World's Best Scientists 2026 revealed!
Gian Luca Marcialis

Gian Luca Marcialis

D-Index & Metrics

Computer Science

D-Index
37
Citations
5617
World Ranking
10781
National Ranking
337

Gian Luca Marcialis 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 Gian Luca Marcialis 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: 171 publications — 35th percentile

35% of scientists in this discipline score the same or lower.

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

Gian Luca Marcialis 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 Gian Luca Marcialis 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: 37 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Overview

Gian Luca Marcialis is affiliated with the University of Cagliari in Italy and specializes in Computer Science, with a primary focus on Computer Vision and Pattern Recognition. Their research portfolio includes significant work in related subfields such as Signal Processing, Artificial Intelligence, Safety Research, and Genetics.

The main topics explored in their body of work cover biometric identification and security, digital media forensic detection, and generative adversarial networks and image synthesis. Additional research interests include forensic fingerprint detection methods, face recognition and analysis, forensic and genetic research, and advanced image processing techniques.

Marcialis has contributed to multiple scientific papers published in recognized venues. Notable recent papers include:

  • "The Face Deepfake Detection Challenge," 2022, Journal of Imaging
  • "DeepFake detection based on high-frequency enhancement network for highly compressed content," 2024, Expert Systems with Applications
  • "Deepfake Media Forensics: Status and Future Challenges," 2025, Journal of Imaging
  • "Texture and artifact decomposition for improving generalization in deep-learning-based deepfake detection," 2024, Engineering Applications of Artificial Intelligence
  • "Tensor-Based Deepfake Detection in Scaled and Compressed Images," 2022, 2022 IEEE International Conference on Image Processing (ICIP)

The scientist frequently publishes in venues such as arXiv (Cornell University), UNICA IRIS Institutional Research Information System at the University of Cagliari, IET Biometrics, IEEE Transactions on Biometrics Behavior and Identity Science, and the Journal of Imaging.

Collaboration is a significant aspect of their research, demonstrated by frequent coauthorship with colleagues including Giulia Orrù, Marco Micheletto, Roberto Casula, Fabio Roli, and Sara Concas.

Best Publications

  • First International Fingerprint Liveness Detection Competition--LivDet 2009

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

  • LivDet 2013 Fingerprint Liveness Detection Competition 2013

    Luca Ghiani;David Yambay;Valerio Mura;Simona Tocco

  • LivDet 2011 — Fingerprint liveness detection competition 2011

    David Yambay;Luca Ghiani;Paolo Denti;Gian Luca Marcialis

  • LivDet 2015 fingerprint liveness detection competition 2015

    Valerio Mura;Luca Ghiani;Gian Luca Marcialis;Fabio Roli

  • An EEG-Based Biometric System Using Eigenvector Centrality in Resting State Brain Networks

    Matteo Fraschini;Arjan Hillebrand;Matteo Demuru;Luca Didaci

  • 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

  • Security evaluation of biometric authentication systems under real spoofing attacks

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

  • LivDet 2017 Fingerprint Liveness Detection Competition 2017

    Valerio Mura;Giulia Orru;Roberto Casula;Alessandra Sibiriu

  • Combining flat and structured representations for fingerprint classification with recursive neural networks and support vector machines

    Yuan Yao;Gian Luca Marcialis;Massimiliano Pontil;Massimiliano Pontil;Paolo Frasconi

  • Fusion of LDA and PCA for Face Verification

    Gian Luca Marcialis;Fabio Roli

  • Fingerprint liveness detection by local phase quantization

    Luca Ghiani;Gian Luca Marcialis;Fabio Roli

  • Fingerprint Liveness Detection using Binarized Statistical Image Features

    Luca Ghiani;Abdenour Hadid;Gian Luca Marcialis;Fabio Roli

  • Review of the Fingerprint Liveness Detection (LivDet) competition series: 2009 to 2015 *

    Luca Ghiani;David A. Yambay;Valerio Mura;Gian Luca Marcialis

  • Fingerprint verification by fusion of optical and capacitive sensors

    Gian Luca Marcialis;Fabio Roli

  • Semi-supervised PCA-Based face recognition using self-training

    Fabio Roli;Gian Luca Marcialis

  • Template Update Methods in Adaptive Biometric Systems: A Critical Review

    Ajita Rattani;Biagio Freni;Gian Luca Marcialis;Fabio Roli

  • Analysis of Fingerprint Pores for Vitality Detection

    Gian Luca Marcialis;Fabio Roli;Alessandra Tidu

  • Human Body Part Selection by Group Lasso of Motion for Model-Free Gait Recognition

    Imad Rida;Xudong Jiang;Gian Luca Marcialis

  • Power spectrum-based fingerprint vitality detection

    P. Coli;G.L. Marcialis;F. Roli

  • LivDet in Action - Fingerprint Liveness Detection Competition 2019

    Giulia Orru;Roberto Casula;Pierluigi Tuveri;Carlotta Bazzoni

  • Adaptive Biometric Systems That Can Improve with Use

    Fabio Roli;Luca Didaci;Gian Luca Marcialis

Frequent Co-Authors

Fabio Roli
Fabio Roli University of Genoa
Eric Granger
Eric Granger École de Technologie Supérieure
Giorgio Fumera
Giorgio Fumera University of Cagliari
Robert Sabourin
Robert Sabourin École de Technologie Supérieure
Battista Biggio
Battista Biggio University of Cagliari
Stephanie Schuckers
Stephanie Schuckers Clarkson University
Massimiliano Pontil
Massimiliano Pontil Italian Institute of Technology
Paolo Frasconi
Paolo Frasconi University of Florence
Julian Fierrez
Julian Fierrez Autonomous University of Madrid
Javier Ortega-Garcia
Javier Ortega-Garcia Autonomous University of Madrid

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