World's Best Scientists 2026 revealed!
Janaina Mourao-Miranda

Janaina Mourao-Miranda

D-Index & Metrics

Neuroscience

D-Index
44
Citations
9350
World Ranking
7102
National Ranking
549

Janaina Mourao-Miranda 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 Janaina Mourao-Miranda 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: 111 publications — 23rd percentile

23% of scientists in this discipline score the same or lower.

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

Janaina Mourao-Miranda 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 Janaina Mourao-Miranda 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

Janaina Mourao-Miranda is affiliated with University College London in the United Kingdom. Their research primarily focuses on Neuroscience, with particular attention to Cognitive Neuroscience, Experimental and Cognitive Psychology, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, and Health, Toxicology and Mutagenesis.

Themes central to their work include Functional Brain Connectivity Studies, Mental Health Research Topics, Advanced Neuroimaging Techniques and Applications, Neural Dynamics and Brain Function, Health, Environment, Cognitive Aging, Sensory Analysis and Statistical Methods, and Face Recognition and Perception.

Recent publications authored or co-authored by Janaina Mourao-Miranda include:

  • Finding the needle in a high-dimensional haystack: Canonical correlation analysis for neuroscientists (2020), NeuroImage
  • Canonical Correlation Analysis and Partial Least Squares for Identifying Brain-Behavior Associations: A Tutorial and a Comparative Study (2022), Biological Psychiatry Cognitive Neuroscience and Neuroimaging
  • Realizing the Clinical Potential of Computational Psychiatry: Report From the Banbury Center Meeting, February 2019 (2020), Biological Psychiatry
  • Fast temporal dynamics and causal relevance of face processing in the human temporal cortex (2020), Nature Communications
  • A hierarchical Bayesian model to find brain-behaviour associations in incomplete data sets (2021), NeuroImage

Frequent co-authors collaborating with Mourao-Miranda include Ágoston Mihalik, Fábio S. Ferreira, Rick A. Adams, John Ashburner, and Felix Hoffstaedter.

Publications often appear in well-known academic venues such as:

  • arXiv (Cornell University)
  • NeuroImage
  • Biological Psychiatry Cognitive Neuroscience and Neuroimaging
  • Biological Psychiatry
  • Communications Biology

Best Publications

  • The neural correlates of moral sensitivity: a functional magnetic resonance imaging investigation of basic and moral emotions.

    Jorge Moll;Ricardo de Oliveira-Souza;Paul J. Eslinger;Ivanei E. Bramati

  • Classifying brain states and determining the discriminating activation patterns: Support Vector Machine on functional MRI data.

    Janaina Mourão-Miranda;Arun L.W. Bokde;Christine Born;Harald Hampel

  • PRoNTo: Pattern Recognition for Neuroimaging Toolbox

    Jessica Schrouff;Maria Joao Rosa;Jane Rondina;Jane Rondina;Andre Marquand

  • Describing the Brain in Autism in Five Dimensions—Magnetic Resonance Imaging-Assisted Diagnosis of Autism Spectrum Disorder Using a Multiparameter Classification Approach

    Christine Ecker;Andre Marquand;Janaina Mourão-Miranda;Patrick Johnston

  • Investigating the predictive value of whole-brain structural MR scans in autism: A pattern classification approach

    Christine Ecker;Vanessa Rocha-Rego;Patrick Johnston;Janaina Mourao-Miranda

  • Automated detection of brain atrophy patterns based on MRI for the prediction of Alzheimer's disease.

    Claudia Plant;Stefan J. Teipel;Stefan J. Teipel;Annahita Oswald;Christian Böhm

  • Pattern Classification of Sad Facial Processing : Toward the Development of Neurobiological Markers in Depression

    Cynthia H.Y. Fu;Janaina Mourao-Miranda;Sergi G. Costafreda;Akash Khanna

  • Diagnostic neuroimaging across diseases.

    Stefan Klöppel;Ahmed Abdulkadir;Clifford R. Jack;Nikolaos Koutsouleris

  • Quantitative prediction of subjective pain intensity from whole-brain fMRI data using Gaussian processes.

    Andre Marquand;Matthew Howard;Michael Brammer;Carlton Chu

  • Bayesian decoding of brain images.

    Karl Friston;Carlton Chu;Janaina Mourão-Miranda;Oliver Hulme

  • Finding the needle in a high-dimensional haystack: Canonical correlation analysis for neuroscientists.

    Hao-Ting Wang;Hao-Ting Wang;Jonathan Smallwood;Janaina Mourao-Miranda;Cedric Huchuan Xia

  • Integrating neurobiological markers of depression.

    Tim Hahn;Andre F. Marquand;Ann-Christine Ehlis;Thomas Dresler

  • Patient classification as an outlier detection problem: An application of the One-Class Support Vector Machine

    Janaina Mourão-Miranda;David R. Hardoon;David R. Hardoon;Tim Hahn;Tim Hahn;Andre F. Marquand

  • Making Individual Prognoses in Psychiatry Using Neuroimaging and Machine Learning

    Ronald J. Janssen;Janaina Mourão-Miranda;Hugo G. Schnack

  • Sparse Network-Based Models for Patient Classification Using fMRI

    Maria J. Rosa;Liana Portugal;John Shawe-Taylor;Janaina Mourao-Miranda

  • Contributions of stimulus valence and arousal to visual activation during emotional perception

    J Mourão-Miranda;E Volchan;J Moll;R de Oliveira-Souza

  • The impact of temporal compression and space selection on SVM analysis of single-subject and multi-subject fMRI data

    Janaina Mourão-Miranda;Emanuelle Reynaud;Francis McGlone;Gemma Calvert

  • Neuroanatomy of verbal working memory as a diagnostic biomarker for depression.

    Andre F. Marquand;Janaina Mourão-Miranda;Michael J. Brammer;Anthony J. Cleare

  • Individualized prediction of illness course at the first psychotic episode: a support vector machine MRI study

    J. Mourao-Miranda;A.A.T.S. Reinders;V. Rocha-Rego;Julia M. Lappin

  • Dynamic discrimination analysis: a spatial-temporal SVM.

    Janaina Mourão-Miranda;Karl J. Friston;Michael Brammer

Frequent Co-Authors

Andre F. Marquand
Andre F. Marquand Radboud University
Michael Brammer
Michael Brammer King's College London
John Shawe-Taylor
John Shawe-Taylor University College London
John Ashburner
John Ashburner University College London
Mary L. Phillips
Mary L. Phillips University of Pittsburgh
Christophe Phillips
Christophe Phillips University of Liège
João Ricardo Sato
João Ricardo Sato Universidade Federal do ABC
Massimiliano Pontil
Massimiliano Pontil Italian Institute of Technology
Thomas Dresler
Thomas Dresler University of Tübingen
Ian M. Goodyer
Ian M. Goodyer University of Cambridge

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