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Federico De Martino

Federico De Martino

Maastricht University
Netherlands

D-Index & Metrics

Neuroscience

D-Index
41
Citations
7895
World Ranking
7802
National Ranking
211

Federico De Martino 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 Federico De Martino 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: 86 publications — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Federico De Martino 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 Federico De Martino 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: 41 D-Index — 19th percentile

19% of scientists in this discipline score the same or lower.

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

Overview

Federico De Martino is affiliated with Maastricht University in the Netherlands. Their research primarily spans the fields of Neuroscience and Medicine, with a particular focus on Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging. Additional areas of study include Atomic and Molecular Physics, and Optics, Artificial Intelligence, and Sensory Systems.

The scientist has contributed extensively to topics such as:

  • Neural dynamics and brain function
  • Functional Brain Connectivity Studies
  • Neuroscience and Music Perception
  • Advanced MRI Techniques and Applications
  • Hearing Loss and Rehabilitation
  • Advanced Neuroimaging Techniques and Applications
  • Atomic and Subatomic Physics Research

De Martino's research output includes a number of highly cited papers published in recognized venues. Some recent works include:

  • "Lowering the thermal noise barrier in functional brain mapping with magnetic resonance imaging," 2021, Nature Communications
  • "Cross-validation and permutations in MVPA: Validity of permutation strategies and power of cross-validation schemes," 2021, NeuroImage
  • "A 7 Tesla fMRI investigation of human tinnitus percept in cortical and subcortical auditory areas," 2020, NeuroImage Clinical
  • "Using high spatial resolution fMRI to understand representation in the auditory network," 2020, Progress in Neurobiology
  • "Investigating the Reliability of Population Receptive Field Size Estimates Using fMRI," 2020, Frontiers in Neuroscience

Frequently, the scientist has collaborated with several co-authors, including Lonike K. Faes with 10 joint papers, Luca Vizioli contributing to 9 publications, Essa Yacoub with 9, Agustín Lage-Castellanos with 9, and Ömer Faruk Gülban with 8.

Federico De Martino's work has appeared repeatedly in the following venues:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
  • Frontiers in Neuroscience
  • PLoS ONE
  • NeuroImage

Best Publications

  • Pushing spatial and temporal resolution for functional and diffusion MRI in the Human Connectome Project

    Kamil Ugurbil;Junqian Xu;Edward J. Auerbach;Steen Moeller

  • "Who" Is Saying "What"? Brain-Based Decoding of Human Voice and Speech

    Elia Formisano;Federico De Martino;Milene Bonte;Rainer Goebel

  • Combining multivariate voxel selection and support vector machines for mapping and classification of fMRI spatial patterns.

    Federico De Martino;Giancarlo Valente;Noël Staeren;John Ashburner

  • Contextual Feedback to Superficial Layers of V1.

    Lars Muckli;Federico De Martino;Federico De Martino;Luca Vizioli;Lucy S. Petro

  • Classification of fMRI independent components using IC-fingerprints and support vector machine classifiers.

    Federico De Martino;Francesco Gentile;Fabrizio Esposito;Fabrizio Esposito;Marco Balsi

  • Encoding of natural sounds at multiple spectral and temporal resolutions in the human auditory cortex.

    Roberta Santoro;Michelle Moerel;Federico De Martino;Federico De Martino;Rainer Goebel

  • An anatomical and functional topography of human auditory cortical areas

    Michelle Moerel;Michelle Moerel;Federico De Martino;Elia Formisano

  • Processing of Natural Sounds in Human Auditory Cortex: Tonotopy, Spectral Tuning, and Relation to Voice Sensitivity

    Michelle Moerel;Federico De Martino;Elia Formisano

  • Mapping the Organization of Axis of Motion Selective Features in Human Area MT Using High-Field fMRI

    Jan Zimmermann;Rainer Goebel;Rainer Goebel;Federico De Martino;Federico De Martino;Pierre-Francois van de Moortele

  • Sound Categories Are Represented as Distributed Patterns in the Human Auditory Cortex

    Noël Staeren;Hanna Renvall;Federico De Martino;Rainer Goebel

  • Comprehensive in vivo mapping of the human basal ganglia and thalamic connectome in individuals using 7T MRI.

    Christophe Lenglet;Aviva Abosch;Essa Yacoub;Federico De Martino;Federico De Martino

  • Frequency preference and attention effects across cortical depths in the human primary auditory cortex.

    Federico De Martino;Federico De Martino;Michelle Moerel;Kamil Ugurbil;Rainer Goebel;Rainer Goebel

  • Multivariate analysis of fMRI time series: classification and regression of brain responses using machine learning

    Elia Formisano;Federico De Martino;Giancarlo Valente

  • Cortical Depth Dependent Functional Responses in Humans at 7T: Improved Specificity with 3D GRASE

    Federico De Martino;Federico De Martino;Jan Zimmermann;Lars Muckli;Lars Muckli;Kamil Ugurbil

  • Lowering the thermal noise barrier in functional brain mapping with magnetic resonance imaging

    Luca Vizioli;Steen Moeller;Logan Dowdle;Mehmet Akçakaya

  • Reconstructing the spectrotemporal modulations of real-life sounds from fMRI response patterns

    Roberta Santoro;Roberta Santoro;Michelle Moerel;Michelle Moerel;Federico De Martino;Giancarlo Valente

  • The impact of ultra-high field MRI on cognitive and computational neuroimaging.

    Federico De Martino;Federico De Martino;Essa Yacoub;Valentin G. Kemper;Michelle Moerel

  • Independent component analysis of interictal fMRI in focal epilepsy: comparison with general linear model-based EEG-correlated fMRI.

    R. Rodionov;F. De Martino;H. Laufs;H. Laufs;D.W. Carmichael

  • Spatial organization of frequency preference and selectivity in the human inferior colliculus

    Federico De Martino;Federico De Martino;Michelle Moerel;Pierre Francois Van De Moortele;Kamil Ugurbil

  • High-Resolution Mapping of Myeloarchitecture In Vivo: Localization of Auditory Areas in the Human Brain

    Federico De Martino;Federico De Martino;Michelle Moerel;Junqian Xu;Junqian Xu;Pierre Francois Van De Moortele

Frequent Co-Authors

Elia Formisano
Elia Formisano Maastricht University
Rainer Goebel
Rainer Goebel Maastricht University
Essa Yacoub
Essa Yacoub University of Minnesota
Kamil Ugurbil
Kamil Ugurbil University of Minnesota
Fabrizio Esposito
Fabrizio Esposito University of Campania "Luigi Vanvitelli"
Katharina von Kriegstein
Katharina von Kriegstein TU Dresden
Lars Muckli
Lars Muckli University of Glasgow
Pierre-Francois Van de Moortele
Pierre-Francois Van de Moortele University of Minnesota
Satrajit S. Ghosh
Satrajit S. Ghosh MIT
David Edmund Johannes Linden
David Edmund Johannes Linden Maastricht University

External Links

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Best Scientists Citing Federico De Martino

Rainer Goebel

Rainer Goebel

Maastricht University

Publications: 66

Kamil Ugurbil

Kamil Ugurbil

University of Minnesota

Publications: 57

Essa Yacoub

Essa Yacoub

University of Minnesota

Publications: 50

Elia Formisano

Elia Formisano

Maastricht University

Publications: 46

Pascal Belin

Pascal Belin

Aix-Marseille University

Publications: 41

David G. Norris

David G. Norris

Radboud University

Publications: 39

Matthew F. Glasser

Matthew F. Glasser

Washington University in St. Louis

Publications: 37

Pierre-Louis Bazin

Pierre-Louis Bazin

University of Amsterdam

Publications: 35

Katharina von Kriegstein

Katharina von Kriegstein

TU Dresden

Publications: 32

Vince D. Calhoun

Vince D. Calhoun

Georgia State University

Publications: 30

David C. Van Essen

David C. Van Essen

Washington University in St. Louis

Publications: 29

Stephen M. Smith

Stephen M. Smith

University of Oxford

Publications: 28

Stamatios N. Sotiropoulos

Stamatios N. Sotiropoulos

University of Nottingham

Publications: 26

Christian F. Beckmann

Christian F. Beckmann

Radboud University

Publications: 24

Lars Muckli

Lars Muckli

University of Glasgow

Publications: 23

Lawrence L. Wald

Lawrence L. Wald

Harvard University

Publications: 23

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