Andreas Schulze-Bonhage;Ad Aertsen;Carsten Mehring

  • EEG-GAN: Generative adversarial networks for electroencephalograhic (EEG) brain signals

    Kay Gregor Hartmann;Robin Tibor Schirrmeister;Tonio Ball

  • Comparing information about arm movement direction in single channels of local and epicortical field potentials from monkey and human motor cortex

    Carsten Mehring;Martin Paul Nawrot;Simone Cardoso de Oliveira;Eilon Vaadia

  • A rapid sound-action association effect in human insular cortex.

    Isabella Mutschler;Andreas Schulze-Bonhage;Volkmar Glauche;Evariste Demandt

  • Anatomical specificity of functional amygdala imaging of responses to stimuli with positive and negative emotional valence

    Tonio Ball;Johanna Derix;Johanna Wentlandt;Birgit Wieckhorst

  • Traveling waves and trial averaging: the nature of single-trial and averaged brain responses in large-scale cortical signals.

    David Alexander;Peter Jurica;Chris Trengove;Andrey Andrey R. Nikolaev

  • Pain and emotion in the insular cortex: evidence for functional reorganization in major depression

    Isabella Mutschler;Tonio Ball;Tonio Ball;Johanna Wankerl;Irina A. Strigo;Irina A. Strigo

  • Causal interpretation rules for encoding and decoding models in neuroimaging

    Sebastian Weichwald;Timm Meyer;Ozan Özdenizci;Bernhard Schölkopf

Frequent Co-Authors

Andreas Schulze-Bonhage
Andreas Schulze-Bonhage University of Freiburg
Ad Aertsen
Ad Aertsen University of Freiburg
Wolfram Burgard
Wolfram Burgard University of Technology Nuremberg
Thomas Stieglitz
Thomas Stieglitz University of Freiburg
Frank Hutter
Frank Hutter University of Freiburg
Dana H. Brooks
Dana H. Brooks Northeastern University
Jürgen Hennig
Jürgen Hennig University of Freiburg
Erich Seifritz
Erich Seifritz University of Zurich
Pavel Krsek
Pavel Krsek Czech Technical University in Prague
Markus Raab
Markus Raab German Sport University Cologne

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