World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
47
Citations
6994
World Ranking
6609
National Ranking
2919

Daniele Panozzo 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 Daniele Panozzo 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: 174 publications — 36th percentile

36% of scientists in this discipline score the same or lower.

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

Daniele Panozzo 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 Daniele Panozzo 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: 47 D-Index — 56th percentile

56% of scientists in this discipline score the same or lower.

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

Overview

Daniele Panozzo is affiliated with New York University in the United States. Their research primarily spans the fields of Engineering and Computer Science, with a strong focus on areas related to computational mechanics and computer graphics.

Their work explores several specialized subfields of study, including:

  • Computational Mechanics
  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Mechanics of Materials
  • Computational Theory and Mathematics

Core topics of Daniele Panozzo's research include:

  • Computational Geometry and Mesh Generation
  • 3D Shape Modeling and Analysis
  • Computer Graphics and Visualization Techniques
  • Advanced Numerical Analysis Techniques
  • Adhesion, Friction, and Surface Interactions
  • Dynamics and Control of Mechanical Systems
  • Contact Mechanics and Variational Inequalities

Several papers authored or co-authored by Daniele Panozzo have contributed to these areas. Selected recent publications include:

  • Incremental Potential Contact, 2020, ACM Transactions on Graphics
  • Intersection-free Rigid Body Dynamics, 2021, ACM Transactions on Graphics
  • Rear Traction Forces Drive Adherent Tissue Migration in Vivo, 2022, Nature Cell Biology
  • Orienting Point Clouds with Dipole Propagation, 2021, ACM Transactions on Graphics
  • A Large-Scale Comparison of Tetrahedral and Hexahedral Elements for Solving Elliptic PDEs with the Finite Element Method, 2022, ACM Transactions on Graphics

Their frequent co-authors include:

  • Teseo Schneider
  • Denis Zorin
  • Zachary Ferguson
  • Zizhou Huang
  • Marco Attene

Daniele Panozzo's research has been published repeatedly in the following venues:

  • ACM Transactions on Graphics
  • arXiv (Cornell University)
  • Computer Methods and Programs in Biomedicine
  • Computer Graphics Forum
  • bioRxiv (Cold Spring Harbor Laboratory)

Best Publications

  • ABC: A Big CAD Model Dataset for Geometric Deep Learning

    Sebastian Koch;Albert Matveev;Zhongshi Jiang;Francis Williams

  • Instant field-aligned meshes

    Wenzel Jakob;Marco Tarini;Daniele Panozzo;Olga Sorkine-Hornung

  • Incremental potential contact: intersection-and inversion-free, large-deformation dynamics

    Minchen Li;Zachary Ferguson;Teseo Schneider;Timothy Langlois

  • Tetrahedral meshing in the wild

    Yixin Hu;Qingnan Zhou;Xifeng Gao;Alec Jacobson

  • libigl: prototyping geometry processing research in C++

    Alec Jacobson;Daniele Panozzo

  • NewsStand: a new view on news

    Benjamin E. Teitler;Michael D. Lieberman;Daniele Panozzo;Jagan Sankaranarayanan

  • Deep Geometric Prior for Surface Reconstruction

    Francis Williams;Teseo Schneider;Claudio Silva;Denis Zorin

  • Directional field synthesis, design, and processing

    Amir Vaxman;Marcel Campen;Olga Diamanti;Daniele Panozzo

  • Interactive hand pose estimation using a stretch-sensing soft glove

    Oliver Glauser;Shihao Wu;Daniele Panozzo;Otmar Hilliges

  • Practical quad mesh simplification

    Marco Tarini;Nico Pietroni;Paolo Cignoni;Daniele Panozzo

  • Scalable Locally Injective Mappings

    Michael Rabinovich;Roi Poranne;Daniele Panozzo;Olga Sorkine-Hornung

  • Confocal reference free traction force microscopy.

    Martin Bergert;Tobias Lendenmann;Manuel Zündel;Alexander E. Ehret;Alexander E. Ehret

  • Locally injective mappings

    Christian Schüller;Ladislav Kavan;Daniele Panozzo;Olga Sorkine-Hornung

  • Robust Image Retargeting via Axis-Aligned Deformation

    Daniele Panozzo;Ofir Weber;Olga Sorkine

  • Fast tetrahedral meshing in the wild

    Yixin Hu;Teseo Schneider;Bolun Wang;Denis Zorin

  • Position-based tensegrity design

    Nico Pietroni;Marco Tarini;Amir Vaxman;Daniele Panozzo

  • Designing unreinforced masonry models

    Daniele Panozzo;Philippe Block;Olga Sorkine-Hornung

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

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

  • Simple quad domains for field aligned mesh parametrization

    Marco Tarini;Enrico Puppo;Daniele Panozzo;Nico Pietroni

  • Assembling self-supporting structures

    Mario Deuss;Daniele Panozzo;Emily Whiting;Yang Liu

  • Designing N-PolyVector Fields with Complex Polynomials

    Olga Diamanti;Amir Vaxman;Daniele Panozzo;Olga Sorkine-Hornung

Frequent Co-Authors

Denis Zorin
Denis Zorin New York University
Marc Alexa
Marc Alexa Technical University of Berlin
Enrico Puppo
Enrico Puppo University of Genoa
Otmar Hilliges
Otmar Hilliges ETH Zurich
Alec Jacobson
Alec Jacobson University of Toronto
Joan Bruna
Joan Bruna New York University
Cláudio T. Silva
Cláudio T. Silva New York University
Paolo Cignoni
Paolo Cignoni National Research Council (CNR)
Hanan Samet
Hanan Samet University of Maryland, College Park
Leila De Floriani
Leila De Floriani University of Maryland, College Park

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