World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
6234
World Ranking
10702
National Ranking
424

Alec Jacobson 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 Alec Jacobson 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: 173 publications — 36th percentile

36% of scientists in this discipline score the same or lower.

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

Alec Jacobson 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 Alec Jacobson 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: 37 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Overview

Alec Jacobson is affiliated with the University of Toronto in Canada and has made significant contributions in the fields of Engineering and Computer Science. Their work spans multiple subfields including Computational Mechanics, Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Artificial Intelligence, and Control and Systems Engineering.

Their research covers a diverse range of topics, primarily focusing on 3D Shape Modeling and Analysis, Computer Graphics and Visualization Techniques, Advanced Numerical Analysis Techniques, Computational Geometry and Mesh Generation, Advanced Vision and Imaging, Image Processing and 3D Reconstruction, and Human Motion and Animation.

Alec Jacobson's recent publications include:

  • Large steps in inverse rendering of geometry, 2021, ACM Transactions on Graphics
  • Learning Deformable Tetrahedral Meshes for 3D Reconstruction, 2020, arXiv (Cornell University)
  • Neural subdivision, 2020, ACM Transactions on Graphics
  • On the Effectiveness of Weight-Encoded Neural Implicit 3D Shapes, 2020, arXiv (Cornell University)
  • Spelunking the deep, 2022, ACM Transactions on Graphics

Frequent collaborators include Hsueh-Ti Derek Liu, Silvia Sellán, Nicholas Sharp, David I. W. Levin, and Jiayi Eris Zhang. These partnerships have resulted in a sustained output of research across various venues.

Alec Jacobson's publications are often found in the following venues:

  • arXiv (Cornell University)
  • ACM Transactions on Graphics
  • Computer Graphics Forum
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology)

The academic output is marked by contributions to computational and graphical methodologies, including numerical techniques and 3D reconstruction processes. The work involves interdisciplinary approaches bridging engineering principles with computer science theories, particularly in graphical representations and vision systems.

Best Publications

  • Bounded biharmonic weights for real-time deformation

    Alec Jacobson;Ilya Baran;Jovan Popović;Olga Sorkine

  • Neural Geometric Level of Detail: Real-time Rendering with Implicit 3D Shapes

    Towaki Takikawa;Joey Litalien;Kangxue Yin;Karsten Kreis

  • Bounded biharmonic weights for real-time deformation

    Unknown

  • Tetrahedral meshing in the wild

    Yixin Hu;Qingnan Zhou;Xifeng Gao;Alec Jacobson

  • Thingi10K: A Dataset of 10, 000 3D-Printing Models.

    Qingnan Zhou;Alec Jacobson

  • libigl: prototyping geometry processing research in C++

    Alec Jacobson;Daniele Panozzo

  • Robust inside-outside segmentation using generalized winding numbers

    Alec Jacobson;Ladislav Kavan;Olga Sorkine-Hornung

  • Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer

    Wenzheng Chen;Jun Gao;Huan Ling;Edward J. Smith

  • Mesh arrangements for solid geometry

    Qingnan Zhou;Eitan Grinspun;Denis Zorin;Alec Jacobson

  • Fast automatic skinning transformations

    Alec Jacobson;Ilya Baran;Ladislav Kavan;Jovan Popović

  • Variable Bitrate Neural Fields

    Unknown

  • Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer

    Wenzheng Chen;Huan Ling;Jun Gao;Edward J. Smith

  • Fast winding numbers for soups and clouds

    Gavin Barill;Neil G. Dickson;Ryan Schmidt;David I. W. Levin

  • Linear subspace design for real-time shape deformation

    Yu Wang;Alec Jacobson;Jernej Barbič;Ladislav Kavan

  • Skinning: real-time shape deformation

    Alec Jacobson;Yotam Gingold

  • Skinning: real-time shape deformation (full text not available)

    Alec Jacobson;Zhigang Deng;Ladislav Kavan;J. P. Lewis

  • Large steps in inverse rendering of geometry

    Unknown

  • Stretchable and Twistable Bones for Skeletal Shape Deformation

    Alec Jacobson;Olga Sorkine

  • Learning Smooth Neural Functions via Lipschitz Regularization

    Unknown

  • Ink-and-ray: Bas-relief meshes for adding global illumination effects to hand-drawn characters

    Daniel Sýkora;Ladislav Kavan;Martin Čadík;Ondřej Jamriška

  • Tangible and modular input device for character articulation

    Alec Jacobson;Daniele Panozzo;Oliver Glauser;Cédric Pradalier

  • Beyond Pixel Norm-Balls: Parametric Adversaries using an Analytically Differentiable Renderer

    Hsueh-Ti Derek Liu;Michael Tao;Chun-Liang Li;Derek Nowrouzezahrai

  • Latent‐space Dynamics for Reduced Deformable Simulation

    Lawson Fulton;Vismay Modi;David Duvenaud;David I. W. Levin

  • Learning Deformable Tetrahedral Meshes for 3D Reconstruction

    Jun Gao;Wenzheng Chen;Tommy Xiang;Alec Jacobson

Frequent Co-Authors

Eitan Grinspun
Eitan Grinspun Columbia University
Daniele Panozzo
Daniele Panozzo New York University
Karan Singh
Karan Singh University of Toronto
Derek Nowrouzezahrai
Derek Nowrouzezahrai McGill University
Ladislav Kavan
Ladislav Kavan University of Utah
Sanja Fidler
Sanja Fidler University of Toronto
Olga Sorkine
Olga Sorkine ETH Zurich
Otmar Hilliges
Otmar Hilliges ETH Zurich
Denis Zorin
Denis Zorin New York University
Jovan Popović
Jovan Popović Adobe Systems (United States)

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