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Computer Science
Italy
2025

D-Index & Metrics

Computer Science

D-Index
80
Citations
25776
World Ranking
1081
National Ranking
12

Fabio Roli 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 Fabio Roli 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: 406 publications — 88th percentile

88% of scientists in this discipline score the same or lower.

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

Fabio Roli 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 Fabio Roli 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: 80 D-Index — 93rd percentile

93% 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
  • 2012 - IEEE Fellow For contributions to multiple classifier systems
  • 2004 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to pattern recognition and its applications and multiple classifier systems.

Overview

Fabio Roli is affiliated with the University of Genoa in Italy and has a significant body of research contributions in computer science, particularly in artificial intelligence and related subfields. Their work spans over 214 publications, focusing predominantly on artificial intelligence with 118 publications, computer vision and pattern recognition with 39, and signal processing with 33. Additional areas include computer networks and communications as well as hardware and architecture.

Their research covers a variety of main topics including adversarial robustness in machine learning, anomaly detection techniques and applications, and advanced malware detection techniques. Other topics involve advanced neural network applications, wireless signal modulation classification, network security and intrusion detection, and digital media forensic detection.

Recent significant papers by Fabio Roli include:

  • "Adversarial EXEmples," 2021, ACM Transactions on Privacy and Security
  • "Wild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning," 2023, ACM Computing Surveys
  • "ImageNet-Patch: A dataset for benchmarking machine learning robustness against adversarial patches," 2022, Pattern Recognition
  • "3D face mask presentation attack detection based on intrinsic image analysis," 2020, IET Biometrics
  • "CompactNet: learning a compact space for face presentation attack detection," 2020, Neurocomputing

Fabio Roli frequently collaborates with several co-authors, including Battista Biggio with 60 joint publications, Ambra Demontis with 43, Luca Demetrio with 28, Maura Pintor with 28, and Antonio Emanuele Cinà with 23 collaborations.

Their work is often published in venues such as arXiv (Cornell University) with 42 publications, Information Sciences with 5, Pattern Recognition with 4, UNICA IRIS Institutional Research Information System (University of Cagliari) with 4, and Computers & Security with 3 publications.

Fabio Roli has received recognition from major professional organizations. They were named an IEEE Fellow in 2012 for contributions to multiple classifier systems. In 2004, they were named a Fellow of the International Association for Pattern Recognition (IAPR) for contributions to pattern recognition and its applications and multiple classifier systems.

Best Publications

  • Evasion attacks against machine learning at test time

    Battista Biggio;Igino Corona;Davide Maiorca;Blaine Nelson

  • Multiple Classifier Systems

    Nikunj C. Oza;Robi. Polikar;Josef. Kittler;Fabio. Roli

  • Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning

    Battista Biggio;Fabio Roli

  • Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization

    Luis Muñoz-González;Battista Biggio;Ambra Demontis;Andrea Paudice

  • Design of effective neural network ensembles for image classification purposes

    Giorgio Giacinto;Fabio Roli

  • Evasion Attacks against Machine Learning at Test Time

    Battista Biggio;Igino Corona;Davide Maiorca;Blaine Nelson

  • 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

  • Dynamic classifier selection based on multiple classifier behaviour

    Giorgio Giacinto;Fabio Roli

  • Adversarial Malware Binaries: Evading Deep Learning for Malware Detection in Executables

    Bojan Kolosnjaji;Ambra Demontis;Battista Biggio;Davide Maiorca

  • Fusion of multiple classifiers for intrusion detection in computer networks

    Giorgio Giacinto;Fabio Roli;Luca Didaci

  • Yes, Machine Learning Can Be More Secure! A Case Study on Android Malware Detection

    Ambra Demontis;Marco Melis;Battista Biggio;Davide Maiorca

  • Intrusion detection in computer networks by a modular ensemble of one-class classifiers

    Giorgio Giacinto;Roberto Perdisci;Mauro Del Rio;Fabio Roli

  • Methods for Designing Multiple Classifier Systems

    Fabio Roli;Giorgio Giacinto;Gianni Vernazza

  • An approach to the automatic design of multiple classifier systems

    Giorgio Giacinto;Fabio Roli

  • An extension of the Jeffreys-Matusita distance to multiclass cases for feature selection

    L. Bruzzone;F. Roli;S.B. Serpico

  • Adversarial Feature Selection Against Evasion Attacks

    Fei Zhang;Patrick P. K. Chan;Battista Biggio;Daniel S. Yeung

  • Adversarial attacks against intrusion detection systems: Taxonomy, solutions and open issues

    Igino Corona;Giorgio Giacinto;Fabio Roli

  • First International Fingerprint Liveness Detection Competition--LivDet 2009

    Gian Luca Marcialis;Aaron Lewicke;Bozhao Tan;Pietro Coli

  • Wild patterns: Ten years after the rise of adversarial machine learning half-day tutorial

    B. Biggio;F. Roli

Frequent Co-Authors

Giorgio Fumera
Giorgio Fumera University of Cagliari
Gian Luca Marcialis
Gian Luca Marcialis University of Cagliari
Battista Biggio
Battista Biggio University of Cagliari
Giorgio Giacinto
Giorgio Giacinto University of Cagliari
Sebastiano B. Serpico
Sebastiano B. Serpico University of Genoa
Josef Kittler
Josef Kittler University of Surrey
Eric Granger
Eric Granger École de Technologie Supérieure
Lorenzo Bruzzone
Lorenzo Bruzzone University of Trento
Robert Sabourin
Robert Sabourin École de Technologie Supérieure
Roberto Perdisci
Roberto Perdisci University of Georgia

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