World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
44
Citations
8626
World Ranking
7540
National Ranking
3279

Samuel Rota Bulò 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 Samuel Rota Bulò 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: 124 publications — 16th percentile

16% of scientists in this discipline score the same or lower.

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

Samuel Rota Bulò 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 Samuel Rota Bulò 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: 44 D-Index — 48th percentile

48% of scientists in this discipline score the same or lower.

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

Overview

Samuel Rota Bulò is affiliated with Facebook in the United States and has contributed extensively to research in computer science and engineering. Their work focuses primarily on areas such as computer vision, artificial intelligence, and aerospace engineering, with particular emphasis on advanced neural network applications and domain adaptation techniques.

The scientist's research spans several specialized subfields including:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Aerospace Engineering
  • Computer Graphics and Computer-Aided Design
  • Computational Mechanics

Main topics of their research include:

  • Advanced Neural Network Applications
  • Domain Adaptation and Few-Shot Learning
  • Advanced Vision and Imaging
  • Robotics and Sensor-Based Localization
  • Human Pose and Action Recognition
  • Computer Graphics and Visualization Techniques
  • Generative Adversarial Networks and Image Synthesis

Samuel Rota Bulò has published numerous papers in prominent venues with contributions to the following recent works:

  • "Modeling the Background for Incremental Learning in Semantic Segmentation", 2020, Institutional Research Information System (Università degli Studi di Trento)
  • "Disentangling Monocular 3D Object Detection: From Single to Multi-Class Recognition", 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "AutoRF: Learning 3D Object Radiance Fields from Single View Observations", 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Are we Missing Confidence in Pseudo-LiDAR Methods for Monocular 3D Object Detection?", 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "MultiDIAL: Domain Alignment Layers for (Multisource) Unsupervised Domain Adaptation", 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence

The scientist has collaborated frequently with a group of co-authors, with multiple joint publications alongside:

  • Peter Kontschieder (23 collaborations)
  • Lorenzo Porzi (20 collaborations)
  • Elisa Ricci (9 collaborations)
  • Matthias Nießner (6 collaborations)
  • Norman Müller (6 collaborations)

Their research outputs have appeared regularly in several key publication venues such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Lecture Notes in Computer Science
  • Institutional Research Information System (Università degli Studi di Trento)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Best Publications

  • The Mapillary Vistas Dataset for Semantic Understanding of Street Scenes

    Gerhard Neuhold;Tobias Ollmann;Samuel Rota Bulo;Peter Kontschieder

  • Deep Neural Decision Forests

    Peter Kontschieder;Madalina Fiterau;Antonio Criminisi;Samuel Rota Bulo

  • Disentangling Monocular 3D Object Detection

    Andrea Simonelli;Samuel Rota Bulo;Lorenzo Porzi;Manuel Lopez-Antequera

  • In-place Activated BatchNorm for Memory-Optimized Training of DNNs

    Samuel Rota Bulo;Lorenzo Porzi;Peter Kontschieder

  • AutoDIAL: Automatic Domain Alignment Layers

    Fabio Maria Cariucci;Lorenzo Porzi;Barbara Caputo;Elisa Ricci

  • Modeling the Background for Incremental Learning in Semantic Segmentation

    Fabio Cermelli;Massimiliano Mancini;Samuel Rota Bulo;Elisa Ricci

  • Structured class-labels in random forests for semantic image labelling

    Peter Kontschieder;Samuel Rota Bulo;Horst Bischof;Marcello Pelillo

  • Seamless Scene Segmentation

    Lorenzo Porzi;Samuel Rota Bulo;Aleksander Colovic;Peter Kontschieder

  • A Game-Theoretic Approach to Hypergraph Clustering

    Samuel R. Bulò;Marcello Pelillo

  • Dense Non-rigid Shape Correspondence Using Random Forests

    Emanuele Rodolà;Samuel Rota Bulò;Thomas Windheuser;Matthias Vestner

  • DiffRF: Rendering-Guided 3D Radiance Field Diffusion

    Unknown

  • Boosting Domain Adaptation by Discovering Latent Domains

    Massimiliano Mancini;Lorenzo Porzi;Samuel Rota Bulo;Barbara Caputo

  • Unsupervised Domain Adaptation Using Feature-Whitening and Consensus Loss

    Subhankar Roy;Aliaksandr Siarohin;Enver Sangineto;Samuel Rota Bulo

  • Neural Decision Forests for Semantic Image Labelling

    Samuel Rota Bulò;Peter Kontschieder

  • Is data clustering in adversarial settings secure

    Battista Biggio;Ignazio Pillai;Samuel Rota Bulò;Davide Ariu

  • Predicting and Understanding Urban Perception with Convolutional Neural Networks

    Lorenzo Porzi;Samuel Rota Bulò;Bruno Lepri;Elisa Ricci

  • A Game-Theoretic Approach to Hypergraph Clustering

    Samuel Rota Bul #x F;Marcello Pelillo

  • Best Sources Forward: Domain Generalization through Source-Specific Nets

    Massimiliano Mancini;Samuel Rota Bulo;Barbara Caputo;Elisa Ricci

  • Loss Max-Pooling for Semantic Image Segmentation

    Samuel Rota Bulo;Gerhard Neuhold;Peter Kontschieder

  • Matching as a non-cooperative game

    Andrea Albarelli;Samuel Rota Bulo;Andrea Torsello;Marcello Pelillo

  • Grouping with Asymmetric Affinities: A Game-Theoretic Perspective

    A. Torsello;S.R. Bulo;M. Pelillo

Frequent Co-Authors

Marcello Pelillo
Marcello Pelillo Ca Foscari University of Venice
Barbara Caputo
Barbara Caputo Polytechnic University of Turin
Elisa Ricci
Elisa Ricci Fondazione Bruno Kessler
Andrea Torsello
Andrea Torsello Ca Foscari University of Venice
Mário A. T. Figueiredo
Mário A. T. Figueiredo Instituto Superior Técnico
Horst Bischof
Horst Bischof Graz University of Technology
Immanuel M. Bomze
Immanuel M. Bomze University of Vienna
Joan Serrat
Joan Serrat Universitat Politècnica de Catalunya
Fabio Roli
Fabio Roli University of Genoa
Battista Biggio
Battista Biggio University of Cagliari

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

As demand for tech-savvy professionals continues to grow, pursuing additional or alternative online degrees can open up diverse career options in related fields. For example, those interested in law, data analysis, or management may consider online degree programs in criminal justice, accounting, data science, or construction management.

Affordability is a key concern for many students. If cost is a significant factor in your decision, you can compare the criminal justice degree online cost or look at accounting degree online cheap programs to find options that fit your budget.

For those looking to specialize further, an online master data science program can enhance your technical credentials and boost your earning potential. Alternatively, if you have an interest in the intersection of technology and project oversight, consider an construction management degree online to advance into leadership roles within the industry.

These flexible online pathways support varied goals, whether your focus is entering the workforce quickly, advancing in your current field, or developing new, in-demand skills.

Best Scientists Citing Samuel Rota Bulò

Trending Scientists

Recently Published Articles