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Vladimir S. Fonov

Vladimir S. Fonov

D-Index & Metrics

Engineering and Technology

D-Index
49
Citations
15126
World Ranking
4215
National Ranking
176

Vladimir S. Fonov publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Vladimir S. Fonov sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 179 publications — 39th percentile

39% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Vladimir S. Fonov D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Vladimir S. Fonov sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 49 D-Index — 57th percentile

57% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

Vladimir S. Fonov is affiliated with McGill University in Canada, specializing in research fields related to medicine and neuroscience. Their work spans multiple subfields including radiology, nuclear medicine and imaging, cognitive neuroscience, psychiatry and mental health, neurology, and physiology.

The research topics covered by Fonov include dementia and cognitive impairment research, functional brain connectivity studies, advanced neuroimaging techniques and applications, advanced MRI techniques and applications, Alzheimer's disease research and treatments, maternal mental health during pregnancy and postpartum, and genetics and neurodevelopmental disorders.

Fonov has contributed extensively to academic literature, including the following recent papers:

  • Association of Elevated Amyloid and Tau Positron Emission Tomography Signal With Near-Term Development of Alzheimer Disease Symptoms in Older Adults Without Cognitive Impairment, 2022, JAMA Neurology
  • CerebrA, registration and manual label correction of Mindboggle-101 atlas for MNI-ICBM152 template, 2020, Scientific Data
  • Subcortical Brain Development in Autism and Fragile X Syndrome: Evidence for Dynamic, Age- and Disorder-Specific Trajectories in Infancy, 2022, American Journal of Psychiatry
  • Newborn amygdalar volumes are associated with maternal prenatal psychological distress in a sex-dependent way, 2020, NeuroImage Clinical
  • Partial Support for an Interaction Between a Polygenic Risk Score for Major Depressive Disorder and Prenatal Maternal Depressive Symptoms on Infant Right Amygdalar Volumes, 2020, Cerebral Cortex

Frequent co-authors collaborating with Fonov include:

  • D. Louis Collins
  • Alan C. Evans
  • Mahsa Dadar
  • Pedro Rosa-Neto
  • Sylvia Villeneuve

Fonov has published prolifically in a variety of journals and conference venues. The most frequent publication venues include:

  • Alzheimer's & Dementia
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Human Brain Mapping
  • UNC Libraries
  • JAMA Neurology

Best Publications

  • Unbiased Average Age-Appropriate Atlases for Pediatric Studies

    Vladimir S. Fonov;Alan C. Evans;Kelly N. Botteron;C. Robert Almli

  • Unbiased nonlinear average age-appropriate brain templates from birth to adulthood

    VS Fonov;AC Evans;RC McKinstry;CR Almli

  • Early brain development in infants at high risk for autism spectrum disorder

    Heather Cody Hazlett;Hongbin Gu;Brent C. Munsell;Sun Hyung Kim

  • Patch-based segmentation using expert priors: application to hippocampus and ventricle segmentation.

    Pierrick Coupé;José V. Manjón;Vladimir S. Fonov;Jens C. Pruessner

  • SCT: Spinal Cord Toolbox, an open-source software for processing spinal cord MRI data

    Benjamin De Leener;Simon Lévy;Sara M. Dupont;Vladimir S. Fonov

  • BEaST: brain extraction based on nonlocal segmentation technique.

    Simon Fristed Eskildsen;Pierrick Coupé;Vladimir Fonov;José V. Manjón

  • Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: The CADDementia challenge

    Esther E. Bron;Marion Smits;Wiesje M. van der Flier;Hugo Vrenken

  • Prediction of Alzheimer's disease in subjects with mild cognitive impairment from the ADNI cohort using patterns of cortical thinning.

    Simon F. Eskildsen;Pierrick Coupé;Daniel García-Lorenzo;Vladimir S. Fonov

  • Non-local MRI upsampling.

    José V. Manjón;Pierrick Coupé;Antonio Buades;Vladimir S. Fonov

  • Network structure of brain atrophy in de novo Parkinson's disease

    Yashar Zeighami;Miguel Ulla;Yasser Iturria-Medina;Mahsa Dadar

  • Network connectivity determines cortical thinning in early Parkinson’s disease progression

    Y. Yau;Y. Zeighami;T. E. Baker;T. E. Baker;K. Larcher

  • PAM50: Unbiased multimodal template of the brainstem and spinal cord aligned with the ICBM152 space.

    Benjamin De Leener;Vladimir S. Fonov;D. Louis Collins;Virginie Callot

  • A new method for structural volume analysis of longitudinal brain MRI data and its application in studying the growth trajectories of anatomical brain structures in childhood.

    B. Aubert-Broche;V.S. Fonov;D. García-Lorenzo;D. García-Lorenzo;A. Mouiha

  • Benchmark on Automatic Six-Month-Old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge

    Li Wang;Dong Nie;Guannan Li;Elodie Puybareau

  • CERES: A new cerebellum lobule segmentation method.

    José E. Romero;Pierrick Coupé;Pierrick Coupé;Rémi Giraud;Vinh-Thong Ta;Vinh-Thong Ta

  • The effect of template choice on morphometric analysis of pediatric brain data.

    Uicheul Yoon;Vladimir S. Fonov;Daniel Perusse;Alan C. Evans

  • Simultaneous segmentation and grading of anatomical structures for patient's classification: application to Alzheimer's disease.

    Pierrick Coupé;Simon F. Eskildsen;José V. Manjón;Vladimir S. Fonov

  • A comparison of publicly available linear MRI stereotaxic registration techniques.

    Mahsa Dadar;Vladimir S. Fonov;D. Louis Collins;Alzheimer’s Disease Neuroimaging Initiative

  • Onset of multiple sclerosis before adulthood leads to failure of age-expected brain growth

    Bérengère Aubert-Broche;Vladimir Fonov;Sridar Narayanan;Douglas L. Arnold

  • Scoring by nonlocal image patch estimator for early detection of Alzheimer's disease

    Pierrick Coupé;Simon F. Eskildsen;José V. Manjón;Vladimir S. Fonov

  • Neural circuitry at age 6 months associated with later repetitive behavior and sensory responsiveness in autism.

    Jason J. Wolff;Meghan R. Swanson;Jed T. Elison;Guido Gerig

  • Network Connectivity Determines Cortical Thinning In Early Parkinson’s Disease Progression

    Yvonne H. C. Yau;Yashar Zeighami;Travis Baker;Kevin Larcher

Frequent Co-Authors

D. Louis Collins
D. Louis Collins McGill University
Pierrick Coupé
Pierrick Coupé University of Bordeaux
Pedro Rosa-Neto
Pedro Rosa-Neto McGill University
Serge Gauthier
Serge Gauthier McGill University
Alan C. Evans
Alan C. Evans McGill University
Douglas L. Arnold
Douglas L. Arnold Montreal Neurological Institute and Hospital
José V. Manjón
José V. Manjón Universitat Politècnica de València
Sridar Narayanan
Sridar Narayanan Montreal Neurological Institute and Hospital
Jens C. Pruessner
Jens C. Pruessner University of Konstanz
Martin Styner
Martin Styner University of North Carolina at Chapel Hill

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