World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
66
Citations
18075
World Ranking
2320
National Ranking
1157

Benoit M. Dawant publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Benoit M. Dawant sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 401 publications — 87th percentile

87% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Benoit M. Dawant D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Benoit M. Dawant sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 66 D-Index — 84th percentile

84% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Research.com Recognitions

  • 2010 - IEEE Fellow For contributionx to biomedical image analysis and image guided medical interventions

Overview

Benoit M. Dawant is affiliated with Vanderbilt University in the United States. Their research spans multiple fields within medicine and neuroscience, with significant contributions recorded across related subfields.

The main fields of study for Dawant include:

  • Medicine
  • Neuroscience

Their work further specializes in the following subfields:

  • Cognitive Neuroscience
  • Neurology
  • Radiology, Nuclear Medicine and Imaging
  • Sensory Systems
  • Cellular and Molecular Neuroscience

Dawant's research covers a range of topics, prominently including:

  • Hearing Loss and Rehabilitation
  • Neurological disorders and treatments
  • Hearing, Cochlea, Tinnitus, Genetics
  • EEG and Brain-Computer Interfaces
  • Parkinson's Disease Mechanisms and Treatments
  • Speech and Audio Processing
  • Functional Brain Connectivity Studies

Recent publication venues where Dawant has commonly contributed include:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Journal of neurosurgery
  • The Journal of the Acoustical Society of America
  • Journal of Medical Imaging

Frequent coauthors in their collaborative research include:

  • Dario J. Englot
  • Sarah K. Bick
  • Jack H. Noble
  • Graham W. Johnson
  • Christos Constantinidis

Some of the notable papers authored by Dawant are:

  • "Seizure-onset regions demonstrate high inward directed connectivity during resting-state: An SEEG study in focal epilepsy", 2020, published in Epilepsia
  • "The Interictal Suppression Hypothesis in focal epilepsy: network-level supporting evidence", 2023, published in Brain
  • "HeadLocNet: Deep convolutional neural networks for accurate classification and multi-landmark localization of head CTs", 2020, published in Medical Image Analysis
  • "Speech recognition with cochlear implants as a function of the number of channels: Effects of electrode placement", 2020, published in The Journal of the Acoustical Society of America
  • "Structural Correlates of the Sensorimotor Cerebellum in Parkinson's Disease and Essential Tremor", 2020, published in Movement Disorders

In 2010, Dawant was awarded the IEEE Fellow distinction for contributions to biomedical image analysis and image-guided medical interventions.

Best Publications

  • Morphometric analysis of white matter lesions in MR images: method and validation

    A.P. Zijdenbos;B.M. Dawant;R.A. Margolin;A.C. Palmer

  • Comparison and Evaluation of Methods for Liver Segmentation From CT Datasets

    T. Heimann;B. van Ginneken;M.A. Styner;Y. Arzhaeva

  • Comparison and Evaluation of Retrospective Intermodality Brain Image Registration Techniques

    West J;Fitzpatrick Jm;Wang My;Dawant Bm

  • The adaptive bases algorithm for intensity-based nonrigid image registration

    G.K. Rohde;A. Aldroubi;B.M. Dawant

  • Correction of intensity variations in MR images for computer-aided tissue classification

    B.M. Dawant;A.P. Zijdenbos;R.A. Margolin

  • Comparison and evaluation of retrospective intermodality image registration techniques

    Jay B. West;J. Michael Fitzpatrick;Matthew Yang Wang;Benoit M. Dawant

  • Apparatus and methods of optimal placement of deep brain stimulator

    Benoit M. Dawant

  • Neural-network-based segmentation of multi-modal medical images: a comparative and prospective study

    M. Ozkan;B.M. Dawant;R.J. Maciunas

  • Brain segmentation and white matter lesion detection in MR images.

    A P Zijdenbos;B M Dawant

  • Automatic 3-D segmentation of internal structures of the head in MR images using a combination of similarity and free-form transformations. I. Methodology and validation on normal subjects

    B.M. Dawant;S.L. Hartmann;J.-P. Thirion;F. Maes

  • Evaluation of segmentation methods on head and neck CT: Auto-segmentation challenge 2015

    Patrik F. Raudaschl;Paolo Zaffino;Gregory C. Sharp;Maria Francesca Spadea

  • Registration of 3-D images using weighted geometrical features

    C.R. Maurer;G.B. Aboutanos;B.M. Dawant;R.J. Maciunas

  • Electrode Location and Angular Insertion Depth Are Predictors of Audiologic Outcomes in Cochlear Implantation

    Brendan P. O’Connell;Ahmet Cakir;Jacob B. Hunter;David O. Francis

  • Retrospective intermodality registration techniques for images of the head: surface-based versus volume-based

    J. West;J.M. Fitzpatrick;M.Y. Wang;B.M. Dawant

  • Three-dimensional visualization of protein expression in mouse brain structures using imaging mass spectrometry

    Anna C. Crecelius;D. Shannon Cornett;Richard M. Caprioli;Betsy Williams

  • Automatic Segmentation of Intracochlear Anatomy in Conventional CT

    J. H. Noble;R. F. Labadie;O. Majdani;B. M. Dawant

  • Biomedical Image Registration

    Bernd Fischer;Benoît M. Dawant;Cristian Lorenz

  • Integrating spatially resolved three-dimensional MALDI IMS with in vivo magnetic resonance imaging.

    Tuhin K Sinha;Sheerin Khatib-Shahidi;Thomas E Yankeelov;Khubaib Mapara

  • Image-Guidance Enables New Methods for Customizing Cochlear Implant Stimulation Strategies

    Jack H. Noble;Robert F. Labadie;Renea H. Gifford;Benoit M. Dawant

  • Liver segmentation in living liver transplant donors : Comparison of semiautomatic and manual methods

    Laurent Hermoye;Ismael Laamari-Azjal;Zhujiang Cao;Laurence Annet

  • Concepts and Preliminary Data Toward the Realization of Image-guided Liver Surgery

    David M. Cash;David M. Cash;Michael I. Miga;Sean C. Glasgow;Benoit M. Dawant

Frequent Co-Authors

Michael I. Miga
Michael I. Miga Vanderbilt University
J. Michael Fitzpatrick
J. Michael Fitzpatrick Vanderbilt University
Robert L. Galloway
Robert L. Galloway Vanderbilt University
Bennett A. Landman
Bennett A. Landman Vanderbilt University
John C. Gore
John C. Gore Vanderbilt University Medical Center
Victoria L. Morgan
Victoria L. Morgan Vanderbilt University Medical Center
Robert M. Kessler
Robert M. Kessler University of Alabama at Birmingham
William C. Chapman
William C. Chapman Washington University in St. Louis
Dario J. Englot
Dario J. Englot Vanderbilt University Medical Center
Calvin R. Maurer
Calvin R. Maurer Stanford University

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