World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
44
Citations
8298
World Ranking
7127
National Ranking
200

Adeel Razi 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 Adeel Razi 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: 125 publications — 31st percentile

31% of scientists in this discipline score the same or lower.

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

Adeel Razi 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 Adeel Razi 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

Adeel Razi is affiliated with Monash University in Australia and has an extensive publication record primarily in the fields of Neuroscience and Medicine. Their research spans multiple subfields, including Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Cellular and Molecular Neuroscience, Epidemiology, and Experimental and Cognitive Psychology. The scientist's work encompasses a variety of topics such as Functional Brain Connectivity Studies, Neural Dynamics and Brain Function, Mental Health Research, COVID-19 Epidemiological Studies, Psychedelics and Drug Studies, Advanced Neuroimaging Techniques and Applications, and Influenza Virus Research Studies.

Some of their recent publications include:

  • In vitro neurons learn and exhibit sentience when embodied in a simulated game-world (2022, Neuron)
  • Explainable, trustworthy, and ethical machine learning for healthcare: A survey (2022, Computers in Biology and Medicine)
  • Leveraging Data Science to Combat COVID-19: A Comprehensive Review (2020, IEEE Transactions on Artificial Intelligence)
  • The physiological effects of noninvasive brain stimulation fundamentally differ across the human cortex (2020, Science Advances)
  • Controversies and progress on standardization of large-scale brain network nomenclature (2023, Network Neuroscience)

Razi frequently collaborates with several researchers in their field. Most frequent co-authors include Karl Friston, Leonardo Novelli, Peter Zeidman, Guillaume Flandin, and Thomas Parr.

Their work appears notably in publication venues such as bioRxiv (Cold Spring Harbor Laboratory), arXiv (Cornell University), Wellcome Open Research, Network Neuroscience, and Movement Disorders. Notably, bioRxiv contains the highest number of their publications, followed by arXiv and Wellcome Open Research.

Best Publications

  • Bayesian model reduction and empirical Bayes for group (DCM) studies

    Karl J. Friston;Vladimir Litvak;Ashwini Oswal;Adeel Razi

  • Questions and controversies in the study of time-varying functional connectivity in resting fMRI

    Daniel J. Lurie;Daniel Kessler;Danielle S. Bassett;Richard F. Betzel

  • A DCM for resting state fMRI

    Karl J. Friston;Joshua Kahan;Bharat B. Biswal;Adeel Razi

  • In vitro neurons learn and exhibit sentience when embodied in a simulated game-world

    Unknown

  • A guide to group effective connectivity analysis, part 1: First level analysis with DCM for fMRI

    Peter Zeidman;Amirhossein Jafarian;Nadège Corbin;Mohamed L. Seghier

  • Construct validation of a DCM for resting state fMRI.

    Adeel Razi;Adeel Razi;Joshua Kahan;Geraint Rees;Karl J. Friston

  • Dynamic causal modelling revisited

    Karl J. Friston;Katrin H. Preller;Katrin H. Preller;Christoph Mathys;Christoph Mathys;Hayriye Cagnan;Hayriye Cagnan

  • Effective connectivity changes in LSD-induced altered states of consciousness in humans

    Katrin H. Preller;Adeel Razi;Peter Zeidman;Philipp Stämpfli

  • Machine Learning for Predicting Epileptic Seizures Using EEG Signals: A Review

    Khansa Rasheed;Adnan Qayyum;Junaid Qadir;Shobi Sivathamboo

  • Large-scale DCMs for resting-state fMRI

    Adeel Razi;Mohamed L. Seghier;Yuan Zhou;Yuan Zhou;Peter McColgan

  • Extrinsic and Intrinsic Brain Network Connectivity Maintains Cognition across the Lifespan Despite Accelerated Decay of Regional Brain Activation.

    Kamen A. Tsvetanov;Kamen A. Tsvetanov;Richard N.A. Henson;Lorraine K. Tyler;Adeel Razi

  • Regression DCM for fMRI

    Stefan Frässle;Ekaterina I. Lomakina;Adeel Razi;Karl J. Friston

  • The Hierarchical Organization of the Default, Dorsal Attention and Salience Networks in Adolescents and Young Adults.

    Yuan Zhou;Karl J Friston;Peter Zeidman;Jie Chen

  • Secrecy Sum-Rates for Multi-User MIMO Regularized Channel Inversion Precoding

    G. Geraci;M. Egan;Jinhong Yuan;A. Razi

  • Compensation in Preclinical Huntington's Disease: Evidence From the Track-On HD Study

    Stefan Klöppel;Sarah Gregory;Elisa Scheller;Lora Minkova

  • Dynamic effective connectivity in resting state fMRI.

    Hae-Jeong Park;Karl J. Friston;Chongwon Pae;Bumhee Park

  • Inferring neural signalling directionality from undirected structural connectomes.

    Caio Seguin;Adeel Razi;Adeel Razi;Adeel Razi;Andrew Zalesky

  • The physiological effects of noninvasive brain stimulation fundamentally differ across the human cortex

    Gabriel Castrillon;Nico Sollmann;Katarzyna Kurcyus;Adeel Razi

  • Selective vulnerability of Rich Club brain regions is an organizational principle of structural connectivity loss in Huntington's disease.

    Peter McColgan;Kiran K. Seunarine;Adeel Razi;Adeel Razi;James H. Cole

  • On Markov blankets and hierarchical self-organisation

    Ensor Rafael Palacios;Adeel Razi;Thomas Parr;Michael D Kirchhoff

  • Brain Regions Showing White Matter Loss in Huntington's Disease Are Enriched for Synaptic and Metabolic Genes

    Peter McColgan;Sarah Gregory;Kiran K. Seunarine;Adeel Razi;Adeel Razi

Frequent Co-Authors

Karl J. Friston
Karl J. Friston University College London
Geraint Rees
Geraint Rees University College London
Sarah J. Tabrizi
Sarah J. Tabrizi University College London
Rachael I. Scahill
Rachael I. Scahill University College London
Jeffrey D. Long
Jeffrey D. Long University of Iowa
Alexandra Durr
Alexandra Durr Sorbonne University
Raymund A.C. Roos
Raymund A.C. Roos Leiden University Medical Center
Jinhong Yuan
Jinhong Yuan University of New South Wales
Guillaume Flandin
Guillaume Flandin University College London
Vladimir Litvak
Vladimir Litvak University College London

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