World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
56
Citations
15444
World Ranking
4458
National Ranking
124

Olivier Salvado 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 Olivier Salvado 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: 412 publications — 92nd percentile

92% of scientists in this discipline score the same or lower.

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

Olivier Salvado 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 Olivier Salvado 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: 56 D-Index — 54th percentile

54% of scientists in this discipline score the same or lower.

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

Overview

Olivier Salvado is affiliated with the Commonwealth Scientific and Industrial Research Organisation in Australia. Their research spans multiple fields with a predominant focus on Medicine and Computer Science.

The scientist's work covers various specialized subfields, including:

  • Computer Vision and Pattern Recognition
  • Radiology, Nuclear Medicine and Imaging
  • Psychiatry and Mental health
  • Physiology
  • Cognitive Neuroscience

Key topics addressed in their publications include:

  • Dementia and Cognitive Impairment Research
  • Alzheimer's disease research and treatments
  • Advanced Neuroimaging Techniques and Applications
  • Functional Brain Connectivity Studies
  • Health, Environment, Cognitive Aging
  • Medical Image Segmentation Techniques
  • Intracerebral and Subarachnoid Hemorrhage Research

Olivier Salvado has contributed to several recent papers that focus on neurodegenerative conditions and neuroimaging methodologies. Notable publications include:

  • "Fifteen Years of the Australian Imaging, Biomarkers and Lifestyle (AIBL) Study: Progress and Observations from 2,359 Older Adults Spanning the Spectrum from Cognitive Normality to Alzheimer's Disease," 2021, Journal of Alzheimer's Disease Reports
  • "Association of β-Amyloid Level, Clinical Progression, and Longitudinal Cognitive Change in Normal Older Individuals," 2020, Neurology
  • "A prospective cohort study of prodromal Alzheimer's disease: Prospective Imaging Study of Ageing: Genes, Brain and Behaviour (PISA)," 2020, NeuroImage Clinical
  • "Deferiprone in Alzheimer Disease," 2024, JAMA Neurology
  • "Impact of APOE-ε4 carriage on the onset and rates of neocortical Aβ-amyloid deposition," 2020, Neurobiology of Aging

The scientist frequently collaborates with other researchers, including:

  • Pierrick Bourgeat
  • Jürgen Fripp
  • Clinton Fookes
  • Rodrigo Santa Cruz
  • Léo Lebrat

Olivier Salvado's work has been published repeatedly in venues such as:

  • arXiv (Cornell University)
  • Alzheimer's & Dementia
  • Journal of Alzheimer's Disease
  • Journal of Alzheimer's Disease Reports
  • ACM Computing Surveys

Best Publications

  • Amyloid β deposition, neurodegeneration, and cognitive decline in sporadic Alzheimer's disease: a prospective cohort study.

    Victor L. Villemagne;Samantha Burnham;Pierrick Bourgeat;Belinda M. Brown

  • Amyloid imaging results from the Australian Imaging, Biomarkers and Lifestyle (AIBL) study of aging

    Christopher C Rowe;Kathryn A Ellis;Kathryn A Ellis;Miroslava Rimajova;Pierrick Bourgeat

  • Longitudinal Assessment of Aβ and Cognition in Aging and Alzheimer Disease

    Victor L Villemagne;Kerryn E Pike;Gaël Chételat;Kathryn A Ellis

  • Apparent Fibre Density: a novel measure for the analysis of diffusion-weighted magnetic resonance images.

    David Raffelt;Jacques-Donald Tournier;Stephen E. Rose;Gerard R. Ridgway

  • Relationship between atrophy and beta-amyloid deposition in Alzheimer disease.

    Gaël Chételat;Victor L. Villemagne;Pierrick Bourgeat;Kerryn E. Pike

  • An atlas-based electron density mapping method for magnetic resonance imaging (MRI)-alone treatment planning and adaptive MRI-based prostate radiation therapy.

    Jason A. Dowling;Jonathan Lambert;Joel Parker;Olivier Salvado

  • Retinal vascular biomarkers for early detection and monitoring of Alzheimer’s disease

    Shawn Frost;Shawn Frost;Yogi Kanagasingam;Hamid Sohrabi;J Vignarajan

  • Fibre-specific white matter reductions in Alzheimer's disease and mild cognitive impairment.

    Remika Mito;Remika Mito;David Raffelt;Thijs Dhollander;David N Vaughan;David N Vaughan

  • Symmetric diffeomorphic registration of fibre orientation distributions

    David Raffelt;Jacques-Donald Tournier;Jurgen Fripp;Stuart Crozier

  • Regional dynamics of amyloid-β deposition in healthy elderly, mild cognitive impairment and Alzheimer’s disease: a voxelwise PiB–PET longitudinal study

    Nicolas Villain;Gaël Chételat;Blandine Grassiot;Pierrick Bourgeat

  • Cerebral quantitative susceptibility mapping predicts amyloid-β-related cognitive decline.

    Scott Ayton;Amir Fazlollahi;Amir Fazlollahi;Pierrick Bourgeat;Pierrick Bourgeat;Parnesh Raniga

  • Clinical and cognitive trajectories in cognitively healthy elderly individuals with suspected non-Alzheimer's disease pathophysiology (SNAP) or Alzheimer's disease pathology : a longitudinal study

    Samantha C. Burnham;Pierrick T. Bourgeat;Vincent Doré;Greg R. Savage

  • Beta-amyloid burden in the temporal neocortex is related to hippocampal atrophy in elderly subjects without dementia.

    P. Bourgeat;G. Chételat;G. Chételat;V.L. Villemagne;V.L. Villemagne;J. Fripp

  • Predicting Alzheimer disease with β-amyloid imaging: Results from the Australian imaging, biomarkers, and lifestyle study of ageing

    Christopher C. Rowe;Pierrick Bourgeat;Kathryn A. Ellis;Belinda M. Brown

  • MRI-guided prostate radiation therapy planning: Investigation of dosimetric accuracy of MRI-based dose planning

    Jonathan Lambert;Peter B. Greer;Peter B. Greer;Fred Menk;Jackie Patterson

  • Incidence of cerebral microbleeds in preclinical Alzheimer disease

    Paul A. Yates;Patricia M. Desmond;Patricia M. Desmond;Pramit M. Phal;Christopher Steward;Christopher Steward

  • Lesion segmentation from multimodal MRI using random forest following ischemic stroke

    Jhimli Mitra;Pierrick Bourgeat;Jurgen Fripp;Soumya Ghose

  • Larger temporal volume in elderly with high versus low beta-amyloid deposition

    Gaël Chételat;Victor L. Villemagne;Kerryn E. Pike;Jean Claude Baron

  • Fifteen Years of the Australian Imaging, Biomarkers and Lifestyle (AIBL) Study: Progress and Observations from 2,359 Older Adults Spanning the Spectrum from Cognitive Normality to Alzheimer's Disease.

    Christopher Fowler;Stephanie R. Rainey-Smith;Sabine Bird;Julia Bomke

  • Implementing the centiloid transformation for 11C-PiB and β-amyloid 18F-PET tracers using CapAIBL.

    Pierrick Bourgeat;Vincent Doré;Jurgen Fripp;David Ames

  • Aβ-amyloid and Tau Imaging in Dementia

    Victor L. Villemagne;Victor L. Villemagne;Vincent Doré;Pierrick Bourgeat;Samantha C. Burnham

  • Independent contribution of temporal β-amyloid deposition to memory decline in the pre-dementia phase of Alzheimer’s disease

    Gaël Chételat;Victor L. Villemagne;Kerryn E. Pike;Kathryn A. Ellis

Frequent Co-Authors

Christopher C. Rowe
Christopher C. Rowe University of Melbourne
Victor L. Villemagne
Victor L. Villemagne University of Pittsburgh
David Ames
David Ames University of Melbourne
Ralph N. Martins
Ralph N. Martins Edith Cowan University
Colin L. Masters
Colin L. Masters University of Melbourne
Kathryn A. Ellis
Kathryn A. Ellis University of Melbourne
Paul Maruff
Paul Maruff University of Melbourne
Cassandra Szoeke
Cassandra Szoeke University of Melbourne
Sebastien Ourselin
Sebastien Ourselin King's College London
Hamid R. Sohrabi
Hamid R. Sohrabi Murdoch University

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