World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
45
Citations
8092
World Ranking
6911
National Ranking
582

Petra Ritter 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 Petra Ritter 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: 174 publications — 53rd percentile

53% of scientists in this discipline score the same or lower.

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

Petra Ritter 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 Petra Ritter 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: 45 D-Index — 29th percentile

29% of scientists in this discipline score the same or lower.

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

Overview

Petra Ritter is affiliated with Charité - University Medicine Berlin in Germany. Their research spans several domains primarily within neuroscience and medicine, focusing significantly on cognitive neuroscience and advanced neuroimaging techniques.

The main fields of study that characterize their work are:

  • Neuroscience
  • Medicine

Within these fields, their work is further specialized across several subfields including:

  • Cognitive Neuroscience
  • Radiology, Nuclear Medicine and Imaging
  • Neurology
  • Molecular Biology
  • Cellular and Molecular Neuroscience

Petra Ritter's research covers a range of specific topics such as:

  • Functional Brain Connectivity Studies
  • Neural dynamics and brain function
  • Advanced Neuroimaging Techniques and Applications
  • Advanced MRI Techniques and Applications
  • EEG and Brain-Computer Interfaces
  • Neurological disorders and treatments
  • Alzheimer's disease research and treatments

Recent publications by Petra Ritter include the following papers:

  • "Measures of resting state EEG rhythms for clinical trials in Alzheimer's disease: Recommendations of an expert panel" (2021, Alzheimer s & Dementia)
  • "Dynamic Functional Connectivity between order and randomness and its evolution across the human adult lifespan" (2020, NeuroImage)
  • "Brain simulation as a cloud service: The Virtual Brain on EBRAINS" (2022, NeuroImage)
  • "Modeling brain dynamics after tumor resection using The Virtual Brain" (2020, NeuroImage)
  • "Deep brain stimulation of symptom-specific networks in Parkinson's disease" (2024, Nature Communications)

Petra Ritter has collaborated extensively with a range of coauthors, including:

  • Michael Schirner
  • Leon Stefanovski
  • Viktor Jirsa
  • Paul Triebkorn
  • Anthony R. McIntosh

Their publications appear frequently in several venues notable for neuroscience and medical imaging research, such as:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Nature Communications
  • NeuroImage
  • eNeuro
  • Alzheimer s & Dementia

Best Publications

  • Correlates of alpha rhythm in functional magnetic resonance imaging and near infrared spectroscopy.

    Matthias Moosmann;Petra Ritter;Ina Krastel;Andrea Brink

  • The dynamics of resting fluctuations in the brain: metastability and its dynamical cortical core

    Gustavo Deco;Morten L. Kringelbach;Morten L. Kringelbach;Viktor K. Jirsa;Petra Ritter

  • Rolandic alpha and beta EEG rhythms' strengths are inversely related to fMRI-BOLD signal in primary somatosensory and motor cortex

    Petra Ritter;Matthias Moosmann;Arno Villringer;Arno Villringer

  • Simultaneous EEG-fMRI.

    Petra Ritter;Arno Villringer

  • Biophysical Mechanisms of Multistability in Resting-State Cortical Rhythms

    Frank Freyer;James A. Roberts;Robert Becker;Peter A. Robinson

  • The Virtual Brain Integrates Computational Modeling and Multimodal Neuroimaging

    Petra Ritter;Michael Schirner;Anthony Randal McIntosh;Viktor K. Jirsa

  • A Canonical Model of Multistability and Scale-Invariance in Biological Systems

    Frank Freyer;James A. Roberts;Petra Ritter;Michael Breakspear;Michael Breakspear

  • Dynamic functional connectivity reveals altered variability in functional connectivity among patients with major depressive disorder

    Murat Demirtaş;Cristian Tornador;Carles Falcón;Marina López‐Solà

  • Inferring multi-scale neural mechanisms with brain network modelling

    Michael Schirner;Anthony Randal McIntosh;Viktor K. Jirsa;Gustavo Deco

  • Bistability and Non-Gaussian Fluctuations in Spontaneous Cortical Activity

    Frank Freyer;Kevin Aquino;Kevin Aquino;Peter A. Robinson;Petra Ritter

  • Estimation of Directed Effective Connectivity from fMRI Functional Connectivity Hints at Asymmetries of Cortical Connectome.

    Matthieu Gilson;Ruben Moreno-Bote;Adrián Ponce-Alvarez;Petra Ritter

  • Measures of resting state EEG rhythms for clinical trials in Alzheimer's disease: Recommendations of an expert panel

    Claudio Babiloni;Xianghong Arakaki;Hamed Azami;Karim Bennys

  • An automated pipeline for constructing personalized virtual brains from multimodal neuroimaging data.

    Michael Schirner;Simon Rothmeier;Viktor K. Jirsa;Anthony Randal McIntosh

  • The Rediscovery of Slowness: Exploring the Timing of Cognition

    Morten L. Kringelbach;Morten L. Kringelbach;Anthony R. McIntosh;Petra Ritter;Petra Ritter;Viktor K. Jirsa

  • How Ongoing Neuronal Oscillations Account for Evoked fMRI Variability

    Robert Becker;Matthias Reinacher;Frank Freyer;Arno Villringer

  • Spatial Attention Related SEP Amplitude Modulations Covary with BOLD Signal in S1—A Simultaneous EEG—fMRI Study

    Ruth Schubert;Petra Ritter;Torsten Wüstenberg;Claudia Preuschhof

  • Linking Molecular Pathways and Large-Scale Computational Modeling to Assess Candidate Disease Mechanisms and Pharmacodynamics in Alzheimer's Disease.

    Leon Stefanovski;Paul Triebkorn;Andreas Spiegler;Margarita-Arimatea Díaz-Cortés

  • Brain simulation as a cloud service: The Virtual Brain on EBRAINS

    Unknown

  • State-dependencies of learning across brain scales

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

  • Imperceptible stimuli and sensory processing impediment.

    Felix Blankenburg;Birol Taskin;Jan Ruben;Matthias Moosmann

  • Influence of ongoing alpha rhythm on the visual evoked potential

    Robert Becker;Petra Ritter;Arno Villringer

Frequent Co-Authors

Anthony R. McIntosh
Anthony R. McIntosh Simon Fraser University
Viktor K. Jirsa
Viktor K. Jirsa Aix-Marseille University
Gustavo Deco
Gustavo Deco Pompeu Fabra University
Arno Villringer
Arno Villringer Max Planck Institute for Human Cognitive and Brain Sciences
Michael Breakspear
Michael Breakspear University of Newcastle Australia
Ana Solodkin
Ana Solodkin University of California, Irvine
Morten L. Kringelbach
Morten L. Kringelbach University of Oxford
Daniele Marinazzo
Daniele Marinazzo Ghent University
Gaute T. Einevoll
Gaute T. Einevoll Norwegian University of Life Sciences
Alain Destexhe
Alain Destexhe Centre national de la recherche scientifique, CNRS

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