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D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Neuroscience 65 3143 2871 180 161 189 13577

Sridar Narayanan publications per year

The chart shows the history of publications by Sridar Narayanan between 1996 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Sridar Narayanan published across 30 years, from 1996 to 2025, averaging 7.3 papers a year. Output peaked at 18 publications in 2024. 30 of the 219 publications appeared in the last two years.

No. of publications
5 10 15
Bar chart. Horizontal axis: year, 1996 to 2025. Vertical axis: number of publications, 0 to 18. Peak 18 publications in 2024. 1996: 2 publications 1997: 2 publications 1998: 5 publications 1999: 3 publications 2000: 8 publications 2001: 4 publications 2002: 6 publications 2003: 1 publication 2004: 5 publications 2005: 3 publications 2006: 4 publications 2007: 1 publication 2008: 3 publications 2009: 9 publications 2010: 11 publications 2011: 8 publications 2012: 10 publications 2013: 7 publications 2014: 11 publications 2015: 7 publications 2016: 12 publications 2017: 10 publications 2018: 10 publications 2019: 12 publications 2020: 7 publications 2021: 14 publications 2022: 7 publications 2023: 7 publications 2024: 18 publications 2025: 12 publications
1996 2025

219 publications in total across all disciplines

View publications per year as a table
Sridar Narayanan: publications per year, 1996 to 2025
Year Publications
1996 2
1997 2
1998 5
1999 3
2000 8
2001 4
2002 6
2003 1
2004 5
2005 3
2006 4
2007 1
2008 3
2009 9
2010 11
2011 8
2012 10
2013 7
2014 11
2015 7
2016 12
2017 10
2018 10
2019 12
2020 7
2021 14
2022 7
2023 7
2024 18
2025 12
Total 219
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Sridar Narayanan 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 Sridar Narayanan 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, 188–197 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: 189 publications — 59th percentile

59% 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
118–127 522
128–137 469
138–147 456
148–157 459
158–167 397
168–177 383
178–187 350
188–197 302 189
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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Sridar Narayanan 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 Sridar Narayanan 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, 64–65 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: 65 D-Index — 68th percentile

68% 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
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 65
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

Sridar Narayanan is affiliated with the Montreal Neurological Institute and Hospital in Canada. Their research primarily spans the field of Medicine, with a focus on various subfields including Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging, Neurology, Rheumatology, and Biomedical Engineering.

The main topics of their work encompass multiple areas within neurological and medical imaging research. These topics include:

  • Multiple Sclerosis Research Studies
  • Ultrasound Imaging and Elastography
  • Systemic Lupus Erythematosus Research
  • Advanced Neuroimaging Techniques and Applications
  • Advanced MRI Techniques and Applications
  • Ultrasound and Hyperthermia Applications
  • Traumatic Brain Injury and Neurovascular Disturbances

Significant publication venues where Sridar Narayanan's work has appeared consist of:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Neurology
  • Multiple Sclerosis Journal
  • Brain Communications
  • Multiple Sclerosis and Related Disorders

Frequent coauthors who have collaborated with Sridar Narayanan include:

  • Douglas L. Arnold
  • AmanPreet Badhwar
  • Dumitru Fetco
  • Flavie E. Detcheverry
  • D. Louis Collins

Among their recent publications are:

  • "Identifying multiple sclerosis subtypes using unsupervised machine learning and MRI data," published in 2021 in Nature Communications
  • "Deep grey matter injury in multiple sclerosis: a NAIMS consensus statement," published in 2021 in Brain
  • "Cortical lesion hotspots and association of subpial lesions with disability in multiple sclerosis," published in 2022 in Multiple Sclerosis Journal
  • "Predicting disability progression and cognitive worsening in multiple sclerosis using patterns of grey matter volumes," published in 2021 in Journal of Neurology Neurosurgery & Psychiatry
  • "Effects of Ibudilast on MRI Measures in the Phase 2 SPRINT-MS Study," published in 2020 in Neurology

Best Publications

  • Evidence of axonal damage in the early stages of multiple sclerosis and its relevance to disability.

    Nicola De Stefano;Sridar Narayanan;Gordon S. Francis;Rozie Arnaoutelis

  • Axonal damage correlates with disability in patients with relapsing-remitting multiple sclerosis. Results of a longitudinal magnetic resonance spectroscopy study.

    N De Stefano;P M Matthews;L Fu;S Narayanan

  • Imaging axonal damage of normal-appearing white matter in multiple sclerosis.

    L Fu;P M Matthews;N De Stefano;K J Worsley

  • Review of automatic segmentation methods of multiple sclerosis white matter lesions on conventional magnetic resonance imaging.

    Daniel García-Lorenzo;Simon J. Francis;Sridar Narayanan;Douglas L. Arnold

  • Evidence for adaptive functional changes in the cerebral cortex with axonal injury from multiple sclerosis.

    H Reddy;S Narayanan;R Arnoutelis;M Jenkinson

  • Clinical, environmental, and genetic determinants of multiple sclerosis in children with acute demyelination: a prospective national cohort study

    Brenda Banwell;Amit Bar-Or;Douglas L Arnold;Dessa Sadovnick

  • In vivo histology of the myelin g-ratio with magnetic resonance imaging

    Nikola Stikov;Nikola Stikov;Jennifer S.W. Campbell;Thomas Stroh;Mariette Lavelée

  • Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks.

    Charley Gros;Benjamin De Leener;Atef Badji;Josefina Maranzano

  • Imaging of axonal damage in multiple sclerosis: spatial distribution of magnetic resonance imaging lesions.

    S. Narayanan;L. Fu;E. Pioro;N. De Stefano

  • The relationship between diffuse axonal damage and fatigue in multiple sclerosis.

    Maria Carmela Tartaglia;Sridar Narayanan;Simon J. Francis;Antonio Carlos Santos

  • Identifying multiple sclerosis subtypes using unsupervised machine learning and MRI data.

    Arman Eshaghi;Alexandra L. Young;Alexandra L. Young;Peter A. Wijeratne;Ferran Prados;Ferran Prados;Ferran Prados

  • Putting magnetic resonance spectroscopy studies in context: axonal damage and disability in multiple sclerosis

    P. M. Matthews;N. De Stefano;S. Narayanan;G. S. Francis

  • Functional brain reorganization for hand movement in patients with multiple sclerosis: Defining distinct effects of injury and disability

    H Reddy;S Narayanan;M Woolrich;T Mitsumori

  • Diffuse axonal and tissue injury in patients with multiple sclerosis with low cerebral lesion load and no disability.

    Nicola De Stefano;Sridar Narayanan;Simon J. Francis;Steve Smith

  • In vivo evidence for axonal dysfunction remote from focal cerebral demyelination of the type seen in multiple sclerosis

    Nicola De Stefano;Sridar Narayanan;Paul M. Matthews;Gordon S. Francis

  • Multiple sclerosis: magnetization transfer MR imaging of white matter before lesion appearance on T2-weighted images.

    G. Bruce Pike;Nicola De Stefano;Sridar Narayanan;Keith J. Worsley

  • Choline is increased in pre-lesional normal appearing white matter in multiple sclerosis

    M. C. Tartaglia;S. Narayanan;N. De Stefano;R. Arnaoutelis

  • Relating axonal injury to functional recovery in MS

    H. Reddy;S. Narayanan;P.M. Matthews;R.D. Hoge

  • MRI parameters for prediction of multiple sclerosis diagnosis in children with acute CNS demyelination: a prospective national cohort study.

    Leonard H. Verhey;Helen M. Branson;Manohar M. Shroff;David J A Callen

  • Assessment of lesion pathology in multiple sclerosis using quantitative MRI morphometry and magnetic resonance spectroscopy

    P. M. Matthews;E. Pioro;S. Narayanan;N. De Stefano

  • Relating neocortical pathology to disability progression in multiple sclerosis using MRI

    J T Chen;S Narayanan;D L Collins;S M Smith

Frequent Co-Authors

Douglas L. Arnold
Douglas L. Arnold Montreal Neurological Institute and Hospital
Brenda Banwell
Brenda Banwell Children's Hospital of Philadelphia
D. Louis Collins
D. Louis Collins McGill University
John G. Sled
John G. Sled University of Toronto
G. Bruce Pike
G. Bruce Pike University of Calgary
Amit Bar-Or
Amit Bar-Or University of Pennsylvania
Jack P. Antel
Jack P. Antel McGill University
Vladimir S. Fonov
Vladimir S. Fonov McGill University
Paul M. Matthews
Paul M. Matthews Imperial College London
Julien Cohen-Adad
Julien Cohen-Adad Polytechnique Montréal

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Each of these online options provides flexibility and specialized training, making them popular among neuroscience graduates seeking to expand their credentials and contribute meaningfully to healthcare, education, or research sectors.

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