World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
33
Citations
12157
World Ranking
9388
National Ranking
787

Markus Siegel 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 Markus Siegel 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: 68 publications — 3rd percentile

3% of scientists in this discipline score the same or lower.

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

Markus Siegel 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 Markus Siegel 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: 33 D-Index — 2nd percentile

2% of scientists in this discipline score the same or lower.

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

Overview

Markus Siegel is affiliated with the University of Tübingen in Germany. Their research spans the field of Neuroscience, with a particular focus on Cognitive Neuroscience, which accounts for the majority of their work. Additional areas of expertise include Atomic and Molecular Physics, and Optics, Biomedical Engineering, Cellular and Molecular Neuroscience, and Electrical and Electronic Engineering.

The scientist's research topics cover a range of subjects centered on brain function and neural activity. Key topics addressed in their publications include:

  • Neural dynamics and brain function
  • Atomic and Subatomic Physics Research
  • Functional Brain Connectivity Studies
  • EEG and Brain-Computer Interfaces
  • Neural and Behavioral Psychology Studies
  • Action Observation and Synchronization
  • Muscle activation and electromyography studies

Markus Siegel has contributed extensively to scientific literature, with frequent publications in several venues. The most common journals and platforms where their work appears are:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • NeuroImage
  • Scientific Reports
  • Journal of Neural Engineering
  • Nature Communications

Among recent publications, notable papers include:

  • Dissociated neuronal phase- and amplitude-coupling patterns in the human brain, 2020, NeuroImage
  • Task-evoked activity quenches neural correlations and variability across cortical areas, 2020, PLoS Computational Biology
  • Dissociating harmonic and non-harmonic phase-amplitude coupling in the human brain, 2020, NeuroImage
  • Optically pumped magnetometers reveal fasciculations non-invasively, 2021, Clinical Neurophysiology
  • Cortical correlation structure of aperiodic neuronal population activity, 2021, NeuroImage

Collaboration is a significant aspect of their academic output. Frequent co-authors include:

  • Justus Marquetand
  • Christoph Braun
  • Nima Noury
  • Antonino Greco
  • Earl K. Miller

Best Publications

  • Spectral fingerprints of large-scale neuronal interactions

    Markus Siegel;Tobias H. Donner;Andreas K. Engel

  • Trial-by-Trial Coupling of Concurrent Electroencephalogram and Functional Magnetic Resonance Imaging Identifies the Dynamics of Performance Monitoring

    Stefan Debener;Markus Ullsperger;Markus Siegel;Katja Fiehler

  • Large-scale cortical correlation structure of spontaneous oscillatory activity.

    Joerg F Hipp;David J Hawellek;Maurizio Corbetta;Markus Siegel

  • Oscillatory Synchronization in Large-Scale Cortical Networks Predicts Perception

    Joerg F. Hipp;Andreas K. Engel;Markus Siegel;Markus Siegel;Markus Siegel

  • Phase-dependent neuronal coding of objects in short-term memory

    Markus Siegel;Melissa R. Warden;Earl K. Miller

  • Neuronal Synchronization along the Dorsal Visual Pathway Reflects the Focus of Spatial Attention

    Markus Siegel;Markus Siegel;Markus Siegel;Tobias H. Donner;Tobias H. Donner;Tobias H. Donner;Robert Oostenveld;Pascal Fries

  • Buildup of Choice-Predictive Activity in Human Motor Cortex during Perceptual Decision Making

    Tobias H. Donner;Tobias H. Donner;Tobias H. Donner;Markus Siegel;Markus Siegel;Markus Siegel;Pascal Fries;Andreas K. Engel

  • Cortical information flow during flexible sensorimotor decisions

    Markus Siegel;Markus Siegel;Timothy J. Buschman;Earl K. Miller

  • A framework for local cortical oscillation patterns

    Tobias H. Donner;Markus Siegel;Markus Siegel

  • Single-trial EEG–fMRI reveals the dynamics of cognitive function

    Stefan Debener;Markus Ullsperger;Markus Siegel;Andreas K. Engel

  • Investigating large-scale brain dynamics using field potential recordings: analysis and interpretation

    Bijan Pesaran;Bijan Pesaran;Martin Vinck;Gaute T. Einevoll;Gaute T. Einevoll;Anton Sirota

  • Neural substrates of cognitive capacity limitations

    Timothy J. Buschman;Markus Siegel;Markus Siegel;Jefferson E. Roy;Earl K. Miller

  • Dissociating neuronal gamma-band activity from cranial and ocular muscle activity in EEG.

    Joerg F. Hipp;Markus Siegel

  • Cortical network dynamics of perceptual decision-making in the human brain.

    Markus Siegel;Markus Siegel;Andreas K. Engel;Tobias H. Donner

  • Cortical Hypersynchrony Predicts Breakdown of Sensory Processing during Loss of Consciousness

    Gernot G. Supp;Markus Siegel;Markus Siegel;Joerg F. Hipp;Joerg F. Hipp;Andreas K. Engel

  • A Functional Gamma-Band Defined by Stimulus-Dependent Synchronization in Area 18 of Awake Behaving Cats

    Markus Siegel;Peter König

  • Physiological processes non-linearly affect electrophysiological recordings during transcranial electric stimulation.

    Nima Noury;Joerg F. Hipp;Markus Siegel

  • Population activity in the human dorsal pathway predicts the accuracy of visual motion detection.

    Tobias Hinrich Donner;Markus Siegel;Robert Oostenveld;Pascal Fries

  • BOLD fMRI Correlation Reflects Frequency-Specific Neuronal Correlation.

    Joerg F. Hipp;Markus Siegel

  • High-frequency activity in human visual cortex is modulated by visual motion strength

    Markus Siegel;Markus Siegel;Tobias H. Donner;Tobias H. Donner;Robert Oostenveld;Robert Oostenveld;Pascal Fries;Pascal Fries

Frequent Co-Authors

Andreas K. Engel
Andreas K. Engel Universität Hamburg
Tobias H. Donner
Tobias H. Donner Universität Hamburg
Pascal Fries
Pascal Fries Ernst Strüngmann Institute for Neuroscience
Robert Oostenveld
Robert Oostenveld Radboud University
Stefan Debener
Stefan Debener Carl von Ossietzky University of Oldenburg
Alexander Münchau
Alexander Münchau University of Lübeck
Markus Ullsperger
Markus Ullsperger Otto-von-Guericke University Magdeburg
Michael Cole
Michael Cole University of East London
Kai Vogeley
Kai Vogeley University of Cologne

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