World's Best Scientists 2026 revealed!
Giorgio Giacinto

Giorgio Giacinto

D-Index & Metrics

Computer Science

D-Index
51
Citations
12180
World Ranking
5281
National Ranking
113

Giorgio Giacinto 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 Giacinto 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 160 publications — 31st percentile

31% of scientists in this discipline score the same or lower.

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

Giorgio Giacinto 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 Giacinto sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 51 D-Index — 63rd percentile

63% 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

  • 2020 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to pattern recognition for computer security
  • 2010 - ACM Senior Member

Overview

Giorgio Giacinto is affiliated with the University of Cagliari in Italy and has contributed extensively to the field of computer science, particularly focusing on areas related to security, artificial intelligence, and signal processing. Their research spans various subfields, including artificial intelligence, signal processing, computer networks and communications, information systems, and computer vision and pattern recognition.

The main topics Giorgio Giacinto has worked on include:

  • Advanced Malware Detection Techniques
  • Network Security and Intrusion Detection
  • Adversarial Robustness in Machine Learning
  • Anomaly Detection Techniques and Applications
  • Digital and Cyber Forensics
  • Software Testing and Debugging Techniques
  • Spam and Phishing Detection

Giacinto's publication record includes papers across prominent venues. Frequent publication outlets include arXiv (Cornell University), Computers & Security, Multimedia Tools and Applications, UNICA IRIS Institutional Research Information System (University of Cagliari), and the Journal of Information Security and Applications.

Recent papers by Giorgio Giacinto include:

  • Convolutional neural networks for relevance feedback in content based image retrieval, 2020, Multimedia Tools and Applications
  • Do gradient-based explanations tell anything about adversarial robustness to android malware?, 2022, UNICA IRIS Institutional Research Information System (University of Cagliari)
  • Adversarial Detection of Flash Malware: Limitations and Open Issues, 2020, Computers & Security
  • On the Feasibility of Adversarial Sample Creation Using the Android System API, 2020, Information
  • Enhancing android malware detection explainability through function call graph APIs, 2024, Journal of Information Security and Applications

Giacinto collaborates frequently with several researchers in security and machine learning, including Davide Maiorca, Ambra Demontis, Battista Biggio, Fabio Roli, and Michele Scalas. Their partnership reflects a focus on adversarial machine learning and malware detection techniques.

Among the recognitions received, Giorgio Giacinto was named a Fellow of the International Association for Pattern Recognition (IAPR) in 2020 for contributions to pattern recognition in computer security. Additionally, they were designated as an ACM Senior Member in 2010.

Best Publications

  • Evasion attacks against machine learning at test time

    Battista Biggio;Igino Corona;Davide Maiorca;Blaine Nelson

  • 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

  • Novel Feature Extraction, Selection and Fusion for Effective Malware Family Classification

    Mansour Ahmadi;Dmitry Ulyanov;Stanislav Semenov;Mikhail Trofimov

  • McPAD: A multiple classifier system for accurate payload-based anomaly detection

    Roberto Perdisci;Davide Ariu;Prahlad Fogla;Giorgio Giacinto

  • 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

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

    Igino Corona;Giorgio Giacinto;Fabio Roli

  • DroidSieve: Fast and Accurate Classification of Obfuscated Android Malware

    Guillermo Suarez-Tangil;Santanu Kumar Dash;Mansour Ahmadi;Johannes Kinder

  • Reject option with multiple thresholds

    Giorgio Fumera;Fabio Roli;Giorgio Giacinto

  • Combination of neural and statistical algorithms for supervised classification of remote-sensing images

    Giorgio Giacinto;Fabio Roli;Lorenzo Bruzzone

  • Stealth attacks: An extended insight into the obfuscation effects on Android malware

    Davide Maiorca;Davide Ariu;Igino Corona;Marco Aresu

  • Rapid and brief communication: A study on the performances of dynamic classifier selection based on local accuracy estimation

    Luca Didaci;Giorgio Giacinto;Fabio Roli;Gian Luca Marcialis

  • HMMPayl: An intrusion detection system based on Hidden Markov Models

    Davide Ariu;Roberto Tronci;Giorgio Giacinto

  • Alarm clustering for intrusion detection systems in computer networks

    Roberto Perdisci;Giorgio Giacinto;Fabio Roli

  • Methods for dynamic classifier selection

    G. Giacinto;F. Roli

Frequent Co-Authors

Fabio Roli
Fabio Roli University of Genoa
Battista Biggio
Battista Biggio University of Cagliari
Giorgio Fumera
Giorgio Fumera University of Cagliari
Roberto Perdisci
Roberto Perdisci University of Georgia
Konrad Rieck
Konrad Rieck Technische Universität Braunschweig
Francesco Mercaldo
Francesco Mercaldo University of Molise
Corrado Aaron Visaggio
Corrado Aaron Visaggio University of Sannio
Maurizio Migliaccio
Maurizio Migliaccio Parthenope University of Naples
Fabio Martinelli
Fabio Martinelli National Research Council (CNR)
Claudia Eckert
Claudia Eckert The Open University

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