World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
7025
World Ranking
10143
National Ranking
4276

Steve Marschner 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 Steve Marschner 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: 134 publications — 20th percentile

20% of scientists in this discipline score the same or lower.

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

Steve Marschner 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 Steve Marschner 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: 38 D-Index — 30th percentile

30% 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

  • 2006 - Fellow of Alfred P. Sloan Foundation

Overview

Steve Marschner is affiliated with Cornell University in the United States. Their research spans primarily across computer science and engineering, with an emphasis on computer vision, computer graphics, and computational mechanics. The scientist's work also engages with human-computer interaction and biomedical engineering as subfields of study.

The main topics covered in their research include computer graphics and visualization techniques, 3D shape modeling and analysis, image enhancement techniques, optical measurement and interference techniques, interactive and immersive displays, textile materials and evaluations, and advanced vision and imaging.

The scientist has contributed numerous papers, notably published in prominent venues such as ACM Transactions on Graphics, arXiv (Cornell University), Chemical Engineering and Processing - Process Intensification, Proceedings of the ACM on Computer Graphics and Interactive Techniques, and Computer Graphics Forum.

  • Weavecraft (2020, ACM Transactions on Graphics)
  • Automatic structure synthesis for 3D woven relief (2020, ACM Transactions on Graphics)
  • Gas-liquid flow in small channels: Artificial neural network classifiers for flow regime prediction (2021, Chemical Engineering and Processing - Process Intensification)
  • A wave optics based fiber scattering model (2020, ACM Transactions on Graphics)
  • Path graphs (2021, ACM Transactions on Graphics)

The scientist has worked frequently with several co-authors including Bruce Walter, Joy Xiaoji Zhang, Mengqi Xia, Brooks Hagan, and Eric Michielssen.

In terms of publication locations, the most common outlet has been ACM Transactions on Graphics, with eight publications, followed by seven papers on arXiv affiliated with Cornell University.

Steve Marschner was awarded the title of Fellow by the Alfred P. Sloan Foundation in 2006.

Best Publications

  • A practical model for subsurface light transport

    Henrik Wann Jensen;Stephen R. Marschner;Marc Levoy;Pat Hanrahan

  • Animation and rendering of complex water surfaces

    Douglas Enright;Stephen Marschner;Ronald Fedkiw

  • Fundamentals of Computer Graphics

    Peter Shirley;Michael Ashikhmin;Steve Marschner

  • Filling holes in complex surfaces using volumetric diffusion

    J. Davis;S.R. Marschner;M. Garr;M. Levoy

  • Matching Real Fabrics with Micro-Appearance Models

    Pramook Khungurn;Daniel Schroeder;Shuang Zhao;Kavita Bala

  • Microstructures to control elasticity in 3D printing

    Christian Schumacher;Bernd Bickel;Jan Rys;Steve Marschner

  • Image-based BRDF measurement including human skin

    Stephen R. Marschner;Stephen H. Westin;Eric P. F. Lafortune;Kenneth E. Torrance

  • Dual photography

    Pradeep Sen;Billy Chen;Gaurav Garg;Stephen R. Marschner

  • Light scattering from human hair fibers

    Stephen R. Marschner;Henrik Wann Jensen;Mike Cammarano;Steve Worley

  • An evaluation of reconstruction filters for volume rendering

    Unknown

  • A Survey on Hair Modeling: Styling, Simulation, and Rendering

    K. Ward;F. Bertails;Tae-Yong Kim;S.R. Marschner

  • Simulating knitted cloth at the yarn level

    Jonathan M. Kaldor;Doug L. James;Steve Marschner

  • Stitch meshes for modeling knitted clothing with yarn-level detail

    Cem Yuksel;Jonathan M. Kaldor;Doug L. James;Steve Marschner

  • Manifold exploration: a Markov Chain Monte Carlo technique for rendering scenes with difficult specular transport

    Wenzel Jakob;Steve Marschner

  • A radiative transfer framework for rendering materials with anisotropic structure

    Wenzel Jakob;Adam Arbree;Jonathan T. Moon;Kavita Bala

  • Data-Driven Estimation of Cloth Simulation Models

    E. Miguel;D. Bradley;B. Thomaszewski;B. Bickel

  • Efficient yarn-based cloth with adaptive contact linearization

    Jonathan M. Kaldor;Doug L. James;Steve Marschner

  • A comprehensive framework for rendering layered materials

    Wenzel Jakob;Eugene d'Eon;Otto Jakob;Steve Marschner

  • Building volumetric appearance models of fabric using micro CT imaging

    Shuang Zhao;Wenzel Jakob;Steve Marschner;Kavita Bala

  • Fundamentals of Computer Graphics

    Unknown

  • On-The-Fly Print: Incremental Printing While Modelling

    Huaishu Peng;Rundong Wu;Steve Marschner;François Guimbretière

  • Printing arbitrary meshes with a 5DOF wireframe printer

    Rundong Wu;Huaishu Peng;François Guimbretière;Steve Marschner

  • Rendering glints on high-resolution normal-mapped specular surfaces

    Ling-Qi Yan;Miloš Hašan;Wenzel Jakob;Jason Lawrence

  • Coupled 3D reconstruction of sparse facial hair and skin

    Thabo Beeler;Bernd Bickel;Gioacchino Noris;Paul Beardsley

  • Simulating knitted cloth at the yarn level

    Unknown

  • Discrete stochastic microfacet models

    Wenzel Jakob;Miloš Hašan;Ling-Qi Yan;Jason Lawrence

  • A radiative transfer framework for rendering materials with anisotropic structure: Expanded Technical Report

    Wenzel Jakob;Adam Arbree;Jonathan T. Moon;Kavita Bala

Frequent Co-Authors

Wenzel Jakob
Wenzel Jakob École Polytechnique Fédérale de Lausanne
Bernd Bickel
Bernd Bickel ETH Zurich
Kavita Bala
Kavita Bala Cornell University
Bruce Walter
Bruce Walter Cornell University
Doug L. James
Doug L. James Stanford University
Ravi Ramamoorthi
Ravi Ramamoorthi University of California, San Diego
Peter Shirley
Peter Shirley Nvidia (United States)
Markus Gross
Markus Gross ETH Zurich
Wojciech Jarosz
Wojciech Jarosz Dartmouth College

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Related Online Degrees & Career Pathways

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