World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
80
Citations
37779
World Ranking
1597
National Ranking
783

Douglas N. Greve 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 Douglas N. Greve 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: 199 publications — 62nd percentile

62% of scientists in this discipline score the same or lower.

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

Douglas N. Greve 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 Douglas N. Greve 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: 80 D-Index — 83rd percentile

83% of scientists in this discipline score the same or lower.

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

Overview

Douglas N. Greve is affiliated with Harvard University in the United States. Their research primarily focuses on the fields of Medicine and Neuroscience, with significant contributions to subfields including Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Computer Vision and Pattern Recognition, Psychiatry and Mental Health, and Neurology.

The scientist has authored numerous papers that highlight advanced techniques in neuroimaging and medical image analysis. Recent publications include:

  • SynthSeg: Segmentation of brain MRI scans of any contrast and resolution without retraining (2023, Medical Image Analysis)
  • A high-resolution in vivo atlas of the human brain's benzodiazepine binding site of GABAA receptors (2021, NeuroImage)
  • Deep grey matter injury in multiple sclerosis: a NAIMS consensus statement (2021, Brain)
  • Using diffusion MRI data acquired with ultra-high gradient strength to improve tractography in routine-quality data (2021, NeuroImage)
  • A deep learning toolbox for automatic segmentation of subcortical limbic structures from MRI images (2021, NeuroImage)

The scientist has published extensively in venues such as arXiv (Cornell University), bioRxiv (Cold Spring Harbor Laboratory), NeuroImage, UNC Libraries, and Medical Image Analysis.

Frequent co-authors collaborating with Douglas N. Greve include Juan Eugenio Iglesias, Bruce Fischl, Koen Van Leemput, Adrian V. Dalca, and Jean C. Augustinack. These collaborations reflect a network of research partners contributing to advancements in neuroimaging and related disciplines.

The research topics most commonly addressed by Douglas N. Greve cover a range of advanced neuroimaging and computational techniques, including:

  • Functional Brain Connectivity Studies
  • Advanced Neuroimaging Techniques and Applications
  • Advanced MRI Techniques and Applications
  • Medical Imaging Techniques and Applications
  • Medical Image Segmentation Techniques
  • Advanced Neural Network Applications
  • Radiomics and Machine Learning in Medical Imaging

Douglas N. Greve's work integrates advanced imaging methodologies with computational approaches such as deep learning and machine learning to support medical image segmentation and analysis of brain structure and function. Their research has facilitated improved understanding and processing of MRI data across varying contrasts and resolutions without the need for retraining models on new datasets.

Best Publications

  • Accurate and robust brain image alignment using boundary-based registration.

    Douglas N. Greve;Bruce Fischl

  • Meditation experience is associated with increased cortical thickness

    Sara W. Lazar;Catherine E. Kerr;Rachel H. Wasserman;Jeremy R. Gray

  • Thinning of the cerebral cortex in aging

    David H. Salat;Randy L. Buckner;Randy L. Buckner;Abraham Z. Snyder;Douglas N. Greve

  • Reliability in multi-site structural MRI studies: Effects of gradient non-linearity correction on phantom and human data

    Jorge Jovicich;Silvester Czanner;Douglas N. Greve;Elizabeth Haley

  • Dorsal anterior cingulate cortex: A role in reward-based decision making

    George Bush;Brent A. Vogt;Jennifer Holmes;Anders M. Dale

  • The Cortical Signature of Alzheimer's Disease: Regionally Specific Cortical Thinning Relates to Symptom Severity in Very Mild to Mild AD Dementia and is Detectable in Asymptomatic Amyloid-Positive Individuals

    Bradford C. Dickerson;Akram Bakkour;David H. Salat;Eric Feczko

  • Increased hippocampal activation in mild cognitive impairment compared to normal aging and AD

    B. C. Dickerson;D. H. Salat;D. N. Greve;E. F. Chua

  • Age-related alterations in white matter microstructure measured by diffusion tensor imaging.

    D.H. Salat;D.S. Tuch;D.N. Greve;A.J.W. van der Kouwe

  • Common genetic variants influence human subcortical brain structures.

    Derrek P. Hibar;Jason L. Stein;Jason L. Stein;Miguel E. Renteria;Alejandro Arias-Vasquez

  • High Consistency of Regional Cortical Thinning in Aging across Multiple Samples

    Anders M. Fjell;Lars T. Westlye;Inge Amlien;Thomas Espeseth

  • Medial temporal lobe function and structure in mild cognitive impairment

    Bradford C. Dickerson;David H. Salat;Julianna F. Bates;Monika Atiya

  • Consistent neuroanatomical age-related volume differences across multiple samples.

    Kristine B. Walhovd;Lars T. Westlye;Inge Amlien;Thomas Espeseth

  • Cortical Mechanisms Specific to Explicit Visual Object Recognition

    Moshe Bar;Roger B.H Tootell;Daniel L Schacter;Doug N Greve

  • Cerebral cortex and the clinical expression of Huntington's disease: complexity and heterogeneity.

    H. Diana Rosas;David H. Salat;Stephanie Y. Lee;Alexandra K. Zaleta

  • Extending the Human Connectome Project across ages: Imaging protocols for the Lifespan Development and Aging projects

    Michael P. Harms;Leah H. Somerville;Beau M. Ances;Jesper Andersson

  • Automated MRI measures identify individuals with mild cognitive impairment and Alzheimer's disease

    Rahul S. Desikan;Rahul S. Desikan;Howard J. Cabral;Christopher P. Hess;William P. Dillon

  • Laminar analysis of 7 T BOLD using an imposed spatial activation pattern in human V1

    Jonathan R. Polimeni;Bruce Fischl;Bruce Fischl;Douglas N. Greve;Lawrence L. Wald;Lawrence L. Wald

  • A probabilistic atlas of the human thalamic nuclei combining ex vivo MRI and histology.

    Juan Eugenio Iglesias;Ricardo Insausti;Garikoitz Lerma-Usabiaga;Martina Bocchetta

  • Statistical analysis of longitudinal neuroimage data with Linear Mixed Effects models.

    Jorge L. Bernal-Rusiel;Douglas N. Greve;Martin Reuter;Bruce Fischl

  • The Lifespan Human Connectome Project in Aging: An overview.

    Susan Y. Bookheimer;David H. Salat;Melissa Terpstra;Beau M. Ances

  • Working memory and DLPFC inefficiency in schizophrenia: The FBIRN study

    S. G. Potkin;J. A. Turner;G. G. Brown;G. McCarthy

Frequent Co-Authors

Bruce Fischl
Bruce Fischl Harvard University
David H. Salat
David H. Salat Harvard University
Anders M. Dale
Anders M. Dale J. Craig Venter Institute
Jessica A. Turner
Jessica A. Turner The Ohio State University
Vince D. Calhoun
Vince D. Calhoun Georgia State University
Steven G. Potkin
Steven G. Potkin University of California, Irvine
Daniel H. Mathalon
Daniel H. Mathalon University of California, San Francisco
Randy L. Buckner
Randy L. Buckner Harvard University
Reisa A. Sperling
Reisa A. Sperling Brigham and Women's Hospital
Ingrid Agartz
Ingrid Agartz University of Oslo

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