World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
40
Citations
4859
World Ranking
9440
National Ranking
272

Vincenzo Moscato 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 Vincenzo Moscato 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: 251 publications — 63rd percentile

63% of scientists in this discipline score the same or lower.

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

Vincenzo Moscato 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 Vincenzo Moscato 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: 40 D-Index — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Overview

Vincenzo Moscato is affiliated with the University of Naples Federico II in Italy. Their primary research area lies within Computer Science, with a notable focus on Artificial Intelligence, which constitutes a significant portion of their published work. They have also contributed to the fields of Information Systems, Statistical and Nonlinear Physics, Sociology and Political Science, and Molecular Biology.

Moscato's research spans several key topics, including Complex Network Analysis Techniques, Topic Modeling, Spam and Phishing Detection, Misinformation and Its Impacts, Explainable Artificial Intelligence (XAI), Machine Learning in Healthcare, and Natural Language Processing Techniques.

Their recent publications include:

  • A benchmark of machine learning approaches for credit score prediction, 2020, Expert Systems with Applications
  • An Epidemiological Neural Network Exploiting Dynamic Graph Structured Data Applied to the COVID-19 Outbreak, 2020, IEEE Transactions on Big Data
  • An Emotional Recommender System for Music, 2020, IEEE Intelligent Systems
  • Deep Learning for HDD Health Assessment: An Application Based on LSTM, 2020, IEEE Transactions on Computers
  • A survey about community detection over On-line Social and Heterogeneous Information Networks, 2021, Knowledge-Based Systems

Frequent co-authors collaborating with Moscato include:

  • Giancarlo Sperlí
  • Marco Postiglione
  • Valerio La Gatta
  • Antonio Galli
  • Antonino Ferraro

Moscato's work is often published in prominent venues such as:

  • Expert Systems with Applications
  • arXiv (Cornell University)
  • Knowledge-Based Systems
  • IEEE Intelligent Systems
  • Computers & Security

Best Publications

  • A benchmark of machine learning approaches for credit score prediction

    Vincenzo Moscato;Antonio Picariello;Giancarlo Sperlí

  • Foveated shot detection for video segmentation

    G. Boccignone;A. Chianese;V. Moscato;A. Picariello

  • A Constrained Probabilistic Petri Net Framework for Human Activity Detection in Video

    Massimiliano Albanese;Rama Chellappa;Vincenzo Moscato;Antonio Picariello

  • An Epidemiological Neural Network Exploiting Dynamic Graph Structured Data Applied to the COVID-19 Outbreak

    Valerio La Gatta;Vincenzo Moscato;Marco Postiglione;Giancarlo Sperli

  • 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

  • A collaborative user-centered framework for recommending items in Online Social Networks

    Francesco Colace;Massimo De Santo;Luca Greco;Vincenzo Moscato

  • A Constrained Probabilistic Petri Net Framework for Human Activity Detection in Video*

    Unknown

  • A Multimedia Recommender System

    Massimiliano Albanese;Antonio d’Acierno;Vincenzo Moscato;Fabio Persia

  • An Emotional Recommender System for Music

    Vincenzo Moscato;Antonio Picariello;Giancarlo Sperli

  • Recommending multimedia visiting paths in cultural heritage applications

    Ilaria Bartolini;Vincenzo Moscato;Ruggero G. Pensa;Antonio Penta

  • An Edge Intelligence Empowered Recommender System Enabling Cultural Heritage Applications

    Xin Su;Giancarlo Sperli;Vincenzo Moscato;Antonio Picariello

  • Recognizing human behaviours in online social networks

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

  • Deep Learning for HDD health assessment: an application based on LSTM

    Aniello De santo;Antonio Galli;Michela Gravina;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

  • A survey about community detection over On-line Social and Heterogeneous Information Networks

    Vincenzo Moscato;Giancarlo Sperlì

  • SmARTweet: A Location-Based Smart Application for Exhibits and Museums

    Angelo Chianese;Fiammetta Marulli;Vincenzo Moscato;Francesco Piccialli

  • A Multimedia Semantic Recommender System for Cultural Heritage Applications

    Massimiliano Albanese;Antonio d'Acierno;Vincenzo Moscato;Fabio Persia

  • 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

  • Terminological ontology learning and population using latent Dirichlet allocation

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

  • Chatbots Meet eHealth: Automatizing Healthcare

    Flora Amato;Stefano Marrone;Vincenzo Moscato;Gabriele Piantadosi

Frequent Co-Authors

Antonio Picariello
Antonio Picariello University of Naples Federico II
Flora Amato
Flora Amato University of Naples Federico II
Carlo Sansone
Carlo Sansone University of Naples Federico II
Aniello Castiglione
Aniello Castiglione University of Salerno
Francesco Piccialli
Francesco Piccialli University of Naples Federico II
V. S. Subrahmanian
V. S. Subrahmanian Dartmouth College
Letizia Tanca
Letizia Tanca Polytechnic University of Milan
Anna Rita Fasolino
Anna Rita Fasolino University of Naples Federico II
Antonio Pescape
Antonio Pescape University of Naples Federico II
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

Exploring Computer Science in the USA opens doors to a variety of related online degrees and career options. Many students may want to broaden their expertise by considering fields such as engineering, physics, or data science. These disciplines offer flexible online programs and are highly relevant to modern tech industries.

For those looking for engineering pathways, check out the cheapest online mechanical engineering degree programs, which combine cost-effectiveness with solid career prospects. Similarly, students interested in foundational sciences can explore accredited online physics degrees that offer rigorous training suitable for tech careers.

Data science is a rapidly growing field interconnected with computer science. High-quality and affordable data science degrees are available online, preparing graduates for in-demand roles in technology and analytics. Another related option is electrical engineering. Refer to this online electrical engineering degree ranking to find the best programs and expand your opportunities in hardware, systems, and design.

Choosing an online degree in these interconnected fields can diversify your skills, increase your career flexibility, and help you stay competitive in the evolving tech landscape.

Best Scientists Citing Vincenzo Moscato

Trending Scientists

Recently Published Articles