World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
60
Citations
13326
World Ranking
3260
National Ranking
1582

Matthias Zwicker 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 Matthias Zwicker 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: 183 publications — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Matthias Zwicker 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 Matthias Zwicker 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: 60 D-Index — 78th percentile

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

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

Overview

Matthias Zwicker is affiliated with the University of Maryland, College Park in the United States. Their research spans multiple fields within computer science and engineering, with a strong focus on computer vision, computer graphics, and computational mechanics.

The scientist has made contributions across several subfields of study, including:

  • Computer Vision and Pattern Recognition
  • Computational Mechanics
  • Computer Graphics and Computer-Aided Design
  • Geology
  • Artificial Intelligence

Zwicker's work covers a range of main topics, most notably:

  • 3D Shape Modeling and Analysis
  • Advanced Vision and Imaging
  • Computer Graphics and Visualization Techniques
  • 3D Surveying and Cultural Heritage
  • Image Processing and 3D Reconstruction
  • Human Pose and Action Recognition
  • Medical Image Segmentation Techniques

They have published extensively, with research appearing in frequent venues such as:

  • arXiv (Cornell University)
  • ACM Transactions on Graphics
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • IEEE Transactions on Visualization and Computer Graphics
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Some recent representative publications include:

  • Surface Reconstruction from Point Clouds by Learning Predictive Context Priors, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Reconstructing 3D Shapes From Multiple Sketches Using Direct Shape Optimization, 2020, IEEE Transactions on Image Processing
  • Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces, 2020, arXiv (Cornell University)
  • Neural radiosity, 2021, ACM Transactions on Graphics
  • LRC-Net: Learning discriminative features on point clouds by encoding local region contexts, 2020, Computer Aided Geometric Design

Zwicker collaborates frequently with several researchers, including:

  • Yu-Shen Liu
  • Zhizhong Han
  • Saeed Hadadan
  • Shuhong Chen
  • Geng Lin

Their research expertise integrates advanced methods in 3D reconstruction, point cloud processing, shape optimization, and neural rendering. This combination bridges applied mathematics, computer graphics, and machine learning techniques tailored for visual computing challenges.

Best Publications

  • Surfels: surface elements as rendering primitives

    Hanspeter Pfister;Matthias Zwicker;Jeroen van Baar;Markus Gross

  • Surface splatting

    Matthias Zwicker;Hanspeter Pfister;Jeroen van Baar;Markus Gross

  • Pointshop 3D: an interactive system for point-based surface editing

    Matthias Zwicker;Mark Pauly;Oliver Knoll;Markus Gross

  • Mesh-based inverse kinematics

    Robert W. Sumner;Matthias Zwicker;Craig Gotsman;Jovan Popović

  • Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network

    Xinhai Liu;Zhizhong Han;Yu-Shen Liu;Matthias Zwicker

  • EWA splatting

    M. Zwicker;H. Pfister;J. van Baar;M. Gross

  • Object Space EWA Surface Splatting: A Hardware Accelerated Approach to High Quality Point Rendering

    Liu Ren;Hanspeter Pfister;Matthias Zwicker

  • High-quality surface splatting on today's GPUs

    Mario Botsch;Alexander Hornung;Matthias Zwicker;Leif Kobbelt

  • SeqViews2SeqLabels: Learning 3D Global Features via Aggregating Sequential Views by RNN With Attention

    Zhizhong Han;Mingyang Shang;Zhenbao Liu;Chi-Man Vong

  • Method and system for acquiring and displaying 3D light fields

    Wojciech Matusik;Hanspeter Pfister;Matthias Zwicker;Fredo Durand

  • SDFDiff: Differentiable Rendering of Signed Distance Fields for 3D Shape Optimization

    Yue Jiang;Dantong Ji;Zhizhong Han;Matthias Zwicker

  • Antialiasing for automultiscopic 3D displays

    Matthias Zwicker;Wojciech Matusik;Frédo Durand;Hanspeter Pfister

  • A Survey of Procedural Noise Functions

    Ares Lagae;Sylvain Lefebvre;Robert L. Cook;Tony DeRose

  • Method and System for Acquiring, Encoding, Decoding and Displaying 3D Light Fields

    Anthony Vetro;Sehoon Yea;Wojciech Matusik;Hanspeter Pfister

  • Multidimensional adaptive sampling and reconstruction for ray tracing

    Toshiya Hachisuka;Wojciech Jarosz;Richard Peter Weistroffer;Kevin Dale

  • Recent Advances in Adaptive Sampling and Reconstruction for Monte Carlo Rendering

    M. Zwicker;W. Jarosz;J. Lehtinen;B. Moon

  • 3D2SeqViews: Aggregating Sequential Views for 3D Global Feature Learning by CNN With Hierarchical Attention Aggregation

    Zhizhong Han;Honglei Lu;Zhenbao Liu;Chi-Man Vong

  • Dual-domain image denoising

    Claude Knaus;Matthias Zwicker

  • EWA volume splatting

    Matthias Zwicker;Hanspeter Pfister;Jeroen van Baar;Markus Gross

  • Faceshop: deep sketch-based face image editing

    Tiziano Portenier;Qiyang Hu;Attila Szabó;Siavash Arjomand Bigdeli

  • Perspective accurate splatting

    Matthias Zwicker;Jussi Räsänen;Mario Botsch;Carsten Dachsbacher

Frequent Co-Authors

Zhizhong Han
Zhizhong Han Wayne State University
Hanspeter Pfister
Hanspeter Pfister Harvard University
Markus Gross
Markus Gross ETH Zurich
Paolo Favaro
Paolo Favaro University of Bern
Wojciech Jarosz
Wojciech Jarosz Dartmouth College
Anthony Vetro
Anthony Vetro Mitsubishi Electric (United States)
Henrik Wann Jensen
Henrik Wann Jensen University of California, San Diego
Jaakko Lehtinen
Jaakko Lehtinen Aalto University

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