World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
34
Citations
4608
World Ranking
12222
National Ranking
421

Fabio Pellacini 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 Fabio Pellacini 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: 101 publications — 9th percentile

9% of scientists in this discipline score the same or lower.

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

Fabio Pellacini 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 Fabio Pellacini 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: 34 D-Index — 16th percentile

16% 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

  • 2009 - Fellow of Alfred P. Sloan Foundation

Overview

Fabio Pellacini is affiliated with Sapienza University of Rome in Italy and has contributed extensively to the fields of Computer Science and Engineering, with a focus on Computer Graphics and Computer-Aided Design and Computational Mechanics. Their research also spans subfields including Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering, and Information Systems.

The main topics of Fabio Pellacini's work include:

  • Computer Graphics and Visualization Techniques
  • 3D Shape Modeling and Analysis
  • Advanced Numerical Analysis Techniques
  • Computational Geometry and Mesh Generation
  • Advanced Vision and Imaging
  • Image Processing and 3D Reconstruction
  • Image Enhancement Techniques

Fabio Pellacini has authored papers in several peer-reviewed journals and conference proceedings. Notable recent publications include:

  • "Interactive and Robust Mesh Booleans," 2022, ACM Transactions on Graphics
  • "Neural reflectance transformation imaging," 2020, The Visual Computer
  • "<i>geoTangle</i>: Interactive Design of Geodesic Tangle Patterns on Surfaces," 2021, ACM Transactions on Graphics
  • "b/Surf: Interactive Bézier Splines on Surface Meshes," 2022, IEEE Transactions on Visualization and Computer Graphics
  • "PAVEL: Decorative Patterns with Packed Volumetric Elements," 2022, ACM Transactions on Graphics

Frequent co-authors who have collaborated with Fabio Pellacini include:

  • Giacomo Nazzaro
  • Enrico Puppo
  • Davide Sforza
  • Marzia Riso
  • Filippo Andrea Fanni

Fabio Pellacini's research has been published regularly in venues such as:

  • ACM Transactions on Graphics
  • arXiv (Cornell University)
  • The Visual Computer
  • IEEE Transactions on Visualization and Computer Graphics
  • Computers & Graphics

Among distinctions received, Fabio Pellacini was named a Fellow of the Alfred P. Sloan Foundation in 2009.

Best Publications

  • Eye tracking and online search: Lessons learned and challenges ahead

    Lori Lorigo;Maya Haridasan;Hrönn Brynjarsdóttir;Ling Xia

  • Toward a psychophysically-based light reflection model for image synthesis

    Fabio Pellacini;James A. Ferwerda;Donald P. Greenberg

  • AppProp: all-pairs appearance-space edit propagation

    Xiaobo An;Fabio Pellacini

  • Jigsaw image mosaics

    Junhwan Kim;Fabio Pellacini

  • Matrix row-column sampling for the many-light problem

    Miloš Hašan;Fabio Pellacini;Kavita Bala

  • Psychophysically based model of surface gloss perception

    James A. Ferwerda;Fabio Pellacini;Donald P. Greenberg

  • Fabricating spatially-varying subsurface scattering

    Yue Dong;Jiaping Wang;Fabio Pellacini;Xin Tong

  • Interactive global illumination in dynamic scenes

    Parag Tole;Fabio Pellacini;Bruce Walter;Donald P. Greenberg

  • SubEdit: a representation for editing measured heterogeneous subsurface scattering

    Ying Song;Xin Tong;Fabio Pellacini;Pieter Peers

  • Direct-to-indirect transfer for cinematic relighting

    Miloš Hašan;Fabio Pellacini;Kavita Bala

  • Lpics: a hybrid hardware-accelerated relighting engine for computer cinematography

    Fabio Pellacini;Kiril Vidimče;Aaron Lefohn;Alex Mohr

  • Printing spatially-varying reflectance

    Wojciech Matusik;Boris Ajdin;Jinwei Gu;Jason Lawrence

  • A user interface for interactive cinematic shadow design

    Fabio Pellacini;Parag Tole;Donald P. Greenberg

  • AppWand: editing measured materials using appearance-driven optimization

    Fabio Pellacini;Jason Lawrence

  • Printing spatially-varying reflectance

    Unknown

  • Vivace: a practical gauss-seidel method for stable soft body dynamics

    Marco Fratarcangeli;Valentina Tibaldo;Fabio Pellacini

  • Lighting with paint

    Fabio Pellacini;Frank Battaglia;R. Keith Morley;Adam Finkelstein

  • User-Controllable Color Transfer

    Xiaobo An;Fabio Pellacini

  • Toward evaluating lighting design interface paradigms for novice users

    William B. Kerr;Fabio Pellacini

  • Bi-scale appearance fabrication

    Yanxiang Lan;Yue Dong;Fabio Pellacini;Xin Tong

  • Eye tracking and online search: Lessons learned and challenges ahead

    Lori Lorigo;Maya Haridasan;Hrönn Brynjarsdóttir;Ling Xia

  • LightSlice: matrix slice sampling for the many-lights problem

    Jiawei Ou;Fabio Pellacini

Frequent Co-Authors

Xin Tong
Xin Tong Microsoft Research Asia (China)
Donald P. Greenberg
Donald P. Greenberg Cornell University
Baining Guo
Baining Guo Microsoft (United States)
Kavita Bala
Kavita Bala Cornell University
Aaron Lefohn
Aaron Lefohn Nvidia (United States)
Enrico Puppo
Enrico Puppo University of Genoa
Wojciech Jarosz
Wojciech Jarosz Dartmouth College
Jaroslav Krivanek
Jaroslav Krivanek Charles University
David Luebke
David Luebke Nvidia (United States)
Thorsten Joachims
Thorsten Joachims Cornell University

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