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D-Index & Metrics

Neuroscience

D-Index
35
Citations
7870
World Ranking
9116
National Ranking
274

Marta I. Garrido 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 Marta I. Garrido 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: 116 publications — 26th percentile

26% of scientists in this discipline score the same or lower.

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

Marta I. Garrido 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 Marta I. Garrido 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: 35 D-Index — 5th percentile

5% of scientists in this discipline score the same or lower.

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

Overview

Marta I. Garrido is affiliated with the University of Melbourne in Australia and specializes in Neuroscience, with a focus on cognitive and experimental domains. Their research portfolio includes 131 publications in Neuroscience, particularly within subfields such as Cognitive Neuroscience, Experimental and Cognitive Psychology, Radiology, Nuclear Medicine and Imaging, Clinical Psychology, and Cellular and Molecular Neuroscience.

The scientist's work spans key topics in the neuroscience field, including:

  • Functional Brain Connectivity Studies
  • Neural dynamics and brain function
  • Neural and Behavioral Psychology Studies
  • Visual perception and processing mechanisms
  • Neuroscience and Music Perception
  • Advanced Neuroimaging Techniques and Applications
  • Face Recognition and Perception

Frequent collaboration partners feature colleagues such as Robert Hester, Elise Rowe, Jason B. Mattingley, Shivam Kalhan, and Ilvana Dzafic, reflecting a network of recurrent co-authorship over numerous publications.

Key publication venues for Marta I. Garrido include bioRxiv (Cold Spring Harbor Laboratory) with 19 papers, Human Brain Mapping with 5, Neuroscience & Biobehavioral Reviews with 3, as well as PLoS Computational Biology and Brain Communications, each with 2 papers.

Recent published works include:

  • "Issues and recommendations from the OHBM COBIDAS MEEG committee for reproducible EEG and MEG research," 2020, Nature Neuroscience
  • "The influence of subcortical shortcuts on disordered sensory and cognitive processing," 2020, Nature Reviews. Neuroscience
  • "Neurodesk: an accessible, flexible and portable data analysis environment for reproducible neuroimaging," 2024, Nature Methods
  • "A predictive coding account of value-based learning in PTSD: Implications for precision treatments," 2022, Neuroscience & Biobehavioral Reviews
  • "Statistical Learning and Inference Is Impaired in the Nonclinical Continuum of Psychosis," 2020, Journal of Neuroscience

Best Publications

  • The mismatch negativity: a review of underlying mechanisms.

    Marta I. Garrido;James M. Kilner;Klaas E. Stephan;Karl J. Friston

  • Preserved feedforward but impaired top-down processes in the vegetative state.

    Melanie Boly;Melanie Boly;Marta Isabel Garrido;Olivia Gosseries;Marie-Aurelie Bruno

  • The functional anatomy of the MMN: A DCM study of the roving paradigm

    Marta I. Garrido;Karl J. Friston;Stefan J. Kiebel;Klaas E. Stephan

  • Dynamic causal modelling for EEG and MEG

    Stefan J. Kiebel;Marta I. Garrido;Rosalyn J. Moran;Karl J. Friston

  • Evoked brain responses are generated by feedback loops

    Marta I. Garrido;James M. Kilner;Stefan J. Kiebel;Karl J. Friston

  • Dynamic causal modeling for EEG and MEG.

    Stefan J Kiebel;Marta I Garrido;Rosalyn J Moran;Chun-Chuan Chen

  • Dynamic Causal Modelling of evoked potentials: A reproducibility study

    Marta I. Garrido;James M. Kilner;Stefan J. Kiebel;Klaas E. Stephan

  • Repetition suppression and plasticity in the human brain

    Marta I. Garrido;James M. Kilner;Stefan J. Kiebel;Klaas E. Stephan;Klaas E. Stephan

  • Dynamic causal modeling of the response to frequency deviants

    Marta I. Garrido;James M. Kilner;Stefan J. Kiebel;Karl J. Friston

  • Issues and recommendations from the OHBM COBIDAS MEEG committee for reproducible EEG and MEG research.

    Cyril Pernet;Marta I. Garrido;Alexandre Gramfort;Natasha Maurits

  • Modelling Trial-by-Trial Changes in the Mismatch Negativity

    Falk Lieder;Jean Daunizeau;Marta I Garrido;Marta I Garrido;Karl J Friston

  • Dynamic causal modelling of evoked responses: The role of intrinsic connections

    Stefan J. Kiebel;Marta I. Garrido;Karl J. Friston

  • Outlier responses reflect sensitivity to statistical structure in the human brain

    Marta I. Garrido;Marta I. Garrido;Maneesh Sahani;Raymond J. Dolan

  • A Rapid Subcortical Amygdala Route for Faces Irrespective of Spatial Frequency and Emotion.

    Jessica McFadyen;Jessica McFadyen;Martial Mermillod;Martial Mermillod;Jason B. Mattingley;Veronika Halász

  • A Neurocomputational Model of the Mismatch Negativity

    Falk Lieder;Falk Lieder;Klaas E. Stephan;Klaas E. Stephan;Jean Daunizeau;Marta I. Garrido;Marta I. Garrido

  • Functional Evidence for a Dual Route to Amygdala

    Marta I. Garrido;Gareth R. Barnes;Maneesh Sahani;Raymond J. Dolan

  • Subcortical amygdala pathways enable rapid face processing

    Mona M. Garvert;Karl J. Friston;Raymond J. Dolan;Marta I. Garrido

  • Attention Promotes the Neural Encoding of Prediction Errors

    Cooper A. Smout;Matthew F. Tang;Marta I. Garrido;Jason B. Mattingley

  • Brain connectivity in disorders of consciousness.

    Mélanie Boly;Marcello Massimini;Marta Isabel Garrido;Olivia Gosseries

  • An afferent white matter pathway from the pulvinar to the amygdala facilitates fear recognition

    Jessica McFadyen;Jason B Mattingley;Marta I Garrido

  • Report Functional Evidence for a Dual Route to Amygdala

    Marta I. Garrido;Gareth R. Barnes;Maneesh Sahani;Raymond J. Dolan

Frequent Co-Authors

Karl J. Friston
Karl J. Friston University College London
Jason B. Mattingley
Jason B. Mattingley University of Queensland
Raymond J. Dolan
Raymond J. Dolan University College London
Klaas E. Stephan
Klaas E. Stephan University of Zurich
James M. Kilner
James M. Kilner University College London
Rosalyn J. Moran
Rosalyn J. Moran King's College London
Mélanie Boly
Mélanie Boly University of Wisconsin–Madison
Tom Brismar
Tom Brismar Karolinska Institute
Maneesh Sahani
Maneesh Sahani University College London

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