World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
68
Citations
14610
World Ranking
2777
National Ranking
158

Neda Bernasconi 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 Neda Bernasconi 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: 206 publications — 64th percentile

64% of scientists in this discipline score the same or lower.

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

Neda Bernasconi 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 Neda Bernasconi 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: 68 D-Index — 72nd percentile

72% of scientists in this discipline score the same or lower.

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

Overview

Neda Bernasconi is affiliated with the Montreal Neurological Institute and Hospital in Canada. Their research primarily spans Medicine and Neuroscience, with significant contributions to subfields such as Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Psychiatry and Mental Health, as well as Cellular and Molecular Neuroscience. The scientist's work covers a broad range of topics including Functional Brain Connectivity Studies, Epilepsy research and treatment, Advanced Neuroimaging Techniques and Applications, Advanced MRI Techniques and Applications, Neuroscience and Neuropharmacology Research, Neural dynamics and brain function, and Memory and Neural Mechanisms.

Their recent papers include several collaborative studies with notable coauthors. Some of the latest publications are:

  • "Network-based atrophy modeling in the common epilepsies: A worldwide ENIGMA study" (2020, Science Advances)
  • "Functional connectome contractions in temporal lobe epilepsy: Microstructural underpinnings and predictors of surgical outcome" (2020, Epilepsia)
  • "7T Epilepsy Task Force Consensus Recommendations on the Use of 7T MRI in Clinical Practice" (2020, Neurology)
  • "Convergence of cortical types and functional motifs in the human mesiotemporal lobe" (2020, eLife)
  • "An Open MRI Dataset For Multiscale Neuroscience" (2022, Scientific Data)

Frequent co-authors who have collaborated extensively with this scientist include:

  • Andrea Bernasconi
  • Boris C. Bernhardt
  • Jessica Royer
  • Raúl Rodríguez-Cruces
  • Sara Larivière

The scientist has published repeatedly in several key venues, highlighting their active participation in the scholarly community. These venues include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Epilepsia
  • Brain
  • Neurology
  • NeuroImage Clinical

Neda Bernasconi's research integrates advanced neuroimaging methods to investigate brain connectivity and neurological disorders, with a particular focus on epilepsy. Their multidisciplinary approach involves applying novel MRI techniques and analyzing neural dynamics to explore disease mechanisms and functional brain organization.

Best Publications

  • International consensus classification of hippocampal sclerosis in temporal lobe epilepsy: A Task Force report from the ILAE Commission on Diagnostic Methods

    Ingmar Blümcke;Maria Thom;Eleonora Aronica;Dawna D. Armstrong

  • Mesial temporal damage in temporal lobe epilepsy: a volumetric MRI study of the hippocampus, amygdala and parahippocampal region.

    N Bernasconi;A Bernasconi;Z Caramanos;S B Antel

  • Graph-Theoretical Analysis Reveals Disrupted Small-World Organization of Cortical Thickness Correlation Networks in Temporal Lobe Epilepsy

    Boris C. Bernhardt;Zhang Chen;Yong He;Alan C. Evans

  • Structural brain abnormalities in the common epilepsies assessed in a worldwide ENIGMA study.

    Christopher D Whelan;Christopher D Whelan;Andre Altmann;Juan A Botía;Neda Jahanshad

  • Recommendations for the use of structural magnetic resonance imaging in the care of patients with epilepsy: A consensus report from the International League Against Epilepsy Neuroimaging Task Force.

    Andrea Bernasconi;Fernando Cendes;William H. Theodore;Ravnoor S. Gill

  • Whole-brain voxel-based statistical analysis of gray matter and white matter in temporal lobe epilepsy.

    N. Bernasconi;S. Duchesne;A. Janke;J. Lerch

  • Longitudinal and cross-sectional analysis of atrophy in pharmacoresistant temporal lobe epilepsy.

    Boris C. Bernhardt;K.J. Worsley;H. Kim;A.C. Evans

  • Anatomical and microstructural determinants of hippocampal subfield functional connectome embedding.

    Reinder Vos de Wael;Sara Larivière;Benoît Caldairou;Seok-Jun Hong

  • Entorhinal cortex in temporal lobe epilepsy A quantitative MRI study

    N. Bernasconi;A. Bernasconi;F. Andermann;F. Dubeau

  • Imaging structural and functional brain networks in temporal lobe epilepsy.

    Boris C. Bernhardt;Boris C. Bernhardt;Seok Jun Hong;Andrea Bernasconi;Neda Bernasconi

  • Advances in MRI for 'cryptogenic' epilepsies

    Andrea Bernasconi;Neda Bernasconi;Boris C. Bernhardt;Dewi S. Schrader

  • Cortical thickness analysis in temporal lobe epilepsy: Reproducibility and relation to outcome

    Boris C. Bernhardt;Neda Bernasconi;Luis Concha;Andrea Bernasconi

  • MRI volumetry of the thalamus in temporal, extratemporal, and idiopathic generalized epilepsy.

    Jun Natsume;Neda Bernasconi;Frederick Andermann;Andrea Bernasconi

  • Texture analysis and morphological processing of magnetic resonance imaging assist detection of focal cortical dysplasia in extra-temporal partial epilepsy

    Andrea Bernasconi;Samson B. Antel;Donald L. Collins;Neda Bernasconi

  • White matter abnormalities across different epilepsy syndromes in adults: an ENIGMA-Epilepsy study.

    Sean N Hatton;Khoa H Huynh;Leonardo Bonilha;Eugenio Abela

  • Mapping limbic network organization in temporal lobe epilepsy using morphometric correlations: insights on the relation between mesiotemporal connectivity and cortical atrophy.

    Boris C. Bernhardt;Keith J. Worsley;Pierre Besson;Luis Concha

  • Thalamo-cortical network pathology in idiopathic generalized epilepsy: insights from MRI-based morphometric correlation analysis.

    Boris C. Bernhardt;Daniel A. Rozen;Keith J. Worsley;Keith J. Worsley;Alan C. Evans

  • Automated detection of cortical dysplasia type II in MRI-negative epilepsy

    Seok-Jun Hong;Hosung Kim;Dewi Schrader;Neda Bernasconi

  • Progression in temporal lobe epilepsy Differential atrophy in mesial temporal structures

    Neda Bernasconi;Jun Natsume;Andrea Bernasconi

  • Magnetic resonance spectroscopy and imaging of the thalamus in idiopathic generalized epilepsy

    A. Bernasconi;N. Bernasconi;J. Natsume;S. B. Antel

  • Automated detection of focal cortical dysplasia lesions using computational models of their MRI characteristics and texture analysis

    Samson B Antel;D.Louis Collins;Neda Bernasconi;Frederick Andermann

  • Network-based atrophy modeling in the common epilepsies: A worldwide ENIGMA study.

    Sara Larivière;Raúl Rodríguez-Cruces;Jessica Royer;Maria Eugenia Caligiuri

Frequent Co-Authors

Andrea Bernasconi
Andrea Bernasconi Montreal Neurological Institute and Hospital
Boris C. Bernhardt
Boris C. Bernhardt Montreal Neurological Institute and Hospital
Sara Lariviere
Sara Lariviere Brigham and Women's Hospital
Khalid Hamandi
Khalid Hamandi Cardiff University
Fernando Cendes
Fernando Cendes State University of Campinas
François Dubeau
François Dubeau McGill University
Luis Concha
Luis Concha National Autonomous University of Mexico
Jonathan Smallwood
Jonathan Smallwood Queen's University
Simon S. Keller
Simon S. Keller University of Liverpool
Graeme D. Jackson
Graeme D. Jackson Florey Institute of Neuroscience and Mental Health

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