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Computer Science
Switzerland
2025

D-Index & Metrics

Computer Science

D-Index
81
Citations
34016
World Ranking
997
National Ranking
25

Jean-Philippe Thiran 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 Jean-Philippe Thiran 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: 768 publications — 98th percentile

98% of scientists in this discipline score the same or lower.

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

Jean-Philippe Thiran 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 Jean-Philippe Thiran 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: 81 D-Index — 93rd percentile

93% 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 Switzerland Leader Award
  • 2022 - Research.com Computer Science in Switzerland Leader Award

Overview

Jean-Philippe Thiran is affiliated with École Polytechnique Fédérale de Lausanne in Switzerland. Their research spans medicine with a particular focus on radiology, nuclear medicine, and imaging. Within these fields, they have concentrated on specialized subfields including artificial intelligence, computer vision and pattern recognition, biomedical engineering, and cognitive neuroscience.

Their work covers a range of topics related to neuroimaging and medical imaging technologies. Key areas include advanced neuroimaging techniques and applications, advanced MRI techniques and applications, AI in cancer detection, functional brain connectivity studies, ultrasound imaging and elastography, radiomics and machine learning in medical imaging, and MRI in cancer diagnosis.

Several recent papers by Jean-Philippe Thiran illustrate their research focus:

  • Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset?, 2021, NeuroImage
  • Multiple sclerosis cortical and WM lesion segmentation at 3T MRI: a deep learning method based on FLAIR and MP2RAGE, 2020, NeuroImage Clinical
  • A new method for accurate in vivo mapping of human brain connections using microstructural and anatomical information, 2020, Science Advances
  • Axon morphology is modulated by the local environment and impacts the noninvasive investigation of its structure-function relationship, 2020, Proceedings of the National Academy of Sciences
  • Probing myelin content of the human brain with MRI: A review, 2020, Magnetic Resonance in Medicine

Jean-Philippe Thiran frequently collaborates with a number of scientists, demonstrating ongoing interdisciplinary contributions. Their frequent coauthors include Tobias Kober, Erick J. Canales-Rodríguez, Gabriel Girard, Tom Hilbert, and Behzad Bozorgtabar, each contributing to multiple publications.

Their work has been published extensively in various venues, notably:

  • arXiv (Cornell University)
  • Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
  • bioRxiv (Cold Spring Harbor Laboratory)
  • NeuroImage
  • Magnetic Resonance in Medicine

Best Publications

  • Predicting human resting-state functional connectivity from structural connectivity

    Ch. Honey;O. Sporns;Leila Cammoun;Xavier Gigandet

  • The challenge of mapping the human connectome based on diffusion tractography

    Klaus H. Maier-Hein;Peter F. Neher;Jean-Christophe Houde;Marc-Alexandre Cote

  • Fast Global Minimization of the Active Contour/Snake Model

    Xavier Bresson;Selim Esedoglu;Pierre Vandergheynst;Jean-Philippe Thiran

  • Understanding Diffusion MR Imaging Techniques: From Scalar Diffusion-weighted Imaging to Diffusion Tensor Imaging and Beyond

    Patric Hagmann;Lisa Jonasson;Philippe Maeder;Jean-Philippe Thiran

  • Mapping human whole-brain structural networks with diffusion MRI.

    Patric Hagmann;Patric Hagmann;Maciej Kurant;Xavier Gigandet;Patrick Thiran

  • White matter maturation reshapes structural connectivity in the late developing human brain

    P. Hagmann;O. Sporns;N. Madan;L. Cammoun

  • Prognostic accuracy of cerebral blood flow measurement by perfusion computed tomography, at the time of emergency room admission, in acute stroke patients.

    Max Wintermark;Marc Reichhart;Jean-Philippe Thiran;Philippe Maeder

  • Resting-brain functional connectivity predicted by analytic measures of network communication

    Joaquin Goni;Martijn P. Van Den Heuvel;Andrea Avena-Koenigsberger;Nieves Velez De Mendizabal

  • Accelerated Microstructure Imaging via Convex Optimization (AMICO) from diffusion MRI data

    Alessandro Daducci;Erick Jorge Canales-Rodriguez;Hui Zhang;Tim B. Dyrby

  • The BANCA database and evaluation protocol

    Enrique Bailly-Bailliére;Samy Bengio;Frédéric Bimbot;Miroslav Hamouz

  • A Surface-Based Approach to Quantify Local Cortical Gyrification

    M. Schaer;M.B. Cuadra;L. Tamarit;F. Lazeyras

  • Mapping the human connectome at multiple scales with diffusion spectrum MRI.

    Leila Cammoun;Xavier Gigandet;Djalel Eddine Meskaldji;Jean-Philippe Thiran

  • Distinct pathways involved in sound recognition and localization: A human fMRI study

    Philippe P. Maeder;Reto A. Meuli;Michela Adriani;Anne Bellmann;Anne Bellmann

  • Simultaneous measurement of regional cerebral blood flow by perfusion CT and stable xenon CT: a validation study.

    Max Wintermark;Jean-Philippe Thiran;Philippe Maeder;Pierre Schnyder

  • DTI mapping of human brain connectivity: statistical fibre tracking and virtual dissection.

    Patric Hagmann;Jean-Philippe Thiran;Lisa Jonasson;Pierre Vandergheynst

  • Comparison and validation of tissue modelization and statistical classification methods in T1-weighted MR brain images

    M.B. Cuadra;L. Cammoun;T. Butz;O. Cuisenaire

  • Comparison of Admission Perfusion Computed Tomography and Qualitative Diffusion- and Perfusion-Weighted Magnetic Resonance Imaging in Acute Stroke Patients

    M. Wintermark;M. Reichhart;O. Cuisenaire;P. Maeder

  • Structural connectomics in brain diseases.

    Alessandra Griffa;Philipp S. Baumann;Jean-Philippe Thiran;Jean-Philippe Thiran;Patric Hagmann;Patric Hagmann

  • Quantitative Assessment of Regional Cerebral Blood Flows by Perfusion CT Studies at Low Injection Rates: A Critical Review of the Underlying Theoretical Models

    M. Wintermark;P. Maeder;J.-P. Thiran;P. Schnyder

  • Generative models of the human connectome

    Richard F. Betzel;Andrea Avena-Koenigsberger;Joaquín Goñi;Ye He

  • MR connectomics: Principles and challenges

    Patric Hagmann;Patric Hagmann;Patric Hagmann;Leila Cammoun;Xavier Gigandet;Stephan Gerhard

  • The connectome mapper: an open-source processing pipeline to map connectomes with MRI.

    Alessandro Daducci;Stephan Gerhard;Alessandra Griffa;Alessandra Griffa;Alia Lemkaddem

  • Atlas-based segmentation of pathological MR brain images using a model of lesion growth

    M.B. Cuadra;C. Pollo;A. Bardera;O. Cuisenaire

  • Mapping the human connectome at multiple scales with diffusion spectrum MRI

    L. Cammoun;X. Gigandet;O. Sporns;J.P. Thiran

Frequent Co-Authors

Patric Hagmann
Patric Hagmann University of Lausanne
Alessandro Daducci
Alessandro Daducci University of Verona
Reto Meuli
Reto Meuli University of Lausanne
Yves Wiaux
Yves Wiaux Heriot-Watt University
Dimitri Van De Ville
Dimitri Van De Ville École Polytechnique Fédérale de Lausanne
Xavier Bresson
Xavier Bresson National University of Singapore
Philippe Maeder
Philippe Maeder University of Lausanne
Pierre Vandergheynst
Pierre Vandergheynst École Polytechnique Fédérale de Lausanne
Stephanie Clarke
Stephanie Clarke University Hospital of Lausanne
Hazim Kemal Ekenel
Hazim Kemal Ekenel Istanbul Technical University

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