World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
9055
World Ranking
9583
National Ranking
4059

Radomir Mech 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 Radomir Mech 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: 143 publications — 24th percentile

24% of scientists in this discipline score the same or lower.

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

Radomir Mech 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 Radomir Mech 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: 39 D-Index — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Overview

Radomir Mech is affiliated with Adobe Systems in the United States. Their research spans multiple areas within computer science and engineering, with a focus on computational mechanics, computer graphics, and computer vision.

Their recent publications reflect an emphasis on 3D shape modeling and computer graphics techniques. Notable papers include:

  • Match, 2020, published in ACM Transactions on Graphics
  • MatFormer, 2022, published in ACM Transactions on Graphics
  • CPFN: Cascaded Primitive Fitting Networks for High-Resolution Point Clouds, 2021, presented at the 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • FAME: 3D Shape Generation via Functionality-Aware Model Evolution, 2020, published in IEEE Transactions on Visualization and Computer Graphics
  • A Survey of Control Mechanisms for Creative Pattern Generation, 2021, published in Computer Graphics Forum

Mech's collaborative network includes frequent co-authors such as Matheus Gadelha, Tamy Boubekeur, Niloy J. Mitra, Minhyuk Sung, and Thibault Groueix. These collaborations indicate interdisciplinary connections in computer graphics and shape analysis.

Their work has been disseminated in several respected venues, highlighting their engagement with both academic and applied research communities. Key publication venues include:

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

Radomir Mech's scientific contributions cover broad topics such as 3D shape modeling and analysis, computer graphics and visualization techniques, 3D surveying and cultural heritage, human motion and animation, advanced numerical analysis techniques, computational geometry and mesh generation, and remote sensing and LiDAR applications.

  • 3D Shape Modeling and Analysis
  • Computer Graphics and Visualization Techniques
  • 3D Surveying and Cultural Heritage
  • Human Motion and Animation
  • Advanced Numerical Analysis Techniques
  • Computational Geometry and Mesh Generation
  • Remote Sensing and LiDAR Applications

The main fields associated with Mech's work include Computer Science and Engineering, with subfields spanning computational mechanics, computer graphics and computer-aided design, computer vision and pattern recognition, control and systems engineering, and geology.

  • Computational Mechanics
  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Control and Systems Engineering
  • Geology

This profile synthesizes the research scope and academic contributions of Radomir Mech based on their published works, collaborative partnerships, and interdisciplinary interests within computational and visualization sciences.

Best Publications

  • Visual models of plants interacting with their environment

    Radomír Měch;Przemyslaw Prusinkiewicz

  • Realistic modeling and rendering of plant ecosystems

    Oliver Deussen;Pat Hanrahan;Bernd Lintermann;Radomír Měch

  • Photo Aesthetics Ranking Network with Attributes and Content Adaptation

    Shu Kong;Xiaohui Shen;Zhe L. Lin;Radomír Mech

  • Minimum Barrier Salient Object Detection at 80 FPS

    Jianming Zhang;Stan Sclaroff;Zhe Lin;Xiaohui Shen

  • Synthetic topiary

    Przemyslaw Prusinkiewicz;Mark James;Radomír Měch

  • DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction

    Qiangeng Xu;Weiyue Wang;Duygu Ceylan;Radomir Mech

  • Deep Multi-patch Aggregation Network for Image Style, Aesthetics, and Quality Estimation

    Xin Lu;Zhe Lin;Xiaohui Shen;Radomir Mech

  • Self-organizing tree models for image synthesis

    Wojciech Palubicki;Kipp Horel;Steven Longay;Adam Runions

  • Metropolis procedural modeling

    Jerry O. Talton;Yu Lou;Steve Lesser;Jared Duke

  • L-systems: from the Theory to Visual Models of Plants

    Przemyslaw Prusinkiewicz;Jim Hanan;Mark Hammel;Radomir Mech

  • L-studio/cpfg: A software system for modeling plants

    P. Prusinkiewicz;R. Karwowski;R. Mech;J. Hanan

  • Inverse Procedural Modelling of Trees

    O. Stava;S. Pirk;J. Kratt;B. Chen

  • An L-system-based plant modeling language

    P. Prusinkiewicz;J. Hanan;R. Mech

  • Visual models of plant development

    Przemyslaw Prusinkiewicz;Mark Hammel;Jim Hanan;Rdomír Měch

  • Learning Design Semantics for Mobile Apps

    Thomas F. Liu;Mark Craft;Jason Situ;Ersin Yumer

  • PackMerger: A 3D Print Volume Optimizer

    J. Vanek;J. A. Garcia Galicia;B. Benes;R. Mźch

  • Inverse Procedural Modeling by Automatic Generation of L‐systems

    O. Št'ava;B. Beneš;R. Měch;D. G. Aliaga

  • Personalized Image Aesthetics

    Jian Ren;Xiaohui Shen;Zhe Lin;Radomir Mech

  • Plastic trees: interactive self-adapting botanical tree models

    Sören Pirk;Ondrej Stava;Julian Kratt;Michel Abdul Massih Said

  • Learning design patterns with bayesian grammar induction

    Jerry Talton;Lingfeng Yang;Ranjitha Kumar;Maxine Lim

Frequent Co-Authors

Zhe Lin
Zhe Lin Adobe Systems (United States)
Xiaohui Shen
Xiaohui Shen ByteDance
Duygu Ceylan
Duygu Ceylan Adobe Systems (United States)
Przemyslaw Prusinkiewicz
Przemyslaw Prusinkiewicz University of Calgary
Jonathan Brandt
Jonathan Brandt Adobe Systems (United States)
Ersin Yumer
Ersin Yumer Adobe Systems (United States)
Brian Price
Brian Price Adobe Systems (United States)
Peng Wang
Peng Wang Baidu (China)
Stan Sclaroff
Stan Sclaroff Boston University
Dinesh Manocha
Dinesh Manocha University of Maryland, College Park

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