World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
34
Citations
2813
World Ranking
12326
National Ranking
430

Flora Amato 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 Flora Amato 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: 208 publications — 49th percentile

49% of scientists in this discipline score the same or lower.

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

Flora Amato 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 Flora Amato 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: 34 D-Index — 16th percentile

16% of scientists in this discipline score the same or lower.

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

Overview

Flora Amato is affiliated with the University of Naples Federico II in Italy. Their research spans multiple areas within computer science, engineering, and social sciences, with a particular focus on topics at the intersection of technology and law, digital forensics, and artificial intelligence.

Their main fields of study include:

  • Computer Science
  • Engineering
  • Social Sciences

Within these fields, the scientist has made contributions to the following subfields:

  • Artificial Intelligence
  • Information Systems
  • Computer Vision and Pattern Recognition
  • Political Science and International Relations
  • Building and Construction

The primary research topics addressed in their work cover:

  • Artificial Intelligence in Law
  • Recommender Systems and Techniques
  • Topic Modeling
  • Autonomous Vehicle Technology and Safety
  • Digital and Cyber Forensics
  • Multi-Agent Systems and Negotiation
  • Biomedical Text Mining and Ontologies

Recent papers authored by Flora Amato include:

  • "CAN-Bus Attack Detection With Deep Learning", 2021, published in IEEE Transactions on Intelligent Transportation Systems
  • "A semantic-based methodology for digital forensics analysis", 2020, published in Journal of Parallel and Distributed Computing
  • "A Model for Verification and Validation of Law Compliance of Smart Contracts in IoT Environment", 2021, published in IEEE Transactions on Industrial Informatics
  • "An agent-based approach for recommending cultural tours", 2020, published in Pattern Recognition Letters
  • "Enhancing random forest classification with NLP in DAMEH: A system for DAta Management in eHealth Domain", 2021, published in Neurocomputing

Their publications have appeared frequently in venues including:

  • Information
  • IEEE Transactions on Intelligent Transportation Systems
  • Journal of Parallel and Distributed Computing
  • IEEE Transactions on Industrial Informatics
  • Pattern Recognition Letters

Flora Amato has also contributed to book publications through notable publishers:

  • Advances on P2P, Parallel, Grid, Cloud and Internet Computing, 2020, Springer International Publishing
  • Advanced Information Networking and Applications, 2020, Springer Nature

Regular collaborators in their work include:

  • Francesco Moscato
  • Giovanni Cozzolino
  • Mattia Fonisto
  • Vincenzo Moscato
  • Francesco Bonavolontà

Best Publications

  • The Talking Museum Project

    Flora Amato;Angelo Chianese;Antonino Mazzeo;Vincenzo Moscato

  • SOS: A multimedia recommender System for Online Social networks

    Flora Amato;Vincenzo Moscato;Antonio Picariello;Francesco Piccialli

  • Recognizing human behaviours in online social networks

    Flora Amato;Aniello Castiglione;Aniello De Santo;Vincenzo Moscato

  • SNOPS: a smart environment for cultural heritage applications

    Flora Amato;Angelo Chianese;Vincenzo Moscato;Antonio Picariello

  • Exploiting Cloud Technologies and Context Information for Recommending Touristic Paths

    Flora Amato;Antonino Mazzeo;Vincenzo Moscato;Antonio Picariello

  • Exploiting Cloud and Workflow Patterns for the Analysis of Composite Cloud Services

    Flora Amato;Francesco Moscato

  • CAN-Bus Attack Detection With Deep Learning

    Flora Amato;Luigi Coppolino;Francesco Mercaldo;Francesco Moscato

  • A model driven approach to data privacy verification in E-Health systems

    Flora Amato;Francesco Moscato

  • Model-driven engineering of cloud components in MetaMORPhOSY

    Francesco Moscato;Flora Amato;Alba Amato;Rocco Aversa

  • Big Data Meets Digital Cultural Heritage: Design and Implementation of SCRABS, A Smart Context-awaRe Browsing Assistant for Cultural EnvironmentS

    Flora Amato;Vincenzo Moscato;Antonio Picariello;Francesco Colace

  • Pattern-based orchestration and automatic verification of composite cloud services

    Flora Amato;Francesco Moscato

  • Terminological ontology learning and population using latent Dirichlet allocation

    Francesco Colace;Massimo De Santo;Luca Greco;Flora Amato

  • Analyse digital forensic evidences through a semantic-based methodology and NLP techniques

    Flora Amato;Giovanni Cozzolino;Vincenzo Moscato;Francesco Moscato

  • Chatbots Meet eHealth: Automatizing Healthcare

    Flora Amato;Stefano Marrone;Vincenzo Moscato;Gabriele Piantadosi

  • Multimedia Social Network Modeling: A Proposal

    Flora Amato;Vincenzo Moscato;Antonio Picariello;Giancarlo Sperli

  • Multilayer Perceptron: An Intelligent Model for Classification and Intrusion Detection

    Flora Amato;Nicola Mazzocca;Francesco Moscato;Emilio Vivenzio

  • Challenge: Processing web texts for classifying job offers

    Flora Amato;Roberto Boselli;Mirko Cesarini;Fabio Mercorio

  • An FPGA-Based Smart Classifier for Decision Support Systems

    Flora Amato;Mario Barbareschi;Valentina Casola;Antonino Mazzeo

  • Multimedia story creation on social networks

    Flora Amato;Aniello Castiglione;Aniello Castiglione;Fabio Mercorio;Mario Mezzanzanica

  • Centrality in heterogeneous social networks for lurkers detection: An approach based on hypergraphs

    Flora Amato;Vincenzo Moscato;Antonio Picariello;Francesco Piccialli

  • Building RDF Ontologies from Semi-Structured Legal Documents

    F. Amato;A. Mazzeo;A. Penta;A. Picariello

  • Recommendation in Social Media Networks

    Flora Amato;Vincenzo Moscato;Antonio Picariello;Giancarlo Sperli

  • A Framework for Semantic Interoperability over the Cloud

    F. Amato;A. Mazzeo;V. Moscato;A. Picariello

  • Improving security in cloud by formal modeling of IaaS resources

    Flora Amato;Francesco Moscato;Vincenzo Moscato;Francesco Colace

Frequent Co-Authors

Antonio Picariello
Antonio Picariello University of Naples Federico II
Vincenzo Moscato
Vincenzo Moscato University of Naples Federico II
Fatos Xhafa
Fatos Xhafa Universitat Politècnica de Catalunya
Carlo Sansone
Carlo Sansone University of Naples Federico II
Aniello Castiglione
Aniello Castiglione University of Salerno
Leonard Barolli
Leonard Barolli Fukuoka Institute of Technology
Francesco Piccialli
Francesco Piccialli University of Naples Federico II
Joanna Kolodziej
Joanna Kolodziej NASK National Research Institute
Giuseppe De Pietro
Giuseppe De Pietro National Research Council (CNR)
Leopoldo Angrisani
Leopoldo Angrisani 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

Studying Computer Science in the USA opens doors to a variety of related online degree programs and lucrative career opportunities. Many students explore fields such as engineering, physics, and data science to diversify their technical skills and job options.

If you’re considering a sustainable or tech-focused career, an online environmental engineering degree can complement your computer science background. For those interested in innovation and design, understanding the mechanical engineering cost of education is an essential step in planning your future.

Strong analytical and problem-solving skills gained through a computer science degree also align well with physics and data-driven fields. Students looking for affordable options can review the cheapest online physics degree programs. Additionally, the rapid growth of big data makes earning a data science degree in the USA an appealing path for ambitious students.

Exploring these related online degrees not only broadens your expertise but also enhances your employability in a competitive global market.

Best Scientists Citing Flora Amato

Trending Scientists

Recently Published Articles