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Computer Science
Italy
2025

D-Index & Metrics

Computer Science

D-Index
65
Citations
18343
World Ranking
2442
National Ranking
40

Barbara Caputo 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 Barbara Caputo 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: 224 publications — 55th percentile

55% of scientists in this discipline score the same or lower.

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

Barbara Caputo 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 Barbara Caputo 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: 65 D-Index — 83rd percentile

83% 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

  • 2025 - Research.com Computer Science in Italy Leader Award
  • 2023 - Research.com Computer Science in Italy Leader Award
  • 2022 - Research.com Computer Science in Italy Leader Award

Overview

Barbara Caputo is affiliated with the Polytechnic University of Turin in Italy. Their research primarily spans the field of Computer Science, with a focus on several specialized subfields.

The subfields of study include:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Aerospace Engineering
  • Electrical and Electronic Engineering
  • Radiology, Nuclear Medicine and Imaging

Their main research topics cover various areas in machine learning and computer vision, specifically:

  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning
  • Advanced Neural Network Applications
  • Advanced Image and Video Retrieval Techniques
  • Human Pose and Action Recognition
  • Robotics and Sensor-Based Localization
  • COVID-19 diagnosis using AI

Barbara Caputo has contributed to numerous publications, with recent notable papers including:

  • "Modeling the Background for Incremental Learning in Semantic Segmentation" (2020), published by Institutional Research Information System (Università degli Studi di Trento)
  • "Rethinking Visual Geo-localization for Large-Scale Applications" (2022), published in the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "A Survey on Deep Visual Place Recognition" (2021), published in IEEE Access
  • "Cluster-driven graph federated learning over multiple domains" (2021), published by Institutional Research Information System (Università degli Studi di Trento)
  • "Deep Visual Geo-localization Benchmark" (2022), published in the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Frequent co-authors collaborating with Barbara Caputo include:

  • Carlo Masone
  • Fabio Cermelli
  • Gabriele Berton
  • Antonio Tavera
  • Marco Ciccone

Their publications are often presented in a range of venues, with several recurring outlets such as:

  • arXiv (Cornell University)
  • IEEE Robotics and Automation Letters
  • 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • IEEE Access

Best Publications

  • Recognizing human actions: a local SVM approach

    C. Schuldt;I. Laptev;B. Caputo

  • Electromyography data for non-invasive naturally-controlled robotic hand prostheses

    Manfredo Atzori;Arjan Gijsberts;Claudio Castellini;Barbara Caputo

  • Domain Generalization by Solving Jigsaw Puzzles

    Fabio M. Carlucci;Antonio D'Innocente;Silvia Bucci;Barbara Caputo

  • On the Significance of Real‐World Conditions for Material Classification

    Eric Hayman;Barbara Caputo;Mario Fritz;Jan Olof Eklundh

  • Recognition with local features: the kernel recipe

    Unknown

  • Class-specific material categorisation

    B. Caputo;E. Hayman;P. Mallikarjuna

  • AutoDIAL: Automatic Domain Alignment Layers

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

  • Characterization of a Benchmark Database for Myoelectric Movement Classification

    Manfredo Atzori;Arjan Gijsberts;Ilja Kuzborskij;Simone Elsig

  • Modeling the Background for Incremental Learning in Semantic Segmentation

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

  • Building the Ninapro database: A resource for the biorobotics community

    Manfredo Atzori;Arjan Gijsberts;Simone Heynen;Anne-Gabrielle Mittaz Hager

  • Safety in numbers: Learning categories from few examples with multi model knowledge transfer

    Tatiana Tommasi;Francesco Orabona;Barbara Caputo

  • Local velocity-adapted motion events for spatio-temporal recognition

    Ivan Laptev;Barbara Caputo;Christian Schüldt;Tony Lindeberg

  • Multi-modal Semantic Place Classification

    A. Pronobis;O. Martínez Mozos;B. Caputo;P. Jensfelt

  • From Source to Target and Back: Symmetric Bi-Directional Adaptive GAN

    Paolo Russo;Fabio M. Carlucci;Tatiana Tommasi;Barbara Caputo

  • A Deeper Look at Dataset Bias.

    Tatiana Tommasi;Novi Patricia;Novi Patricia;Barbara Caputo;Tinne Tuytelaars

  • Movement Error Rate for Evaluation of Machine Learning Methods for sEMG-Based Hand Movement Classification

    Arjan Gijsberts;Manfredo Atzori;Claudio Castellini;Henning Müller

  • Proceedings of the first workshop on Peripheral Machine Interfaces: going beyond traditional surface electromyography

    Claudio Castellini;Panagiotis K. Artemiadis;Michael Wininger;Arash Ajoudani

  • Looking beyond appearances: Synthetic training data for deep CNNs in re-identification

    Igor Barros Barbosa;Marco Cristani;Barbara Caputo;Aleksander Rognhaugen

  • ImageCLEF: Experimental Evaluation in Visual Information Retrieval

    Henning Mller;Paul Clough;Thomas Deselaers;Barbara Caputo

  • A Discriminative Approach to Robust Visual Place Recognition

    Andrzej Pronobis;Barbara Caputo;Patric Jensfelt;Henrik Christensen

  • A Deeper Look at Dataset Bias

    Tatiana Tommasi;Novi Patricia;Novi Patricia;Barbara Caputo;Tinne Tuytelaars

Frequent Co-Authors

Francesco Orabona
Francesco Orabona King Abdullah University of Science and Technology
Samuel Rota Bulò
Samuel Rota Bulò Facebook (United States)
Henning Müller
Henning Müller University of Applied Sciences and Arts Western Switzerland
Claudio Castellini
Claudio Castellini University of Erlangen-Nuremberg
Elisa Ricci
Elisa Ricci Fondazione Bruno Kessler
Patric Jensfelt
Patric Jensfelt Royal Institute of Technology
Henrik I. Christensen
Henrik I. Christensen University of California, San Diego
Giulio Sandini
Giulio Sandini Italian Institute of Technology
Peter Brugger
Peter Brugger University of Zurich
Frank W. Ohl
Frank W. Ohl Leibniz Institute for Neurobiology

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