World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
42
Citations
7394
World Ranking
8392
National Ranking
157

Renato Pajarola 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 Renato Pajarola 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: 176 publications — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Renato Pajarola 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 Renato Pajarola 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: 42 D-Index — 43rd percentile

43% 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

  • 2016 - ACM Senior Member

Overview

Renato Pajarola is affiliated with the University of Zurich in Switzerland and has a research portfolio spanning computer science and engineering. Their work focuses significantly on computer vision and pattern recognition, geology, environmental engineering, computational mechanics, and computer graphics with computer-aided design.

The scientist's research topics cover several areas:

  • 3D surveying and cultural heritage
  • Remote sensing and LiDAR applications
  • 3D shape modeling and analysis
  • Computer graphics and visualization techniques
  • Advanced vision and imaging
  • Tensor decomposition and applications
  • Robotics and sensor-based localization

Renato Pajarola has published extensively, with 19 publications in computer science and 12 in engineering fields. Their frequent publication venues include:

  • Computer Graphics Forum
  • The Visual Computer
  • Eurographics
  • Zurich Open Repository and Archive (University of Zurich)
  • Electronic Imaging

Among recent papers, notable titles include:

  • State-of-the-art in Automatic 3D Reconstruction of Structured Indoor Environments, 2020, Computer Graphics Forum
  • PGCNet: patch graph convolutional network for point cloud segmentation of indoor scenes, 2020, The Visual Computer
  • Walk2Map: Extracting Floor Plans from Indoor Walk Trajectories, 2021, Computer Graphics Forum
  • SenVis: Interactive Tensor-based Sensitivity Visualization, 2021, Computer Graphics Forum
  • VisGuided: A Community-driven Approach for Education in Visualization, 2021, Eurographics

Collaboration has been a part of their work, with frequent co-authors including:

  • Alexandra Diehl
  • Claudio Mura
  • Lizeth Joseline Fuentes Perez
  • Rafael Ballester-Ripoll
  • Konrad Schindler

Renato Pajarola was awarded the ACM Senior Member distinction in 2016, recognizing their standing in the computing community.

Best Publications

  • Predictive-corrective incompressible SPH

    B. Solenthaler;R. Pajarola

  • Large scale terrain visualization using the restricted quadtree triangulation

    Renato Pajarola

  • Compressed progressive meshes

    R. Pajarola;J. Rossignac

  • A unified particle model for fluid–solid interactions

    Barbara Solenthaler;Jürg Schläfli;Renato Pajarola

  • Survey of semi-regular multiresolution models for interactive terrain rendering

    Renato Pajarola;Enrico Gobbetti

  • Equalizer: A Scalable Parallel Rendering Framework

    S. Eilemann;M. Makhinya;R. Pajarola

  • Interactive SPH simulation and rendering on the GPU

    Prashant Goswami;Philipp Schlegel;Barbara Solenthaler;Renato Pajarola

  • Automatic Room Detection and Reconstruction in Cluttered Indoor Environments with Complex Room Layouts

    Claudio Mura;Oliver Mattausch;Alberto Jaspe Villanueva;Enrico Gobbetti

  • Out-Of-Core Algorithms for Scientific Visualization and Computer Graphics

    Yuh-Min Chiang;Jihad El-sana;Peter Lindstrom;Renato Pajarola

  • Topology preserving and controlled topology simplifying multiresolution isosurface extraction

    Thomas Gerstner;Renato Pajarola

  • Point-based rendering techniques

    Miguel Sainz;Renato Pajarola

  • TTHRESH: Tensor Compression for Multidimensional Visual Data

    Rafael Ballester-Ripoll;Peter Lindstrom;Renato Pajarola

  • Density contrast SPH interfaces

    B. Solenthaler;R. Pajarola

  • A unified particle model for fluid–solid interactions: Research Articles

    Barbara Solenthaler;Jürg Schläfli;Renato Pajarola

  • Overview of Quadtree-based Terrain Triangulation and Visualization

    Renato Pajarola

  • QuadTIN: quadtree based triangulated irregular networks

    Renato Pajarola;Marc Antonijuan;Roberto Lario

  • Object detection and classification from large-scale cluttered indoor scans

    Oliver Mattausch;Daniele Panozzo;Claudio Mura;Olga Sorkine-Hornung

  • Continuous projection for fast L1 reconstruction

    Reinhold Preiner;Oliver Mattausch;Murat Arikan;Renato Pajarola

  • FastMesh: efficient view-dependent meshing

    R. Pajarola

  • Adaptive sampling and rendering of fluids on the GPU

    Yanci Zhang;Barbara Solenthaler;Renato Pajarola

  • State-of-the-art in Automatic 3D Reconstruction of Structured Indoor Environments

    Giovanni Pintore;Claudio Mura;Fabio Ganovelli;Lizeth Joseline Fuentes-Perez

Frequent Co-Authors

Enrico Gobbetti
Enrico Gobbetti Center for Advanced Studies Research and Development in Sardinia
Peter Widmayer
Peter Widmayer ETH Zurich
Jarek Rossignac
Jarek Rossignac Georgia Institute of Technology
David H. Laidlaw
David H. Laidlaw Brown University
Peter Lindstrom
Peter Lindstrom Lawrence Livermore National Laboratory
Hans-Christian Hege
Hans-Christian Hege Zuse Institute Berlin
Cláudio T. Silva
Cláudio T. Silva New York University
Mario Botsch
Mario Botsch TU Dortmund University
Shmuel Friedland
Shmuel Friedland University of Illinois at Chicago

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