World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
53
Citations
11198
World Ranking
4827
National Ranking
2246

Yaron Lipman 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 Yaron Lipman 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: 117 publications — 14th percentile

14% of scientists in this discipline score the same or lower.

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

Yaron Lipman 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 Yaron Lipman 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: 53 D-Index — 67th percentile

67% of scientists in this discipline score the same or lower.

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

Overview

Yaron Lipman is affiliated with Facebook in the United States. Their research primarily focuses on areas within Computer Science and Engineering, with a significant body of work in subfields such as Computer Vision and Pattern Recognition, Computational Mechanics, and Artificial Intelligence.

The scientist's published work includes contributions to topics like 3D Shape Modeling and Analysis, Generative Adversarial Networks and Image Synthesis, and Computer Graphics and Visualization Techniques. Additional research interests encompass Advanced Numerical Analysis Techniques, Advanced Graph Neural Networks, Human Pose and Action Recognition, and Music and Audio Processing.

Some of the frequent co-authors with whom Yaron Lipman has collaborated are Matan Atzmon, Neta Shaul, Heli Ben-Hamu, Lior Yariv, and Ricky T. Q. Chen. These collaborative efforts have contributed to a diverse range of publications.

The scientist has published extensively in venues such as arXiv (Cornell University), which hosts a majority of their papers, alongside other venues including the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and the Proceedings of symposia in applied mathematics.

Representative recent publications include:

  • Flow Matching for Generative Modeling, 2022, arXiv (Cornell University)
  • Multiview Neural Surface Reconstruction by Disentangling Geometry and Appearance, 2020, arXiv (Cornell University)
  • MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation, 2023, arXiv (Cornell University)
  • Implicit Geometric Regularization for Learning Shapes, 2020, arXiv (Cornell University)
  • Weisfeiler and Leman go Machine Learning: The Story so far, 2021, arXiv (Cornell University)

Best Publications

  • Laplacian surface editing

    O. Sorkine;D. Cohen-Or;Y. Lipman;M. Alexa

  • Point convolutional neural networks by extension operators

    Matan Atzmon;Haggai Maron;Yaron Lipman

  • Blended intrinsic maps

    Vladimir G. Kim;Yaron Lipman;Thomas Funkhouser

  • Green Coordinates

    Yaron Lipman;David Levin;Daniel Cohen-Or

  • Linear rotation-invariant coordinates for meshes

    Yaron Lipman;Olga Sorkine;David Levin;Daniel Cohen-Or

  • Möbius voting for surface correspondence

    Yaron Lipman;Thomas Funkhouser

  • Differential coordinates for interactive mesh editing

    Y. Lipman;O. Sorkine;D. Cohen-Or;D. Levin

  • SAL: Sign Agnostic Learning of Shapes From Raw Data

    Matan Atzmon;Yaron Lipman

  • Coordinates for instant image cloning

    Zeev Farbman;Gil Hoffer;Yaron Lipman;Daniel Cohen-Or

  • Parameterization-free projection for geometry reconstruction

    Yaron Lipman;Daniel Cohen-Or;David Levin;Hillel Tal-Ezer

  • Convolutional neural networks on surfaces via seamless toric covers

    Haggai Maron;Meirav Galun;Noam Aigerman;Miri Trope

  • Differential Coordinates for Interactive Mesh Editing

    Yaron Lipman;Olga Sorkine;Daniel Cohen-Or;David Levin

  • Comparing Dirichlet Normal Surface Energy of Tooth Crowns, a New Technique of Molar Shape Quantification for Dietary Inference, With Previous Methods in Isolation and in Combination

    Jonathan M. Bunn;Doug M. Boyer;Doug M. Boyer;Yaron Lipman;Elizabeth M. St. Clair

  • Biharmonic distance

    Yaron Lipman;Raif M. Rustamov;Thomas A. Funkhouser

  • Algorithms to automatically quantify the geometric similarity of anatomical surfaces

    Doug M. Boyer;Doug M. Boyer;Yaron Lipman;Elizabeth St Clair;Jesus Puente

  • Flow Matching for Generative Modeling

    Unknown

  • Context-Aware Skeletal Shape Deformation

    Ofir Weber;Olga Sorkine;Yaron Lipman;Craig Gotsman

  • Bounded distortion mapping spaces for triangular meshes

    Yaron Lipman

  • GPU-assisted positive mean value coordinates for mesh deformations

    Yaron Lipman;Johannes Kopf;Daniel Cohen-Or;David Levin

  • Provably Powerful Graph Networks

    Haggai Maron;Heli Ben-Hamu;Hadar Serviansky;Yaron Lipman

  • Invariant and Equivariant Graph Networks

    Haggai Maron;Heli Ben-Hamu;Nadav Shamir;Yaron Lipman

  • On the Universality of Invariant Networks

    Haggai Maron;Ethan Fetaya;Nimrod Segol;Yaron Lipman

  • Laplacian Surface Editing

    Olga Sorkine;Yaron Lipman;Daniel Cohen-Or;Marc Alexa

  • Multiview Neural Surface Reconstruction by Disentangling Geometry and Appearance

    Lior Yariv;Yoni Kasten;Dror Moran;Meirav Galun

Frequent Co-Authors

Daniel Cohen-Or
Daniel Cohen-Or Tel Aviv University
David Levin
David Levin Tel Aviv University
Ronen Basri
Ronen Basri Weizmann Institute of Science
Ingrid Daubechies
Ingrid Daubechies Duke University
Thomas Funkhouser
Thomas Funkhouser Google (United States)
Olga Sorkine
Olga Sorkine ETH Zurich
Doug M. Boyer
Doug M. Boyer Duke University
Vladimir G. Kim
Vladimir G. Kim Adobe Systems (United States)
Hans-Peter Seidel
Hans-Peter Seidel Max Planck Institute for Informatics
Jukka Jernvall
Jukka Jernvall University of Helsinki

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