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Janaina Mourao-Miranda

Janaina Mourao-Miranda

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Neuroscience 44 7102 6539 549 505 111 9350

Janaina Mourao-Miranda publications per year

The chart shows the history of publications by Janaina Mourao-Miranda between 2001 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Janaina Mourao-Miranda published across 25 years, from 2001 to 2025, averaging 4.8 papers a year. Output peaked at 12 publications in 2013. 6 of the 120 publications appeared in the last two years.

No. of publications
5 10
Bar chart. Horizontal axis: year, 2001 to 2025. Vertical axis: number of publications, 0 to 12. Peak 12 publications in 2013. 2001: 1 publication 2002: 2 publications 2003: 4 publications 2004: 1 publication 2005: 2 publications 2006: 1 publication 2007: 4 publications 2008: 4 publications 2009: 9 publications 2010: 8 publications 2011: 7 publications 2012: 9 publications 2013: 12 publications 2014: 8 publications 2015: 4 publications 2016: 5 publications 2017: 6 publications 2018: 4 publications 2019: 9 publications 2020: 7 publications 2021: 2 publications 2022: 3 publications 2023: 2 publications 2024: 4 publications 2025: 2 publications
2001 2025

120 publications in total across all disciplines

View publications per year as a table
Janaina Mourao-Miranda: publications per year, 2001 to 2025
Year Publications
2001 1
2002 2
2003 4
2004 1
2005 2
2006 1
2007 4
2008 4
2009 9
2010 8
2011 7
2012 9
2013 12
2014 8
2015 4
2016 5
2017 6
2018 4
2019 9
2020 7
2021 2
2022 3
2023 2
2024 4
2025 2
Total 120
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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.

No. of scientists
100 200 300 400 500
Bar chart with 86 bars. Horizontal axis: publications, 38–47 to 887+. Vertical axis: number of scientists, 0 to 539. Most scientists, 539, have 98–107 publications. The last bar groups every scientist with 887 publications or more. The highlighted bar, 108–117 publications, is where this scientist sits. 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 scientist 868–877 publications: 3 scientists 878–886 publications: 6 scientists 887+ publications: 100 scientists
38–47 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.

View publications distribution as a table
Number of Neuroscience scientists by publication count, Research.com 2026 ranking edition. Based on 9,597 ranked scientists.
Publications Scientists This scientist
38–47 18
48–57 79
58–67 193
68–77 323
78–87 406
88–97 452
98–107 539
108–117 505 111
118–127 522
128–137 469
138–147 456
148–157 459
158–167 397
168–177 383
178–187 350
188–197 302
198–207 306
208–217 262
218–227 242
228–237 220
238–247 203
248–257 174
258–267 176
268–277 175
278–287 125
288–297 116
298–307 127
308–317 128
318–327 99
328–337 89
338–347 78
348–357 96
358–367 66
368–377 59
378–387 65
388–397 54
398–407 48
408–417 49
418–427 34
428–437 31
438–447 30
448–457 31
458–467 36
468–477 40
478–487 35
488–497 30
498–507 23
508–517 26
518–527 20
528–537 23
538–547 20
548–557 20
558–567 17
568–577 14
578–587 20
588–597 20
598–607 19
608–617 18
618–627 17
628–637 11
638–647 11
648–657 11
658–667 8
668–677 7
678–687 11
688–697 10
698–707 4
708–717 6
718–727 5
728–737 5
738–747 9
748–757 9
758–767 3
768–777 7
778–787 7
788–797 6
798–807 2
808–817 2
818–827 7
828–837 0
838–847 9
848–857 3
858–867 1
868–877 3
878–886 6
887+ 100
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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.

No. of scientists
100 200 300 400 500
Bar chart with 68 bars. Horizontal axis: D-Index, 30–31 to 163+. Vertical axis: number of scientists, 0 to 512. Most scientists, 512, have 46–47 D-Index. The last bar groups every scientist with 163 D-Index or more. The highlighted bar, 44–45 D-Index, is where this scientist sits. 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
30–31 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.

View D-Index distribution as a table
Number of Neuroscience scientists by D-index, Research.com 2026 ranking edition. Based on 9,597 ranked scientists.
D-Index Scientists This scientist
30–31 42
32–33 172
34–35 296
36–37 435
38–39 459
40–41 456
42–43 467
44–45 478 44
46–47 512
48–49 435
50–51 425
52–53 418
54–55 392
56–57 357
58–59 334
60–61 328
62–63 260
64–65 278
66–67 239
68–69 250
70–71 210
72–73 200
74–75 189
76–77 170
78–79 146
80–81 113
82–83 126
84–85 100
86–87 84
88–89 99
90–91 84
92–93 85
94–95 72
96–97 76
98–99 45
100–101 49
102–103 43
104–105 32
106–107 45
108–109 50
110–111 32
112–113 39
114–115 32
116–117 29
118–119 27
120–121 19
122–123 23
124–125 27
126–127 16
128–129 24
130–131 13
132–133 21
134–135 17
136–137 14
138–139 15
140–141 10
142–143 10
144–145 13
146–147 9
148–149 8
150–151 6
152–153 6
154–155 7
156–157 7
158–159 10
160–161 4
162 8
163+ 100
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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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