World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
68
Citations
38829
World Ranking
2020
National Ranking
1022

Ronald Fedkiw 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 Ronald Fedkiw 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: 159 publications — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Ronald Fedkiw 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 Ronald Fedkiw 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: 68 D-Index — 86th percentile

86% 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

  • 2003 - Fellow of Alfred P. Sloan Foundation

Overview

Ronald Fedkiw is affiliated with Stanford University in the United States. Their research primarily spans the fields of Computer Science and Engineering, with significant contributions in several subfields such as Computational Mechanics, Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Control and Systems Engineering, and Statistical and Nonlinear Physics.

The main topics covered in their work include 3D Shape Modeling and Analysis, Computer Graphics and Visualization Techniques, Human Pose and Action Recognition, Model Reduction and Neural Networks, Advanced Numerical Analysis Techniques, Advanced Vision and Imaging, and Robotic Path Planning Algorithms.

Fedkiw has published extensively, with frequent appearances in venues like arXiv (Cornell University), Journal of Computational Physics, Computer Graphics Forum, Proceedings of the ACM on Computer Graphics and Interactive Techniques, and SSRN Electronic Journal.

  • A Pixel-Based Framework for Data-Driven Clothing, 2020, Computer Graphics Forum
  • Addressing discontinuous root-finding for subsequent differentiability in machine learning, inverse problems, and control, 2023, Journal of Computational Physics
  • Recovering Geometric Information with Learned Texture Perturbations, 2021, Proceedings of the ACM on Computer Graphics and Interactive Techniques
  • Recovering Geometric Information with Learned Texture Perturbations, 2020, arXiv (Cornell University)
  • Skinning a Parameterization of Three-Dimensional Space for Neural Network Cloth, 2020, arXiv (Cornell University)

Collaborative work is a notable aspect of Fedkiw's research, with frequent co-authors including Joseph Teran, Yongxu Jin, Zhenglin Geng, Jane Y. Wu, and Yizhou Chen. These collaborations highlight a network of researchers working in related areas to advance topics in computational mechanics, graphics, and vision.

Among their distinctions, Ronald Fedkiw was named a Fellow of the Alfred P. Sloan Foundation in 2003.

Best Publications

  • Level Set Methods and Dynamic Implicit Surfaces

    Stanley Osher;Ronald Fedkiw

  • A Non-oscillatory Eulerian Approach to Interfaces in Multimaterial Flows (the Ghost Fluid Method)

    Ronald P Fedkiw;Tariq Aslam;Barry Merriman;Stanley Osher

  • Level set methods: an overview and some recent results

    Stanley Osher;Ronald P. Fedkiw

  • A hybrid particle level set method for improved interface capturing

    Douglas Enright;Ronald Fedkiw;Joel Ferziger;Ian Mitchell

  • Visual simulation of smoke

    Ronald Fedkiw;Jos Stam;Henrik Wann Jensen

  • Simulation of clothing with folds and wrinkles

    R. Bridson;S. Marino;R. Fedkiw

  • Practical animation of liquids

    Nick Foster;Ronald Fedkiw

  • Robust treatment of collisions, contact and friction for cloth animation

    Robert Bridson;Ronald Fedkiw;John Anderson

  • Animation and rendering of complex water surfaces

    Douglas Enright;Stephen Marschner;Ronald Fedkiw

  • A Boundary Condition Capturing Method for Multiphase Incompressible Flow

    Myungjoo Kang;Ronald P. Fedkiw;Xu-Dong Liu

  • Simulating water and smoke with an octree data structure

    Frank Losasso;Frédéric Gibou;Ron Fedkiw

  • A Boundary Condition Capturing Method for Poisson's Equation on Irregular Domains

    Xu-Dong Liu;Ronald P. Fedkiw;Myungjoo Kang

  • A second-order-accurate symmetric discretization of the Poisson equation on irregular domains

    Frederic Gibou;Ronald P. Fedkiw;Li-Tien Cheng;Myungjoo Kang

  • Fast surface reconstruction using the level set method

    Hong-Kai Zhao;S. Osher;R. Fedkiw

  • Physically based modeling and animation of fire

    Duc Quang Nguyen;Ronald Fedkiw;Henrik Wann Jensen

  • Invertible finite elements for robust simulation of large deformation

    G. Irving;J. Teran;R. Fedkiw

  • Automatic determination of facial muscle activations from sparse motion capture marker data

    Eftychios Sifakis;Igor Neverov;Ronald Fedkiw

  • A review of level-set methods and some recent applications

    Frédéric Gibou;Ronald Fedkiw;Stanley J. Osher

  • Nonconvex rigid bodies with stacking

    Eran Guendelman;Robert Bridson;Ronald Fedkiw

  • A vortex particle method for smoke, water and explosions

    Andrew Selle;Nick Rasmussen;Ronald Fedkiw

Frequent Co-Authors

Stanley Osher
Stanley Osher University of California, Los Angeles
Joseph Teran
Joseph Teran University of California, Los Angeles
Robert Bridson
Robert Bridson University of British Columbia
Frédéric Gibou
Frédéric Gibou University of California, Santa Barbara
Eftychios Sifakis
Eftychios Sifakis University of Wisconsin–Madison
Guillermo Sapiro
Guillermo Sapiro Princeton University
Henrik Wann Jensen
Henrik Wann Jensen University of California, San Diego
Russel E. Caflisch
Russel E. Caflisch Courant Institute of Mathematical Sciences
Hongkai Zhao
Hongkai Zhao Duke University
Joel H. Ferziger
Joel H. Ferziger Stanford University

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