World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
35
Citations
4872
World Ranking
11747
National Ranking
396

Paolo Bestagini 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 Paolo Bestagini 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: 210 publications — 50th percentile

50% of scientists in this discipline score the same or lower.

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

Paolo Bestagini 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 Paolo Bestagini 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: 35 D-Index — 20th percentile

20% of scientists in this discipline score the same or lower.

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

Overview

Paolo Bestagini is affiliated with the Polytechnic University of Milan in Italy and has a substantial body of research primarily within the domain of computer science. Their work spans several subfields, including computer vision and pattern recognition, signal processing, artificial intelligence, geophysics, and biomedical engineering.

Their main topics of research include digital media forensic detection, speech and audio processing, music and audio processing, speech recognition and synthesis, generative adversarial networks and image synthesis, advanced steganography and watermarking techniques, and seismic waves and analysis.

Key recent papers authored by Paolo Bestagini include:

  • Video face manipulation detection through ensemble of CNNs (2020) published in Virtual Community of Pathological Anatomy (University of Castilla La Mancha)
  • Synthetic speech detection through short-term and long-term prediction traces (2021) published in EURASIP Journal on Information Security
  • Training Strategies and Data Augmentations in CNN-based DeepFake Video Detection (2020) published in Virtual Community of Pathological Anatomy (University of Castilla La Mancha)
  • Deep Prior-Based Unsupervised Reconstruction of Irregularly Sampled Seismic Data (2020) published in IEEE Geoscience and Remote Sensing Letters
  • Facing Device Attribution Problem for Stabilized Video Sequences (2020) published in Virtual Community of Pathological Anatomy (University of Castilla La Mancha)

Frequent co-authors who have collaborated with Paolo Bestagini include:

  • Stefano Tubaro
  • Sara Mandelli
  • Davide Salvi
  • Edward J. Delp
  • Edoardo Daniele Cannas

Paolo Bestagini has published extensively at the following venues:

  • arXiv (Cornell University)
  • Virtual Community of Pathological Anatomy (University of Castilla La Mancha)
  • IEEE Access
  • Journal of Imaging
  • ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Their research output consists of a significant number of publications focused on the intersection of signal processing, machine learning, and multimedia forensics. The contributions span practical applications such as video face manipulation detection and synthetic speech detection as well as theoretical approaches for data reconstruction in geophysics.

Best Publications

  • An overview on video forensics

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

  • First Steps Toward Camera Model Identification with Convolutional Neural Networks

    Luca Bondi;Luca Baroffio;David Guera;Paolo Bestagini

  • Video Face Manipulation Detection Through Ensemble of CNNs

    Nicolo Bonettini;Edoardo Daniele Cannas;Sara Mandelli;Luca Bondi

  • Aligned and non-aligned double JPEG detection using convolutional neural networks

    Mauro Barni;Luca Bondi;Nicolò Bonettini;Paolo Bestagini

  • Tampering Detection and Localization Through Clustering of Camera-Based CNN Features

    Luca Bondi;Silvia Lameri;David Guera;Paolo Bestagini

  • Local tampering detection in video sequences

    Paolo Bestagini;Simone Milani;Marco Tagliasacchi;Stefano Tubaro

  • Landmine detection from GPR data using convolutional neural networks

    Silvia Lameri;Federico Lombardi;Paolo Bestagini;Maurizio Lualdi

  • A machine learning approach to facies classification using well logs

    Paolo Bestagini;Vincenzo Lipari;Stefano Tubaro

  • First Steps Toward Camera Model Identification with Convolutional Neural Networks

    Luca Bondi;Luca Baroffio;David Güera;Paolo Bestagini

  • Seismic data interpolation through convolutional autoencoder

    Sara Mandelli;Federico Borra;Vincenzo Lipari;Paolo Bestagini

  • Interpolation and Denoising of Seismic Data using Convolutional Neural Networks.

    Sara Mandelli;Vincenzo Lipari;Paolo Bestagini;Stefano Tubaro

  • Video codec identification

    P. Bestagini;A. Allam;S. Milani;M. Tagliasacchi

  • Synthetic speech detection through short-term and long-term prediction traces

    Clara Borrelli;Paolo Bestagini;Fabio Antonacci;Augusto Sarti

  • Satellite image forgery detection and localization using GAN and One-Class classifier

    Sri Kalyan Yarlagadda;David Güera;Paolo Bestagini;Fengqing Maggie Zhu

  • Deepfake Speech Detection Through Emotion Recognition: A Semantic Approach

    Unknown

  • Multiple compression detection for video sequences

    S. Milani;P. Bestagini;M. Tagliasacchi;S. Tubaro

  • Training Strategies and Data Augmentations in CNN-based DeepFake Video Detection

    Luca Bondi;Edoardo Daniele Cannas;Paolo Bestagini;Stefano Tubaro

  • A Preliminary Study on Convolutional Neural Networks for Camera Model Identification

    Luca Bondi;David Güera;Luca Baroffio;Paolo Bestagini

  • Do Deepfakes Feel Emotions? A Semantic Approach to Detecting Deepfakes Via Emotional Inconsistencies

    Brian Hosler;Davide Salvi;Anthony Murray;Fabio Antonacci

  • A Counter-Forensic Method for CNN-Based Camera Model Identification

    David Guera;Yu Wang;Luca Bondi;Paolo Bestagini

  • Data-Driven Feature Characterization Techniques for Laser Printer Attribution

    Anselmo Ferreira;Luca Bondi;Luca Baroffio;Paolo Bestagini

  • Facing Device Attribution Problem for Stabilized Video Sequences

    Sara Mandelli;Paolo Bestagini;Luisa Verdoliva;Stefano Tubaro

  • A Geometrical–Statistical Approach to Outlier Removal for TDOA Measurements

    Marco Compagnoni;Alessia Pini;Antonio Canclini;Paolo Bestagini

  • Camera identification with deep convolutional networks

    Luca Baroffio;Luca Bondi;Paolo Bestagini;Stefano Tubaro

Frequent Co-Authors

Stefano Tubaro
Stefano Tubaro Polytechnic University of Milan
Augusto Sarti
Augusto Sarti Polytechnic University of Milan
Marco Tagliasacchi
Marco Tagliasacchi Google (Switzerland)
Edward J. Delp
Edward J. Delp Purdue University West Lafayette
Anderson Rocha
Anderson Rocha State University of Campinas
Luisa Verdoliva
Luisa Verdoliva University of Naples Federico II
Alessandro Piva
Alessandro Piva University of Florence
Andrea Melloni
Andrea Melloni Polytechnic University of Milan
Mauro Barni
Mauro Barni University of Siena
Davide Cozzolino
Davide Cozzolino University of Naples Federico II

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online degrees can greatly expand your options for studying Computer Science in the USA, offering flexibility and broad access to quality education. Many students consider the best masters degree to get in order to boost career prospects in fields like data science, artificial intelligence, and software development.

For those looking for a faster or more affordable path, 2 year online degrees provide a solid foundation and open doors to entry-level tech careers or transfer opportunities to four-year programs. Cost is also a key consideration; you can find the cheapest online degrees to keep educational expenses manageable while gaining valuable skills.

If your academic history includes a lower GPA, don’t worry—there are best colleges for low gpa students that offer quality programs and support for your success. With so many flexible pathways available, gaining a computer science qualification is more accessible than ever.

Best Scientists Citing Paolo Bestagini

Trending Scientists

Recently Published Articles