World's Best Scientists 2026 revealed!
Award Badge
Computer Science
Switzerland
2025

D-Index & Metrics

Computer Science

D-Index
76
Citations
41940
World Ranking
1309
National Ranking
33

Pierre Vandergheynst 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 Pierre Vandergheynst 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: 457 publications — 91st percentile

91% of scientists in this discipline score the same or lower.

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

Pierre Vandergheynst 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 Pierre Vandergheynst 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: 76 D-Index — 91st percentile

91% 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

Pierre Vandergheynst is affiliated with the École Polytechnique Fédérale de Lausanne in Switzerland and specializes in research intersecting biochemistry, genetics, and molecular biology. Their contributions include a focus on molecular biology, artificial intelligence, materials chemistry, cognitive neuroscience, and computational theory and mathematics.

The scientist's work extensively covers areas such as protein structure and dynamics, RNA and protein synthesis mechanisms, neural dynamics and brain function, computational drug discovery methods, neural networks and applications, enzyme structure and function, and advanced graph neural networks.

Frequent collaborative partnerships have been formed with several researchers, including Bruno E. Correia, Stéphane Rosset, Andreas Loukas, Michaël Defferrard, and Michael M. Bronstein. These collaborations have contributed to a steady output of published works across several venues.

Publication activity has been notable in venues such as bioRxiv (Cold Spring Harbor Laboratory), arXiv (Cornell University), Zenodo (CERN European Organization for Nuclear Research), Nature Machine Intelligence, and Nature Methods. Notably, bioRxiv and arXiv stand out as primary channels for disseminating research findings.

Recent papers include the following:

  • Molecular set representation learning, 2024, published in Nature Machine Intelligence
  • MARBLE: interpretable representations of neural population dynamics using geometric deep learning, 2025, published in Nature Methods
  • Interpretable Inflammation Landscape of Circulating Immune cells, 2023, published in bioRxiv (Cold Spring Harbor Laboratory)
  • RosettaSurf-A surface-centric computational design approach, 2022, published in PLoS Computational Biology
  • Exploring "dark-matter" protein folds using deep learning, 2024, published in Cell Systems

This body of work reflects a multidisciplinary approach linking computational methods with biological processes and molecular structures.

Best Publications

  • Convolutional neural networks on graphs with fast localized spectral filtering

    Michaël Defferrard;Xavier Bresson;Pierre Vandergheynst

  • The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains

    David I Shuman;Sunil K. Narang;Pascal Frossard;Antonio Ortega

  • Geometric Deep Learning: Going beyond Euclidean data

    Michael M. Bronstein;Joan Bruna;Yann LeCun;Arthur Szlam

  • FREAK: Fast Retina Keypoint

    Alexandre Alahi;Raphael Ortiz;Pierre Vandergheynst

  • Wavelets on graphs via spectral graph theory

    David K. Hammond;Pierre Vandergheynst;Rémi Gribonval

  • Graph Signal Processing: Overview, Challenges, and Applications

    Antonio Ortega;Pascal Frossard;Jelena Kovacevic;Jose M. F. Moura

  • Fast Global Minimization of the Active Contour/Snake Model

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

  • Compressed Sensing for Real-Time Energy-Efficient ECG Compression on Wireless Body Sensor Nodes

    H. Mamaghanian;N. Khaled;D. Atienza;P. Vandergheynst

  • Structured Sequence Modeling with Graph Convolutional Recurrent Networks

    Youngjoo Seo;Michaël Defferrard;Pierre Vandergheynst;Xavier Bresson

  • Geodesic Convolutional Neural Networks on Riemannian Manifolds

    Jonathan Masci;Davide Boscaini;Michael M. Bronstein;Pierre Vandergheynst

  • Compressed Sensing and Redundant Dictionaries

    H. Rauhut;K. Schnass;P. Vandergheynst

  • Learning Laplacian Matrix in Smooth Graph Signal Representations

    Xiaowen Dong;Dorina Thanou;Pascal Frossard;Pierre Vandergheynst

  • Two-Dimensional Wavelets and their Relatives

    Jean-Pierre Antoine;Romain Murenzi;Pierre Vandergheynst;Syed Twareque Ali

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

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

  • Vertex-Frequency Analysis on Graphs

    David I Shuman;Benjamin Ricaud;Pierre Vandergheynst

  • GSPBOX: A toolbox for signal processing on graphs

    Nathanaël Perraudin;Johan Paratte;David Shuman;Lionel Martin

  • Compressed sensing imaging techniques for radio interferometry

    Yves Wiaux;Yves Wiaux;Laurent Jacques;Laurent Jacques;Gilles Puy;A. M. M. Scaife

  • Clustering on Multi-Layer Graphs via Subspace Analysis on Grassmann Manifolds

    Xiaowen Dong;Pascal Frossard;Pierre Vandergheynst;Nikolai Nefedov

  • Wavelets on the 2-sphere: A group-theoretical approach

    Jean-Pierre Antoine;Pierre Vandergheynst

  • Stationary Signal Processing on Graphs

    Nathanael Perraudin;Pierre Vandergheynst

  • FMA: A Dataset for Music Analysis.

    Michaël Defferrard;Kirell Benzi;Pierre Vandergheynst;Xavier Bresson

  • Two-Dimensional Wavelets and their Relatives: References

    Jean-Pierre Antoine;Romain Murenzi;Pierre Vandergheynst;Syed Twareque Ali

Frequent Co-Authors

Pascal Frossard
Pascal Frossard École Polytechnique Fédérale de Lausanne
Yves Wiaux
Yves Wiaux Heriot-Watt University
Xavier Bresson
Xavier Bresson National University of Singapore
Jean-Philippe Thiran
Jean-Philippe Thiran École Polytechnique Fédérale de Lausanne
Rémi Gribonval
Rémi Gribonval École Normale Supérieure de Lyon
Alexandre Alahi
Alexandre Alahi École Polytechnique Fédérale de Lausanne
Yusuf Leblebici
Yusuf Leblebici École Polytechnique Fédérale de Lausanne
Murat Kunt
Murat Kunt École Polytechnique Fédérale de Lausanne
Michael M. Bronstein
Michael M. Bronstein University of Oxford
David Hammond
David Hammond University of Waterloo

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring computer science in the USA opens access to a vast array of online degree options, catering to diverse academic goals and budgets. Students looking for affordability and flexibility might consider one of the cheapest masters degrees available online—these programs help minimize student debt while delivering quality education.

For those with leadership aspirations beyond computer science, specialized programs like a doctorate organizational leadership online offer advanced skills for executive roles. Alternatively, if you seek a swift entry into the tech workforce or want a foundational credential, earning the easiest associate degree can be a smart move, helping you get started faster.

Considering a doctorate? It’s wise to understand how much does a doctorate in education cost, as program expenses can vary widely. Whether you’re aiming for a quick entry point or the highest academic achievement, online pathways make launching or advancing your computer science career more accessible than ever.

Best Scientists Citing Pierre Vandergheynst

Trending Scientists

Recently Published Articles