World's Best Scientists 2026 revealed!
Giorgio Fumera

Giorgio Fumera

D-Index & Metrics

Computer Science

D-Index
43
Citations
6648
World Ranking
8064
National Ranking
219

Giorgio Fumera 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 Giorgio Fumera 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: 135 publications — 21st percentile

21% of scientists in this discipline score the same or lower.

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

Giorgio Fumera 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 Giorgio Fumera 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: 43 D-Index — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Overview

Giorgio Fumera is affiliated with the University of Cagliari in Italy and has an extensive research portfolio predominantly in the fields of Computer Science and Engineering. Their work spans several interdisciplinary areas, with a marked focus on Computer Vision and Pattern Recognition as well as Artificial Intelligence.

The primary topics of scientific investigation include Video Surveillance and Tracking Methods, Anomaly Detection Techniques and Applications, and Adversarial Robustness in Machine Learning. Other notable interests are Human Pose and Action Recognition, Gait Recognition and Analysis, Microwave Imaging and Scattering Analysis, and Geophysical Methods and Applications.

Their recent publications reflect a range of applications and methodological approaches, including:

  • "Microwave Imaging of the Neck by Means of Artificial Neural Networks for Tumor Detection," 2021, published in IEEE Open Journal of Antennas and Propagation
  • "Scene-specific crowd counting using synthetic training images," 2021, published in Pattern Recognition
  • "Human-in-the-loop cross-domain person re-identification," 2023, published in Expert Systems with Applications
  • "Dropout injection at test time for post hoc uncertainty quantification in neural networks," 2023, published in Information Sciences
  • "Synthetic Data for Video Surveillance Applications of Computer Vision: A Review," 2024, published in International Journal of Computer Vision

Frequent coauthors include Lorenzo Putzu, Rita Delussu, Emanuele Ledda, Fabio Roli, and Alessandro Fedeli, indicating collaborative work in overlapping domains of expertise.

Their body of work has been disseminated across a variety of publication venues, with multiple contributions to arXiv (Cornell University), Pattern Recognition, SSRN Electronic Journal, IEEE Open Journal of Antennas and Propagation, and Expert Systems with Applications.

Best Publications

  • Security Evaluation of PatternClassifiers under Attack

    Battista Biggio;Giorgio Fumera;Fabio Roli

  • Is Feature Selection Secure against Training Data Poisoning

    Huang Xiao;Battista Biggio;Gavin Brown;Giorgio Fumera

  • A theoretical and experimental analysis of linear combiners for multiple classifier systems

    G. Fumera;F. Roli

  • Security Evaluation of Pattern Classifiers under Attack

    Battista Biggio;Giorgio Fumera;Fabio Roli

  • Reject option with multiple thresholds

    Giorgio Fumera;Fabio Roli;Giorgio Giacinto

  • Spam Filtering Based On The Analysis Of Text Information Embedded Into Images

    Giorgio Fumera;Ignazio Pillai;Fabio Roli

  • Multiple classifier systems for robust classifier design in adversarial environments

    Battista Biggio;Giorgio Fumera;Fabio Roli

  • Support Vector Machines with Embedded Reject Option

    Giorgio Fumera;Fabio Roli

  • Security evaluation of biometric authentication systems under real spoofing attacks

    Battista Biggio;Zahid Akhtar;Giorgio Fumera;Gian Luca Marcialis

  • Design of effective multiple classifier systems by clustering of classifiers

    G. Giacinto;F. Roli;G. Fumera

  • Security Evaluation of Support Vector Machines in Adversarial Environments

    Battista Biggio;Igino Corona;Blaine Nelson;Benjamin I. P. Rubinstein

  • Bagging classifiers for fighting poisoning attacks in adversarial classification tasks

    Battista Biggio;Igino Corona;Giorgio Fumera;Giorgio Giacinto

  • A survey and experimental evaluation of image spam filtering techniques

    Battista Biggio;Giorgio Fumera;Ignazio Pillai;Fabio Roli

  • Multimodal Person Reidentification Using RGB-D Cameras

    Federico Pala;Riccardo Satta;Giorgio Fumera;Fabio Roli

  • Adversarial Biometric Recognition : A review on biometric system security from the adversarial machine-learning perspective

    Battista Biggio;giorgio fumera;Paolo Russu;Luca Didaci

  • Pattern recognition systems under attack: design issues and research challenges

    Battista Biggio;Giorgio Fumera;Fabio Roli

  • A Theoretical Analysis of Bagging as a Linear Combination of Classifiers

    G. Fumera;F. Roli;A. Serrau

  • Is Deep Learning Safe for Robot Vision? Adversarial Examples Against the iCub Humanoid

    Marco Melis;Ambra Demontis;Battista Biggio;Gavin Brown

  • Poisoning attacks to compromise face templates

    Battista Biggio;Luca Didaci;Giorgio Fumera;Fabio Roli

  • Support vector machines for remote sensing image classification

    Fabio Roli;Giorgio Fumera

  • Adversarial Pattern Classification Using Multiple Classifiers and Randomisation

    Battista Biggio;Giorgio Fumera;Fabio Roli

Frequent Co-Authors

Fabio Roli
Fabio Roli University of Genoa
Battista Biggio
Battista Biggio University of Cagliari
Giorgio Giacinto
Giorgio Giacinto University of Cagliari
Gian Luca Marcialis
Gian Luca Marcialis University of Cagliari
Eric Granger
Eric Granger École de Technologie Supérieure
Claudia Eckert
Claudia Eckert The Open University
Marco Cristani
Marco Cristani University of Verona
Vittorio Murino
Vittorio Murino University of Verona
Josef Kittler
Josef Kittler University of Surrey
Xiaoyi Feng
Xiaoyi Feng Northwestern Polytechnical University

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