World's Best Scientists 2026 revealed!
Alessandro Piva

Alessandro Piva

D-Index & Metrics

Computer Science

D-Index
49
Citations
13020
World Ranking
5787
National Ranking
133

Alessandro Piva 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 Alessandro Piva 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: 205 publications — 48th percentile

48% of scientists in this discipline score the same or lower.

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

Alessandro Piva 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 Alessandro Piva 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: 49 D-Index — 60th percentile

60% 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

  • 2019 - IEEE Fellow For contributions to multimedia security

Overview

Alessandro Piva is affiliated with the University of Florence in Italy and specializes in the field of Computer Science, contributing to 72 publications. Their research primarily focuses on subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Law, and Information Systems.

Their work covers several main topics, notably:

  • Digital Media Forensic Detection
  • Advanced Steganography and Watermarking Techniques
  • Generative Adversarial Networks and Image Synthesis
  • Law in Society and Culture
  • Image Processing Techniques and Applications
  • Video Analysis and Summarization
  • Digital and Cyber Forensics

Alessandro Piva has collaborated frequently with various coauthors throughout their career, including:

  • Massimo Iuliani
  • Daniele Baracchi
  • Dasara Shullani
  • Fabrizio Argenti
  • Marco Fontani

Their publications appear regularly in notable venues such as:

  • Pattern Recognition Letters
  • Journal of Imaging
  • IEEE Access
  • arXiv (Cornell University)
  • Frontiers in Imaging

Selected recent papers by Alessandro Piva include:

  • "A Survey of Deep Learning-Based Source Image Forensics," 2020, Journal of Imaging
  • "A Leak in PRNU Based Source Identification-Questioning Fingerprint Uniqueness," 2021, IEEE Access
  • "Efficient Video Integrity Analysis Through Container Characterization," 2020, IEEE Journal of Selected Topics in Signal Processing
  • "Experiencing with electronic image stabilization and PRNU through scene content image registration," 2021, Pattern Recognition Letters
  • "Social Network Identification of Laundered Videos Based on DCT Coefficient Analysis," 2022, IEEE Signal Processing Letters

Alessandro Piva has also contributed to scholarly literature through book publications with Springer Science+Business Media. They have two editions of "Digital Forensics and Watermarking," published in 2020 and 2022.

In recognition of their contributions to multimedia security, Alessandro Piva was named an IEEE Fellow in 2019.

Best Publications

  • Improved wavelet-based watermarking through pixel-wise masking

    M. Barni;F. Bartolini;A. Piva

  • A DCT-domain system for robust image watermarking

    Mauro Barni;Franco Bartolini;Vito Cappellini;Alessandro Piva

  • DCT-based watermark recovering without resorting to the uncorrupted original image

    A. Piva;M. Barni;F. Bartolini;V. Cappellini

  • Image Forgery Localization via Fine-Grained Analysis of CFA Artifacts

    P. Ferrara;T. Bianchi;A. De Rosa;A. Piva

  • Image Forgery Localization via Block-Grained Analysis of JPEG Artifacts

    T. Bianchi;A. Piva

  • An Overview on Image Forensics

    Alessandro Piva

  • An overview on video forensics

    P. Bestagini;K. M. Fontani;S. Milani;M. Barni

  • VISION: a video and image dataset for source identification

    Dasara Shullani;Marco Fontani;Massimo Iuliani;Omar Al Shaya;Omar Al Shaya

  • On the Implementation of the Discrete Fourier Transform in the Encrypted Domain

    T. Bianchi;A. Piva;M. Barni

  • A new decoder for the optimum recovery of nonadditive watermarks

    M. Barni;F. Bartolini;A. De Rosa;A. Piva

  • Privacy-preserving fingercode authentication

    Mauro Barni;Tiziano Bianchi;Dario Catalano;Mario Di Raimondo

  • Improved DCT coefficient analysis for forgery localization in JPEG images

    Tiziano Bianchi;Alessia De Rosa;Alessandro Piva

  • Detection of Nonaligned Double JPEG Compression Based on Integer Periodicity Maps

    T. Bianchi;A. Piva

  • DWT-based technique for spatio-frequency masking of digital signatures

    Mauro Barni;Franco Bartolini;Vito Cappellini;Alessandro Lippi

  • Protection and retrieval of encrypted multimedia content: when cryptography meets signal processing

    Zekeriya Erkin;Alessandro Piva;Stefan Katzenbeisser;R. L. Lagendijk

  • Composite Signal Representation for Fast and Storage-Efficient Processing of Encrypted Signals

    T. Bianchi;A. Piva;M. Barni

  • Multichannel watermarking of color images

    M. Barni;F. Bartolini;A. Piva

  • Managing copyright in open networks

    A. Piva;F. Bartolini;M. Barni

  • Multispectral imaging of paintings

    A. Pelagotti;A. Del Mastio;A. De Rosa;A. Piva

  • Secure Watermarking for Multimedia Content Protection: A Review of its Benefits and Open Issues

    T. Bianchi;A. Piva

Frequent Co-Authors

Mauro Barni
Mauro Barni University of Siena
Franco Bartolini
Franco Bartolini University of Florence
Tiziano Bianchi
Tiziano Bianchi Polytechnic University of Turin
Stefan Katzenbeisser
Stefan Katzenbeisser University of Passau
Bart Preneel
Bart Preneel KU Leuven
Claudio Orlandi
Claudio Orlandi Aarhus University
Vincenzo Piuri
Vincenzo Piuri University of Milan
Yao Zhao
Yao Zhao Beijing Jiaotong University
Anderson Rocha
Anderson Rocha State University of Campinas
Dario Fiore
Dario Fiore Madrid Institute for Advanced Studies

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