World's Best Scientists 2026 revealed!
Andrea Tagliasacchi

Andrea Tagliasacchi

D-Index & Metrics

Computer Science

D-Index
43
Citations
9638
World Ranking
7872
National Ranking
316

Andrea Tagliasacchi 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 Andrea Tagliasacchi 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: 155 publications — 29th percentile

29% of scientists in this discipline score the same or lower.

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

Andrea Tagliasacchi 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 Andrea Tagliasacchi 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: 43 D-Index — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Overview

Andrea Tagliasacchi is affiliated with Simon Fraser University in Canada and has contributed extensively to the fields of computer science and engineering. Their research primarily covers areas in computer vision, computational mechanics, artificial intelligence, and aerospace engineering.

The scientist's work frequently appears in prominent publication venues, including:

  • arXiv (Cornell University)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • ACM Transactions on Graphics
  • 2022 International Conference on Robotics and Automation (ICRA)

Their research spans multiple subfields, such as:

  • Computer Vision and Pattern Recognition
  • Computational Mechanics
  • Computer Graphics and Computer-Aided Design
  • Artificial Intelligence
  • Aerospace Engineering

Key topics in Andrea Tagliasacchi's work include:

  • 3D Shape Modeling and Analysis
  • Advanced Vision and Imaging
  • Computer Graphics and Visualization Techniques
  • Human Pose and Action Recognition
  • Generative Adversarial Networks and Image Synthesis
  • 3D Surveying and Cultural Heritage
  • Advanced Numerical Analysis Techniques

Some of their recent papers are:

  • COTR: Correspondence Transformer for Matching Across Images, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Panoptic Neural Fields: A Semantic Object-Aware Neural Scene Representation, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Vector Neurons: A General Framework for SO(3)-Equivariant Networks, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Kubric: A scalable dataset generator, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Neural Descriptor Fields: SE(3)-Equivariant Object Representations for Manipulation, 2022, 2022 International Conference on Robotics and Automation (ICRA)

Andrea Tagliasacchi has collaborated frequently with several researchers, notably including:

  • Kwang Moo Yi
  • Daniel Rebain
  • Leonidas Guibas
  • Sara Sabour
  • David J. Fleet

Best Publications

  • Sparse iterative closest point

    Sofien Bouaziz;Andrea Tagliasacchi;Mark Pauly

  • A Survey of Surface Reconstruction from Point Clouds

    Matthew Berger;Andrea Tagliasacchi;Lee M. Seversky;Pierre Alliez

  • Point Cloud Skeletons via Laplacian Based Contraction

    Junjie Cao;Andrea Tagliasacchi;Matt Olson;Hao Zhang

  • MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures

    Unknown

  • Curve skeleton extraction from incomplete point cloud

    Andrea Tagliasacchi;Hao Zhang;Daniel Cohen-Or

  • State of the Art in Surface Reconstruction from Point Clouds

    Matthew Berger;Andrea Tagliasacchi;Lee M. Seversky;Pierre Alliez

  • OpenScene: 3D Scene Understanding with Open Vocabularies

    Unknown

  • Panoptic Neural Fields: A Semantic Object-Aware Neural Scene Representation

    Unknown

  • Kubric: A scalable dataset generator

    Unknown

  • BSP-Net: Generating Compact Meshes via Binary Space Partitioning

    Zhiqin Chen;Andrea Tagliasacchi;Hao Zhang

  • Mean Curvature Skeletons

    Andrea Tagliasacchi;Ibraheem Alhashim;Matt Olson;Hao Zhang

  • COTR: Correspondence Transformer for Matching Across Images

    Wei Jiang;Eduard Trulls;Jan Hosang;Andrea Tagliasacchi

  • 3D skeletons: a state-of-the-art report

    Andrea Tagliasacchi;Thomas Delame;Michela Spagnuolo;Nina Amenta

  • Neural Descriptor Fields: SE(3)-Equivariant Object Representations for Manipulation

    Unknown

  • Robust articulated-ICP for real-time hand tracking

    Andrea Tagliasacchi;Matthias Schröder;Anastasia Tkach;Sofien Bouaziz

  • Deformation-driven shape correspondence

    H. Zhang;A. Sheffer;D. Cohen-Or;Q. Zhou

  • CvxNet: Learnable Convex Decomposition

    Boyang Deng;Kyle Genova;Soroosh Yazdani;Sofien Bouaziz

  • NASA: Neural Articulated Shape Approximation

    Boyang Deng;John P. Lewis;Timothy Jeruzalski;Gerard Pons-Moll

  • Novel View Synthesis with Diffusion Models

    Unknown

  • Vector Neurons: A General Framework for SO(3)-Equivariant Networks

    Congyue Deng;Or Litany;Yueqi Duan;Adrien Poulenard

  • ACNe: Attentive Context Normalization for Robust Permutation-Equivariant Learning

    Weiwei Sun;Wei Jiang;Eduard Trulls;Andrea Tagliasacchi

  • Sphere-meshes for real-time hand modeling and tracking

    Anastasia Tkach;Mark Pauly;Andrea Tagliasacchi

  • High-contrast computational caustic design

    Yuliy Schwartzburg;Romain Testuz;Andrea Tagliasacchi;Mark Pauly

  • DeRF: Decomposed Radiance Fields

    Daniel Rebain;Wei Jiang;Soroosh Yazdani;Ke Li

  • Partial intrinsic reflectional symmetry of 3D shapes

    Kai Xu;Hao Zhang;Andrea Tagliasacchi;Ligang Liu

  • Prior Knowledge for Part Correspondence

    Oliver van Kaick;Andrea Tagliasacchi;Oana Sidi;Hao Zhang

Frequent Co-Authors

Shahram Izadi
Shahram Izadi Google (United States)
Hao Zhang
Hao Zhang Simon Fraser University
Sean Ryan Fanello
Sean Ryan Fanello Google (United States)
Mark Pauly
Mark Pauly École Polytechnique Fédérale de Lausanne
Geoffrey E. Hinton
Geoffrey E. Hinton University of Toronto
Christian Theobalt
Christian Theobalt Max Planck Institute for Informatics
Daniel Cohen-Or
Daniel Cohen-Or Tel Aviv University
Leonidas J. Guibas
Leonidas J. Guibas Stanford University
Christoph Rhemann
Christoph Rhemann Google (United States)
Vincent Lepetit
Vincent Lepetit École des Ponts ParisTech

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