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Computer Science
Italy
2025

D-Index & Metrics

Computer Science

D-Index
56
Citations
15512
World Ranking
4010
National Ranking
83

Luisa Verdoliva 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 Luisa Verdoliva 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: 172 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.

Luisa Verdoliva 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 Luisa Verdoliva 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: 56 D-Index — 72nd percentile

72% 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
  • 2022 - Research.com Computer Science in Italy Leader Award

Overview

Luisa Verdoliva is affiliated with the University of Naples Federico II in Italy. Their research primarily spans the field of Computer Science, with a focus on several subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Information Systems, and Biophysics.

The scientist has published extensively on various topics, with notable emphasis on Digital Media Forensic Detection, Generative Adversarial Networks and Image Synthesis, Advanced Steganography and Watermarking Techniques, Face Recognition and Analysis, Digital and Cyber Forensics, Adversarial Robustness in Machine Learning, and Cell Image Analysis Techniques.

Frequent coauthors collaborating with Luisa Verdoliva include:

  • Davide Cozzolino
  • Giovanni Poggi
  • Diego Gragnaniello
  • Riccardo Corvi
  • Koki Nagano

The main venues where Verdoliva's scholarly works appear with multiple contributions are:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • IEEE Signal Processing Magazine
  • IEEE Access
  • IEEE Security & Privacy

Some recent publications by Luisa Verdoliva include:

  • Nonlocal CNN SAR Image Despeckling, 2020, Remote Sensing
  • Facing Device Attribution Problem for Stabilized Video Sequences, 2020, Virtual Community of Pathological Anatomy (University of Castilla La Mancha)
  • Towards Universal GAN Image Detection, 2021, 2021 International Conference on Visual Communications and Image Processing (VCIP)
  • Forensic Analysis of Synthetically Generated Western Blot Images, 2022, IEEE Access
  • Information Forensics and Security: A quarter-century-long journey, 2023, IEEE Signal Processing Magazine

Best Publications

  • FaceForensics++: Learning to Detect Manipulated Facial Images

    Andreas Rossler;Davide Cozzolino;Luisa Verdoliva;Christian Riess

  • Pansharpening by Convolutional Neural Networks

    Giuseppe Masi;Davide Cozzolino;Luisa Verdoliva;Giuseppe Scarpa

  • A Nonlocal SAR Image Denoising Algorithm Based on LLMMSE Wavelet Shrinkage

    S. Parrilli;M. Poderico;C. V. Angelino;L. Verdoliva

  • FaceForensics++: Learning to Detect Manipulated Facial Images

    Andreas Rössler;Davide Cozzolino;Luisa Verdoliva;Christian Riess

  • Media Forensics and DeepFakes: An Overview

    Luisa Verdoliva

  • Land Use Classification in Remote Sensing Images by Convolutional Neural Networks

    Marco Castelluccio;Giovanni Poggi;Carlo Sansone;Luisa Verdoliva

  • Efficient Dense-Field Copy–Move Forgery Detection

    Davide Cozzolino;Giovanni Poggi;Luisa Verdoliva

  • Noiseprint: A CNN-Based Camera Model Fingerprint

    Davide Cozzolino;Luisa Verdoliva

  • FaceForensics: A Large-scale Video Dataset for Forgery Detection in Human Faces

    Andreas Rössler;Davide Cozzolino;Luisa Verdoliva;Christian Riess

  • Detection of GAN-Generated Fake Images over Social Networks

    Francesco Marra;Diego Gragnaniello;Davide Cozzolino;Luisa Verdoliva

  • Recasting Residual-based Local Descriptors as Convolutional Neural Networks: an Application to Image Forgery Detection

    Davide Cozzolino;Giovanni Poggi;Luisa Verdoliva

  • Do GANs Leave Artificial Fingerprints

    Francesco Marra;Diego Gragnaniello;Luisa Verdoliva;Giovanni Poggi

  • SAR image despeckling through convolutional neural networks

    G. Chierchia;D. Cozzolino;G. Poggi;L. Verdoliva

  • Splicebuster: A new blind image splicing detector

    Davide Cozzolino;Giovanni Poggi;Luisa Verdoliva

  • ForensicTransfer: Weakly-supervised Domain Adaptation for Forgery Detection

    Davide Cozzolino;Justus Thies;Andreas Rössler;Christian Riess

  • A Bayesian-MRF Approach for PRNU-Based Image Forgery Detection

    Giovanni Chierchia;Giovanni Poggi;Carlo Sansone;Luisa Verdoliva

  • Fast Adaptive Nonlocal SAR Despeckling

    Davide Cozzolino;Sara Parrilli;Giuseppe Scarpa;Giovanni Poggi

  • An Investigation of Local Descriptors for Biometric Spoofing Detection

    Diego Gragnaniello;Giovanni Poggi;Carlo Sansone;Luisa Verdoliva

  • Exploiting Patch Similarity for SAR Image Processing: The nonlocal paradigm

    Charles-Alban Deledalle;Loic Denis;Giovanni Poggi;Florence Tupin

  • Benchmarking Framework for SAR Despeckling

    Gerardo Di Martino;Mariana Poderico;Giovanni Poggi;Daniele Riccio

Frequent Co-Authors

Giovanni Poggi
Giovanni Poggi University of Naples Federico II
Davide Cozzolino
Davide Cozzolino University of Naples Federico II
Carlo Sansone
Carlo Sansone University of Naples Federico II
Justus Thies
Justus Thies Technical University of Munich
Daniele Riccio
Daniele Riccio University of Naples Federico II
Stefano Tubaro
Stefano Tubaro Polytechnic University of Milan
Paolo Bestagini
Paolo Bestagini Polytechnic University of Milan
Matthias Nießner
Matthias Nießner Technical University of Munich
Fabio Roli
Fabio Roli University of Genoa
Gianfranco Fornaro
Gianfranco Fornaro National Research Council (CNR)

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