World's Best Scientists 2026 revealed!
Award Badge
Computer Science
Italy
2025

D-Index & Metrics

Computer Science

D-Index
52
Citations
9885
World Ranking
5125
National Ranking
110

Umberto Straccia 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 Umberto Straccia 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: 253 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.

Umberto Straccia 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 Umberto Straccia 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: 52 D-Index — 65th percentile

65% 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

  • 2025 - Research.com Computer Science in Italy Leader Award
  • 2023 - Research.com Computer Science in Italy Leader Award
  • 2022 - Research.com Computer Science in Italy Leader Award

Overview

Umberto Straccia is affiliated with the National Research Council (CNR) in Italy. Their research primarily falls within the field of Computer Science, with a strong focus on Artificial Intelligence. Additional subfields include Computational Theory and Mathematics, Management Science and Operations Research, Molecular Biology, and Information Systems.

The main topics addressed in their work encompass:

  • Semantic Web and Ontologies
  • Logic, Reasoning, and Knowledge
  • Rough Sets and Fuzzy Logic
  • Multi-Agent Systems and Negotiation
  • Text and Document Classification Technologies
  • Multi-Criteria Decision Making
  • Biomedical Text Mining and Ontologies

Umberto Straccia's body of research includes several notable recent papers. These include:

  • "Fudge: Fuzzy ontology building with consensuated fuzzy datatypes" (2020), published in Fuzzy Sets and Systems
  • "Defeasible RDFS via rational closure" (2022), published in Information Sciences
  • "Defeasible RDFS via Rational Closure" (2020), published on arXiv (Cornell University)
  • "Fuzzy OWL-Boost: Learning fuzzy concept inclusions via real-valued boosting" (2021), published in Fuzzy Sets and Systems
  • "A General Framework for Modelling Conditional Reasoning -- Preliminary Report" (2022), published on arXiv (Cornell University)

The venues where they frequently publish include:

  • arXiv (Cornell University)
  • Fuzzy Sets and Systems
  • Information Sciences
  • SSRN Electronic Journal

Collaborations form a notable part of their scholarly output. Frequent co-authors include:

  • Giovanni Casini
  • Franco Alberto Cardillo
  • Franca Debole
  • Ignacio Huitzil
  • Fernando Bobillo

Best Publications

  • Reasoning within fuzzy description logics

    Umberto Straccia

  • Managing uncertainty and vagueness in description logics for the Semantic Web

    Thomas Lukasiewicz;Umberto Straccia

  • Fuzzy ontology representation using OWL 2

    Fernando Bobillo;Umberto Straccia

  • fuzzyDL: An expressive fuzzy description logic reasoner

    F. Bobillo;U. Straccia

  • A model of multimedia information retrieval

    Carlo Meghini;Fabrizio Sebastiani;Umberto Straccia

  • A fuzzy description logic for the semantic web.

    Umberto Straccia

  • Web metasearch: rank vs. score based rank aggregation methods

    M. Elena Renda;Umberto Straccia

  • Towards a fuzzy description logic for the semantic web (preliminary report)

    U. Straccia

  • A Fuzzy Description Logic

    Umberto Straccia

  • A model of information retrieval based on a terminological logic

    Carlo Meghini;Fabrizio Sebastiani;Umberto Straccia;Costantino Thanos

  • User Profile Modeling and Applications to Digital Libraries

    Giuseppe Amato;Umberto Straccia

  • Chapter 4 A fuzzy description logic for the semantic web

    Umberto Straccia

  • Rational closure for defeasible description logics

    Giovanni Casini;Umberto Straccia

  • A personalized collaborative digital library environment: a model and an application

    M. Elena Renda;Umberto Straccia

  • A general framework for representing, reasoning and querying with annotated Semantic Web data

    Antoine Zimmermann;Nuno Lopes;Axel Polleres;Umberto Straccia

  • Description logics with fuzzy concrete domains

    Umberto Straccia

  • Transforming Fuzzy Description Logics into Classical Description Logics

    Umberto Straccia

  • Defeasible inheritance-based description logics

    Giovanni Casini;Umberto Straccia

  • Fuzzy description logics under Gödel semantics

    Fernando Bobillo;Miguel Delgado;Juan Gómez-Romero;Umberto Straccia

  • Fuzzy description logics with general t-norms and datatypes

    Fernando Bobillo;Umberto Straccia

  • A General Framework for Representing, Reasoning and Querying with Annotated Semantic Web Data (updated version)

    Antoine Zimmermann;Nuno Lopes;Axel Polleres;Umberto Straccia

Frequent Co-Authors

Fabrizio Sebastiani
Fabrizio Sebastiani Institute of Information Science and Technologies
Tommaso Di Noia
Tommaso Di Noia Polytechnic University of Bari
Eugenio Di Sciascio
Eugenio Di Sciascio Polytechnic University of Bari
Axel Polleres
Axel Polleres Vienna University of Economics and Business
Thomas Lukasiewicz
Thomas Lukasiewicz University of Oxford
Francesco M. Donini
Francesco M. Donini Tuscia University
Jeff Z. Pan
Jeff Z. Pan University of Edinburgh
Giuseppe Amato
Giuseppe Amato Institute of Information Science and Technologies

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 often leads students to consider a range of related online degree options. Many choose specialized programs like the cheapest data science degree programs, which offer valuable skills in analytics at a lower cost. Others pursue advanced technical knowledge by enrolling in an online master’s in electrical engineering degree to stay competitive in fast-evolving tech sectors.

For those seeking to quickly boost their credentials or switch fields, there are 3-month certificate programs that pay well, providing targeted skills with minimal time commitment. Additionally, anyone looking to rapidly advance their career might consider the shortest master degree programs, which help graduates complete their studies efficiently without sacrificing academic quality.

These pathways empower students to tailor their learning, maximize flexibility, and enter high-demand tech careers faster than ever.

Best Scientists Citing Umberto Straccia

Trending Scientists

Recently Published Articles