World's Best Scientists 2026 revealed!
Umberto Castellani

Umberto Castellani

D-Index & Metrics

Computer Science

D-Index
30
Citations
3521
World Ranking
14140
National Ranking
516

Umberto Castellani 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 Umberto Castellani 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: 153 publications — 28th percentile

28% of scientists in this discipline score the same or lower.

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

Umberto Castellani 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 Umberto Castellani 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: 30 D-Index — 3rd percentile

3% of scientists in this discipline score the same or lower.

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

Overview

Umberto Castellani is affiliated with the University of Verona in Italy. Their research contributions primarily span the fields of Computer Science and Engineering.

Their work covers several subfields, including:

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

The main topics addressed in their research are:

  • 3D Shape Modeling and Analysis
  • Computer Graphics and Visualization Techniques
  • Image Processing and 3D Reconstruction
  • Human Pose and Action Recognition
  • Advanced Vision and Imaging
  • Human Motion and Animation
  • Advanced Numerical Analysis Techniques

Frequent venues for publication include:

  • arXiv (Cornell University)
  • BOA (University of Milano-Bicocca)
  • Computers & Graphics
  • SSRN Electronic Journal
  • IEEE Transactions on Pattern Analysis and Machine Intelligence

Frequent coauthors collaborating with Umberto Castellani are:

  • Simone Melzi
  • Riccardo Marin
  • Pietro Musoni
  • Emanuele Rodolà
  • Letizia Squarcina

Recent papers authored by Castellani include:

  • Infinite Feature Selection: A Graph-based Feature Filtering Approach, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • FARM: Functional Automatic Registration Method for 3D Human Bodies, 2020, BOA (University of Milano-Bicocca)
  • Automatic classification of autism spectrum disorder in children using cortical thickness and support vector machine, 2021, Brain and Behavior
  • Clinical, Brain, and Multilevel Clustering in Early Psychosis and Affective Stages, 2022, JAMA Psychiatry
  • Intrinsic/extrinsic embedding for functional remeshing of 3D shapes, 2020, Computers & Graphics

Best Publications

  • Sparse points matching by combining 3D mesh saliency with statistical descriptors

    Umberto Castellani;Marco Cristani;Simone Fantoni;Vittorio Murino

  • Infinite Latent Feature Selection: A Probabilistic Latent Graph-Based Ranking Approach

    Giorgio Roffo;Simone Melzi;Umberto Castellani;Alessandro Vinciarelli

  • Learning class-specific descriptors for deformable shapes using localized spectral convolutional networks

    D. Boscaini;J. Masci;S. Melzi;M. M. Bronstein

  • Infinite Feature Selection: A Graph-based Feature Filtering Approach

    Giorgio Roffo;Simone Melzi;Umberto Castellani;Alessandro Vinciarelli

  • Coarse-to-fine low-rank structure-from-motion

    A. Bartoli;V. Gay-Bellile;U. Castellani;J. Peyras

  • Shape Retrieval of Non-rigid 3D Human Models

    D. Pickup;X. Sun;P. L. Rosin;R. R. Martin

  • Using hidden Markov models and wavelets for face recognition

    M. Bicego;U. Castellani;V. Murino

  • Supervised learning of bag-of-features shape descriptors using sparse coding

    Roee Litman;Alex Bronstein;Michael Bronstein;Umberto Castellani

  • SHREC'14 Track: Shape retrieval of non-rigid 3D human models

    David Pickup;Ralph Robert Martin;Paul L. Rosin;Xianfang Sun

  • Visual vocabulary signature for 3D object retrieval and partial matching

    R. Toldo;U. Castellani;A. Fusiello

  • Machine learning approaches: from theory to application in schizophrenia.

    Elisa Veronese;Umberto Castellani;Denis Peruzzo;Marcella Bellani

  • A Bag of Words Approach for 3D Object Categorization

    Roberto Toldo;Umberto Castellani;Andrea Fusiello

  • SHREC 2010: robust large-scale shape retrieval benchmark

    A M. Bronstein;M M. Bronstein;U Castellani;B Falcidieno

  • Classification of schizophrenia using feature-based morphometry

    Umberto Castellani;Elisa Rossato;Vittorio Murino;Vittorio Murino;Marcella Bellani

  • SHREC 2010: robust correspondence benchmark

    A. M. Bronstein;M. M. Bronstein;U. Castellani;A. Dubrovina

  • The bag of words approach for retrieval and categorization of 3D objects

    Roberto Toldo;Umberto Castellani;Andrea Fusiello

  • Accurate and Automatic Alignment of Range Surfaces

    Simone Fantoni;Umberto Castellani;Andrea Fusiello

  • FARM: Functional Automatic Registration Method for 3D Human Bodies

    Riccardo Marin;Simone Melzi;Emanuele Rodolà;Umberto Castellani

  • Geo-located image analysis using latent representations

    M. Cristani;A. Perina;U. Castellani;V. Murino

  • 3D Shape Registration

    Umberto Castellani;Adrien Bartoli

  • Model Acquisition by Registration of Multiple Acoustic Range Views

    Andrea Fusiello;Umberto Castellani;Lucca Ronchetti;Vittorio Murino

  • Classification of first-episode psychosis in a large cohort of patients using support vector machine and multiple kernel learning techniques

    Letizia Squarcina;Umberto Castellani;Marcella Bellani;Cinzia Perlini

Frequent Co-Authors

Vittorio Murino
Vittorio Murino University of Verona
Paolo Brambilla
Paolo Brambilla University of Milan
Andrea Fusiello
Andrea Fusiello University of Udine
Marco Cristani
Marco Cristani University of Verona
Michael M. Bronstein
Michael M. Bronstein University of Oxford
Emanuele Rodolà
Emanuele Rodolà Sapienza University of Rome
Alexander M. Bronstein
Alexander M. Bronstein Technion – Israel Institute of Technology
Michele Tansella
Michele Tansella University of Verona
Maks Ovsjanikov
Maks Ovsjanikov École Polytechnique
Antonio Lasalvia
Antonio Lasalvia University of Verona

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