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Computer Science
France
2025

D-Index & Metrics

Computer Science

D-Index
75
Citations
28162
World Ranking
1390
National Ranking
19

Xavier Pennec 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 Xavier Pennec 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: 379 publications — 85th percentile

85% of scientists in this discipline score the same or lower.

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

Xavier Pennec 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 Xavier Pennec 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: 75 D-Index — 90th percentile

90% 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

  • 2025 - Research.com Computer Science in France Leader Award
  • 2023 - Research.com Computer Science in France Leader Award
  • 2022 - Research.com Computer Science in France Leader Award

Overview

Xavier Pennec is affiliated with the French Institute for Research in Computer Science and Automation (INRIA) in France. Their research spans multiple fields, primarily focusing on mathematics, computer science, and medicine.

The scientist's work addresses a variety of specialized topics, including:

  • Morphological variations and asymmetry
  • Advanced Neuroimaging Techniques and Applications
  • Geometric Analysis and Curvature Flows
  • Advanced Differential Geometry Research
  • Ophthalmology and Eye Disorders
  • Topological and Geometric Data Analysis
  • 3D Shape Modeling and Analysis

Pennec has contributed to research in several subfields, with publications mainly in:

  • Geometry and Topology
  • Applied Mathematics
  • Computer Vision and Pattern Recognition
  • Radiology, Nuclear Medicine and Imaging
  • Artificial Intelligence

The body of published work includes studies appearing in notable venues such as:

  • arXiv (Cornell University)
  • SIAM Journal on Matrix Analysis and Applications
  • Differential Geometry and its Applications
  • Lecture Notes in Computer Science
  • JAMA Network Open

Among the recent publications are:

  • "Geomstats: A Python Package for Riemannian Geometry in Machine Learning" (2020), published in arXiv (Cornell University)
  • "Association of Immunosuppression and Viral Load With Subcortical Brain Volume in an International Sample of People Living With HIV" (2021), published in JAMA Network Open
  • "O(n)-invariant Riemannian metrics on SPD matrices" (2022), published in Linear Algebra and its Applications
  • "Left atrial shape is independent predictor of arrhythmia recurrence after catheter ablation for atrial fibrillation: A shape statistics study" (2021), published in Heart Rhythm O2
  • "Voxel-based assessments of treatment effects on longitudinal brain changes in the Multidomain Alzheimer Preventive Trial cohort" (2020), published in Neurobiology of Aging

Frequent collaborators include:

  • Yann Thanwerdas
  • Nicolas Guigui
  • Tom Szwagier
  • Nina Miolane
  • Christian Shewmake

Best Publications

  • Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?

    Olivier Bernard;Alain Lalande;Clement Zotti;Frederick Cervenansky

  • Diffeomorphic demons: efficient non-parametric image registration.

    Tom Vercauteren;Xavier Pennec;Aymeric Perchant;Nicholas Ayache

  • A Riemannian Framework for Tensor Computing

    Xavier Pennec;Pierre Fillard;Nicholas Ayache

  • Comparison and Evaluation of Retrospective Intermodality Brain Image Registration Techniques

    West J;Fitzpatrick Jm;Wang My;Dawant Bm

  • Intrinsic Statistics on Riemannian Manifolds: Basic Tools for Geometric Measurements

    Xavier Pennec

  • The Correlation Ratio as a New Similarity Measure for Multimodal Image Registration

    Alexis Roche;Grégoire Malandain;Xavier Pennec;Nicholas Ayache

  • Reconstructing a 3D structure from serial histological sections

    Sébastien Ourselin;Alexis Roche;Gérard Subsol;Xavier Pennec

  • A log-euclidean framework for statistics on diffeomorphisms

    Vincent Arsigny;Olivier Commowick;Xavier Pennec;Nicholas Ayache

  • Multi-scale EM-ICP: A Fast and Robust Approach for Surface Registration

    Sébastien Granger;Xavier Pennec

  • Non-parametric diffeomorphic image registration with the demons algorithm

    Tom Vercauteren;Xavier Pennec;Aymeric Perchant;Nicholas Ayache

  • Symmetric Log-Domain Diffeomorphic Registration: A Demons-Based Approach

    Tom Vercauteren;Xavier Pennec;Aymeric Perchant;Nicholas Ayache

  • Rigid registration of 3-D ultrasound with MR images: a new approach combining intensity and gradient information

    A. Roche;X. Pennec;G. Malandain;N. Ayache

  • Comparison and evaluation of retrospective intermodality image registration techniques

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

  • Understanding the Demon's Algorithm: 3D Non-rigid Registration by Gradient Descent

    Xavier Pennec;Pascal Cachier;Nicholas Ayache

  • Iconic feature based nonrigid registration: the PASHA algorithm

    Pascal Cachier;Eric Bardinet;Didier Dormont;Xavier Pennec

  • Clinical DT-MRI Estimation, Smoothing, and Fiber Tracking With Log-Euclidean Metrics

    P. Fillard;X. Pennec;V. Arsigny;N. Ayache

  • SVF-Net: Learning Deformable Image Registration Using Shape Matching

    Marc-Michel Rohé;Manasi Datar;Tobias Heimann;Maxime Sermesant

  • Fast and simple calculus on tensors in the log-euclidean framework

    Vincent Arsigny;Pierre Fillard;Xavier Pennec;Nicholas Ayache

  • Flexible and Efficient Workflow Deployment of Data-Intensive Applications On Grids With MOTEUR

    Tristan Glatard;Johan Montagnat;Diane Lingrand;Xavier Pennec

  • A Framework for Uncertainty and Validation of 3-D RegistrationMethods Based on Points and Frames

    Xavier Pennec;Jean-Philippe Thirion

  • Clinical DT-MRI estimation, smoothing and fiber tracking with Log-Euclidean metrics

    P. Fillard;V. Arsigny;X. Pennec;N. Ayache

Frequent Co-Authors

Nicholas Ayache
Nicholas Ayache French Institute for Research in Computer Science and Automation - INRIA
Maxime Sermesant
Maxime Sermesant Université Côte d'Azur
Hervé Delingette
Hervé Delingette French Institute for Research in Computer Science and Automation - INRIA
Paul M. Thompson
Paul M. Thompson University of Southern California
Grégoire Malandain
Grégoire Malandain French Institute for Research in Computer Science and Automation - INRIA
Johan Montagnat
Johan Montagnat Centre national de la recherche scientifique, CNRS
Katie L. McMahon
Katie L. McMahon Queensland University of Technology
Tristan Glatard
Tristan Glatard Concordia University
Margaret J. Wright
Margaret J. Wright University of Queensland
Arthur W. Toga
Arthur W. Toga University of Southern California

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