World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
11097
World Ranking
7082
National Ranking
173

Piero Fraternali 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 Piero Fraternali 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: 287 publications — 71st percentile

71% of scientists in this discipline score the same or lower.

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

Piero Fraternali 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 Piero Fraternali 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: 45 D-Index — 51st percentile

51% of scientists in this discipline score the same or lower.

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

Overview

Piero Fraternali is affiliated with the Polytechnic University of Milan in Italy. Their research spans multiple areas primarily within computer science and engineering, producing numerous publications focused on advanced computational methods and applications. The scientist's work includes contributions across several specialized subfields such as computer vision and pattern recognition, artificial intelligence, media technology, signal processing, and information systems.

Their research topics highlight a broad interest in advanced neural network applications, remote-sensing image classification, anomaly detection techniques, time series analysis and forecasting, cryospheric studies, adversarial robustness in machine learning, and water systems optimization. These thematic focuses demonstrate a blend of both theoretical development and applied sciences.

Recent publications by Piero Fraternali include:

  • "Long-term water conservation is fostered by smart meter-based feedback and digital user engagement" (2021) published in npj Clean Water
  • "Learning to Identify Illegal Landfills through Scene Classification in Aerial Images" (2021) published in Remote Sensing
  • "AerialWaste dataset for landfill discovery in aerial and satellite images" (2023) published in Scientific Data
  • "Taxonomy-Based Discovery and Annotation of Functional Areas in the City" (2021) published in Proceedings of the International AAAI Conference on Web and Social Media
  • "Comparing CAM Algorithms for the Identification of Salient Image Features in Iconography Artwork Analysis" (2021) published in Journal of Imaging

Frequent co-authors collaborating with Piero Fraternali include:

  • Nicolò Oreste Pinciroli Vago
  • Rocio Nahime Torres
  • Federico Milani
  • Niccoló Zangrando
  • Sergio Luis Herrera González

The scientist's work has been featured in a variety of publication venues. Prominent among these are:

  • Zenodo (CERN European Organization for Nuclear Research)
  • arXiv (Cornell University)
  • Remote Sensing
  • Neural Computing and Applications
  • Journal of Imaging

Piero Fraternali's contributions reflect a sustained engagement with topics such as neural network techniques and remote sensing, supporting developments in both data-driven analysis and applied technological solutions within engineering and computer science domains.

Best Publications

  • Web Modeling Language (WebML): a modeling language for designing Web sites

    Stefano Ceri;Piero Fraternali;Aldo Bongio

  • Designing Data-Intensive Web Applications

    Stefano Ceri;Piero Fraternali;Aldo Bongio;Marco Brambilla

  • Tools and approaches for developing data-intensive Web applications: a survey

    Piero Fraternali

  • An Introduction to Information Retrieval

    Stefano Ceri;Alessandro Bozzon;Marco Brambilla;Emanuele Della Valle

  • XML-GL: a graphical language for querying and restructuring XML documents

    Stefano Ceri;Sara Comai;Ernesto Damiani;Piero Fraternali

  • Model-driven development of Web applications: the AutoWeb system

    Piero Fraternali;Paolo Paolini

  • On the Use of Higher-Order Model Transformations

    Massimo Tisi;Frédéric Jouault;Piero Fraternali;Stefano Ceri

  • Process modeling in Web applications

    Marco Brambilla;Stefano Ceri;Piero Fraternali;Ioana Manolescu

  • Designing Database Applications with Objects and Rules: The Idea Methodology

    Stefano Ceri;Piero Fraternali

  • Automatic generation of production rules for integrity maintenance

    Stefano Ceri;Piero Fraternali;Stefano Paraboschi;Letizia Tanca

  • Conceptual modeling of data-intensive Web applications

    S. Ceri;P. Fraternali;M. Matera

  • A Conceptual Model and a Tool Environment for Developing More Scalable, Dynamic, and Customizable Web Applications

    Piero Fraternali;Paolo Paolini

  • Conceptual modeling and code generation for rich internet applications

    Alessandro Bozzon;Sara Comai;Piero Fraternali;Giovanni Toffetti Carughi

  • Rich Internet Applications

    Piero Fraternali;Gustavo Rossi;Fernando Sánchez-Figueroa

  • Data-Driven, One-To-One Web Site Generation for Data-Intensive Applications

    Stefano Ceri;Piero Fraternali;Stefano Paraboschi

  • Interaction Flow Modeling Language: Model-Driven UI Engineering of Web and Mobile Apps with IFML

    Marco Brambilla;Piero Fraternali

  • Model-driven design and deployment of service-enabled web applications

    Ioana Manolescu;Marco Brambilla;Stefano Ceri;Sara Comai

  • A structured approach for the definition of the semantics of active databases

    Piero Fraternali;Letizia Tanca

  • Putting humans in the loop: Social computing for Water Resources Management

    P. Fraternali;A. Castelletti;R. Soncini-Sessa;C. Vaca Ruiz

  • Active Rule Management in Chimera

    Stefano Ceri;Piero Fraternali;Stefano Paraboschi;Letizia Tanca

  • XML-GL: A Graphical Language for Querying and Restructuring XML Documents.

    Stefano Ceri;Sara Comai;Piero Fraternali;Stefano Paraboschi

  • Addendum to "Automatic Generation of Production Rules for Integrity Maintenance".

    Stefano Ceri;Piero Fraternali;Stefano Paraboschi;Letizia Tanca

Frequent Co-Authors

Marco Brambilla
Marco Brambilla Polytechnic University of Milan
Stefano Ceri
Stefano Ceri Polytechnic University of Milan
Marco Tagliasacchi
Marco Tagliasacchi Google (Switzerland)
Stefano Paraboschi
Stefano Paraboschi University of Bergamo
Andrea Emilio Rizzoli
Andrea Emilio Rizzoli Dalle Molle Institute for Artificial Intelligence Research
Letizia Tanca
Letizia Tanca Polytechnic University of Milan
Andrea Castelletti
Andrea Castelletti Polytechnic University of Milan
Ioana Manolescu
Ioana Manolescu French Institute for Research in Computer Science and Automation - INRIA
Geert-Jan Houben
Geert-Jan Houben Delft University of Technology
Luciano Baresi
Luciano Baresi Polytechnic University of Milan

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