World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
77
Citations
25188
World Ranking
1262
National Ranking
671

Cláudio T. Silva 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 Cláudio T. Silva 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: 393 publications — 86th percentile

86% of scientists in this discipline score the same or lower.

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

Cláudio T. Silva 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 Cláudio T. Silva 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: 77 D-Index — 91st percentile

91% of scientists in this discipline score the same or lower.

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

Overview

Cláudio T. Silva is affiliated with New York University in the United States and specializes in the field of Computer Science. Their research focuses primarily on areas including Computer Vision and Pattern Recognition, Artificial Intelligence, and Signal Processing. Other fields of study include Global and Planetary Change as well as Sociology and Political Science.

The main topics of Cláudio T. Silva's work cover a broad range of subjects, such as:

  • Data Visualization and Analytics
  • Music and Audio Processing
  • Machine Learning and Data Classification
  • Digital Games and Media
  • Explainable Artificial Intelligence (XAI)
  • Video Analysis and Summarization
  • Video Surveillance and Tracking Methods

Key recent publications include:

  • Learning Geo-Contextual Embeddings for Commuting Flow Prediction, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • PipelineProfiler: A Visual Analytics Tool for the Exploration of AutoML Pipelines, 2020, IEEE Transactions on Visualization and Computer Graphics
  • CitySurfaces: City-scale semantic segmentation of sidewalk materials, 2022, Sustainable Cities and Society
  • Mapping the walk: A scalable computer vision approach for generating sidewalk network datasets from aerial imagery, 2023, Computers Environment and Urban Systems
  • IntentVizor: Towards Generic Query Guided Interactive Video Summarization, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Frequent co-authors of Cláudio T. Silva include:

  • Luís Gustavo Nonato
  • João Rulff
  • Peter Xenopoulos
  • Guande Wu
  • Brian Barr

The scientist has published extensively in a range of venues. The most common publication forums are:

  • arXiv (Cornell University)
  • IEEE Transactions on Visualization and Computer Graphics
  • SSRN Electronic Journal
  • Sensors
  • Computing in Science & Engineering

Best Publications

  • The ball-pivoting algorithm for surface reconstruction

    F. Bernardini;J. Mittleman;H. Rushmeier;C. Silva

  • Computing and rendering point set surfaces

    M. Alexa;J. Behr;D. Cohen-Or;S. Fleishman

  • Point set surfaces

    Marc Alexa;Johannes Behr;Daniel Cohen-Or;Shachar Fleishman

  • Robust moving least-squares fitting with sharp features

    Shachar Fleishman;Daniel Cohen-Or;Cláudio T. Silva

  • Provenance for Computational Tasks: A Survey

    J. Freire;D. Koop;E. Santos;C.T. Silva

  • VisTrails: visualization meets data management

    Steven P. Callahan;Juliana Freire;Emanuele Santos;Carlos E. Scheidegger

  • Visual Exploration of Big Spatio-Temporal Urban Data: A Study of New York City Taxi Trips

    Nivan Ferreira;Jorge Poco;Huy T. Vo;Juliana Freire

  • The ALPS project release 2.0: open source software for strongly correlated systems

    B. Bauer;L.D. Carr;Hans Gerd Evertz;A. Feiguin

  • A survey of visibility for walkthrough applications

    D. Cohen-Or;Y.L. Chrysanthou;C.T. Silva;F. Durand

  • A Survey of Surface Reconstruction from Point Clouds

    Matthew Berger;Andrea Tagliasacchi;Lee M. Seversky;Pierre Alliez

  • VisTrails: enabling interactive multiple-view visualizations

    L. Bavoil;S.P. Callahan;P.J. Crossno;J. Freire

  • Surface Reconstruction based on Lower Dimensional Localized Delaunay Triangulation

    M. Gopi;Shankar Krishnan;Cláudio T. Silva

  • Quad-Mesh Generation and Processing: A Survey

    David Bommes;Bruno Lévy;Nico Pietroni;Enrico Puppo

  • State of the Art in Surface Reconstruction from Point Clouds

    Matthew Berger;Andrea Tagliasacchi;Lee M. Seversky;Pierre Alliez

  • Managing rapidly-evolving scientific workflows

    Juliana Freire;Cláudio T. Silva;Steven P. Callahan;Emanuele Santos

  • A user study of visualization effectiveness using EEG and cognitive load

    E. W. Anderson;K. C. Potter;L. E. Matzen;J. F. Shepherd

  • Special Issue: The First Provenance Challenge

    Luc Moreau;Bertram Ludäscher;Ilkay Altintas;Roger S. Barga

  • The First Provenance Challenge

    Luc Moreau;Bertram Ludaescher;Ilkay Altintas;Roger S. Barga

  • SONYC: a system for monitoring, analyzing, and mitigating urban noise pollution

    Juan P. Bello;Claudio Silva;Oded Nov;R. Luke Dubois

  • A benchmark for surface reconstruction

    Matthew Berger;Joshua A. Levine;Luis Gustavo Nonato;Gabriel Taubin

  • Progressive point set surfaces

    Shachar Fleishman;Daniel Cohen-Or;Marc Alexa;Cláudio T. Silva

Frequent Co-Authors

Juliana Freire
Juliana Freire New York University
Valerio Pascucci
Valerio Pascucci University of Utah
Charles Hansen
Charles Hansen University of Utah
Bernd Hamann
Bernd Hamann University of California, Davis
Joseph S. B. Mitchell
Joseph S. B. Mitchell Stony Brook University
Peter Lindstrom
Peter Lindstrom Lawrence Livermore National Laboratory
Chris R. Johnson
Chris R. Johnson University of Utah
Robert M. Kirby
Robert M. Kirby University of Utah
Denis Zorin
Denis Zorin New York University
Enrico Bertini
Enrico Bertini Bambino Gesù Children's Hospital

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