World's Best Scientists 2026 revealed!
Wojciech Matusik

Wojciech Matusik

D-Index & Metrics

Computer Science

D-Index
86
Citations
26946
World Ranking
776
National Ranking
418

Wojciech Matusik 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 Wojciech Matusik 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: 324 publications — 78th percentile

78% of scientists in this discipline score the same or lower.

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

Wojciech Matusik 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 Wojciech Matusik 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: 86 D-Index — 95th percentile

95% 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

  • 2012 - Fellow of Alfred P. Sloan Foundation

Overview

Wojciech Matusik is affiliated with MIT in the United States and specializes in research spanning engineering and computer science disciplines. Their work encompasses a diverse range of subfields, particularly in computer vision and pattern recognition, biomedical engineering, computational mechanics, mechanical engineering, and artificial intelligence.

The scientist's research focuses on several main topics, including 3D shape modeling and analysis, advanced sensor and energy harvesting materials, manufacturing process and optimization, computer graphics and visualization techniques, advanced vision and imaging, additive manufacturing and 3D printing technologies, and tactile and sensory interactions.

Recent publications highlight these interests and include the following papers:

  • Towards real-time photorealistic 3D holography with deep neural networks, 2021, Nature
  • 3D printing of polymer composites: Materials, processes, and applications, 2022, Matter
  • Learning human-environment interactions using conformal tactile textiles, 2021, Nature Electronics
  • End-to-end learning of 3D phase-only holograms for holographic display, 2022, Light Science & Applications
  • RoboGrammar, 2020, ACM Transactions on Graphics

Frequent co-authors in their work include Michael Foshey, Wan Shou, Daniela Rus, Beichen Li, and Yiyue Luo, reflecting ongoing collaborations in their research network.

The scientist regularly publishes in respected venues such as arXiv (Cornell University), ACM Transactions on Graphics, Zenodo (CERN European Organization for Nuclear Research), Nature, and IEEE Robotics and Automation Letters.

Matusik's contributions have been recognized with awards including the Fellow of Alfred P. Sloan Foundation in 2012.

Best Publications

  • Image-based visual hulls

    Wojciech Matusik;Chris Buehler;Ramesh Raskar;Steven J. Gortler

  • Learning the signatures of the human grasp using a scalable tactile glove.

    Subramanian Sundaram;Petr Kellnhofer;Yunzhu Li;Jun-Yan Zhu

  • Eye Tracking for Everyone

    Kyle Krafka;Aditya Khosla;Petr Kellnhofer;Harini Kannan

  • A data-driven reflectance model

    Wojciech Matusik;Hanspeter Pfister;Matt Brand;Leonard McMillan

  • Articulated mesh animation from multi-view silhouettes

    Daniel Vlasic;Ilya Baran;Wojciech Matusik;Jovan Popović

  • 3D TV: a scalable system for real-time acquisition, transmission, and autostereoscopic display of dynamic scenes

    Wojciech Matusik;Hanspeter Pfister

  • Experimental analysis of BRDF models

    Addy Ngan;Frédo Durand;Wojciech Matusik

  • Towards real-time photorealistic 3D holography with deep neural networks

    Liang Shi;Beichen Li;Changil Kim;Petr Kellnhofer

  • Practical motion capture in everyday surroundings

    Daniel Vlasic;Rolf Adelsberger;Giovanni Vannucci;John Barnwell

  • Polyhedral visual hulls for real-time rendering

    Wojciech Matusik;Chris Buehler;Leonard McMillan

  • Analysis of human faces using a measurement-based skin reflectance model

    Tim Weyrich;Wojciech Matusik;Hanspeter Pfister;Bernd Bickel

  • Design and fabrication of materials with desired deformation behavior

    Bernd Bickel;Moritz Bächer;Miguel A. Otaduy;Hyunho Richard Lee

  • Gaze360: Physically Unconstrained Gaze Estimation in the Wild

    Petr Kellnhofer;Adria Recasens;Simon Stent;Wojciech Matusik

  • Learning human–environment interactions using conformal tactile textiles

    Yiyue Luo;Yunzhu Li;Pratyusha Sharma;Wan Shou

  • Chopper: partitioning models into 3D-printable parts

    Linjie Luo;Ilya Baran;Szymon Rusinkiewicz;Wojciech Matusik

  • Computational design of mechanical characters

    Stelian Coros;Bernhard Thomaszewski;Gioacchino Noris;Shinjiro Sueda

  • Dynamic shape capture using multi-view photometric stereo

    Daniel Vlasic;Pieter Peers;Ilya Baran;Paul Debevec

  • Image-based 3D photography using opacity hulls

    Wojciech Matusik;Hanspeter Pfister;Addy Ngan;Paul Beardsley

  • Three-dimensional television system and method for providing three-dimensional television

    Hanspeter Pfister;Wojciech Matusik

  • Inverse shade trees for non-parametric material representation and editing

    Jason Lawrence;Aner Ben-Artzi;Christopher DeCoro;Wojciech Matusik

  • Natural video matting using camera arrays

    Neel Joshi;Wojciech Matusik;Shai Avidan

Frequent Co-Authors

Hanspeter Pfister
Hanspeter Pfister Harvard University
Markus Gross
Markus Gross ETH Zurich
Bernd Bickel
Bernd Bickel ETH Zurich
Szymon Rusinkiewicz
Szymon Rusinkiewicz Princeton University
Marc Alexa
Marc Alexa Technical University of Berlin
Mohamed Hefeeda
Mohamed Hefeeda Simon Fraser University
Matthias Zwicker
Matthias Zwicker University of Maryland, College Park

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