World's Best Scientists 2026 revealed!
Bernardo Magnini

Bernardo Magnini

D-Index & Metrics

Computer Science

D-Index
43
Citations
10801
World Ranking
7831
National Ranking
200

Bernardo Magnini 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 Bernardo Magnini 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: 222 publications — 54th percentile

54% of scientists in this discipline score the same or lower.

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

Bernardo Magnini 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 Bernardo Magnini 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: 43 D-Index — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Overview

Bernardo Magnini is affiliated with Fondazione Bruno Kessler in Italy. Their research primarily spans the field of Computer Science, with a particular focus on Artificial Intelligence. Their scholarly production includes 55 publications in the broad field of Computer Science, with 53 specifically related to Artificial Intelligence. Subfields such as Molecular Biology, Health Information Management, Information Systems, and Health Informatics also form part of their research scope.

Their work covers several main topics, including:

  • Natural Language Processing Techniques
  • Topic Modeling
  • Speech and dialogue systems
  • Biomedical Text Mining and Ontologies
  • AI in Service Interactions
  • Machine Learning in Healthcare
  • Service-Oriented Architecture and Web Services

Magnini has contributed to numerous publications, with recent papers including:

  • "The European Language Technology Landscape in 2020: Language-Centric and Human-Centric AI for Cross-Cultural Communication in Multilingual Europe" (2020), published in arXiv (Cornell University)
  • "Simple is Better! Lightweight Data Augmentation for Low Resource Slot Filling and Intent Classification" (2020), published in arXiv (Cornell University)
  • "Medical mT5: An Open-Source Multilingual Text-to-Text LLM for The Medical Domain" (2024), published in arXiv (Cornell University)
  • "Domain-Aware Dialogue State Tracker for Multi-Domain Dialogue Systems" (2021), published in IEEE/ACM Transactions on Audio Speech and Language Processing
  • "The European Language Technology Landscape in 2020: Language-Centric and Human-Centric AI for Cross-Cultural Communication in Multilingual Europe" (2020), published in White Rose Research Online (University of Leeds, The University of Sheffield, University of York)

The prominent publication venues where Magnini has appeared include:

  • arXiv (Cornell University)
  • Italian Journal of Computational Linguistics
  • Frontiers in Disaster and Emergency Medicine
  • White Rose Research Online (University of Leeds, The University of Sheffield, University of York)
  • IEEE/ACM Transactions on Audio Speech and Language Processing

Throughout their career, Bernardo Magnini has collaborated frequently with several researchers, including:

  • Alberto Lavelli
  • Manuela Speranza
  • Tiziano Labruna
  • Andrea Zaninello
  • Sofia Brenna

Best Publications

  • The PASCAL Recognising Textual Entailment Challenge

    Ido Dagan;Oren Glickman;Bernardo Magnini

  • The Third PASCAL Recognizing Textual Entailment Challenge

    Danilo Giampiccolo;Bernardo Magnini;Ido Dagan;Bill Dolan

  • Ontology Learning from Text: Methods, Evaluation and Applications

    B. Magnini;P. Buitelaar;P. Cimiano

  • Integrating Subject Field Codes into WordNet

    Bernardo Magnini;Gabriela Cavaglia

  • Ontology Learning from Text: An Overview

    Paul Buitelaar;Philipp Cimiano;Bernardo Magnini

  • Accessing Multilingual Information Repositories

    Carol Peters;Fredric C. Gey;Julio Gonzalo;Henning Müller

  • Recognizing textual entailment: Rational, evaluation and approaches – Erratum

    Ido Dagan;Bill Dolan;Bernardo Magnini;Dan Roth

  • Revising the wordnet domains hierarchy: semantics, coverage and balancing

    Luisa Bentivogli;Pamela Forner;Bernardo Magnini;Emanuele Pianta

  • Multilingual Information Access for Text, Speech and Images

    Carol Peters;Paul Clough;Julio Gonzalo;Gareth J. F. Jones

  • ENSM-SE at CLEF 2006 : Fuzzy Proximity Method with an Adhoc Influence Function in Evaluation of Multilingual and Multi-modal Information Retrieval 7th Workshop of the Cross-Language Evaluation Forum, CLEF 2006, Alicante, Spain

    Carol Peters;Paul Clough;Fredric C. Gey;Jussi Karlgren

  • Is It the Right Answer? Exploiting Web Redundancy for Answer Validation

    Bernardo Magnini;Matteo Negri;Roberto Prevete;Hristo Tanev

  • The role of domain information in Word Sense Disambiguation

    Bernardo Magnini;Carlo Strapparava;Giovanni Pezzulo;Alfio Gliozzo

  • Recognizing textual entailment: Rational, evaluation and approaches

    Ido Dagan;Bill Dolan;Bernardo Magnini;Dan Roth

  • The MEANING Multilingual Central Repository

    J. Atserias;L. Villarejo;G. Rigau;E. Agirre

  • Weakly Supervised Approaches for Ontology Population

    Hristo Tanev;Bernardo Magnini

  • Improving User Modelling with Content-Based Techniques

    Bernardo Magnini;Carlo Strapparava

  • Overview of the CLEF 2004 multilingual question answering track

    Bernardo Magnini;Alessandro Vallin;Christelle Ayache;Gregor Erbach

  • Overview of the CLEF 2005 multilingual question answering track

    Alessandro Vallin;Bernardo Magnini;Danilo Giampiccolo;Lili Aunimo

  • The multiple language question answering track at CLEF 2003

    Bernardo Magnini;Simone Romagnoli;Alessandro Vallin;Jesús Herrera

  • Overview of the CLEF 2006 multilingual question answering track

    Bernardo Magnini;Danilo Giampiccolo;Pamela Forner;Christelle Ayache

  • Book review: recognizing textual entailment: Models and applicationsido dagan1, dan roth2, mark sammons2, and fabio massimo zanzotto31bar-ilan university, israel, 2university of illinois, urbana, il, and 3university of rome tor vergata, italy morgan & claypool synthesis lectures on human language technologies, edited by graeme hirst, volume 23, 2013, xx+200 pp; paperbound, isbn 978-1-59829-834-5; e-book, isbn 978-1-59829-835-2

    Bernardo Magnini

Frequent Co-Authors

Ido Dagan
Ido Dagan Bar-Ilan University
Carlo Strapparava
Carlo Strapparava Fondazione Bruno Kessler
Luciano Serafini
Luciano Serafini Fondazione Bruno Kessler
Maarten de Rijke
Maarten de Rijke University of Amsterdam
Julio Gonzalo
Julio Gonzalo National University of Distance Education
Eneko Agirre
Eneko Agirre University of the Basque Country
German Rigau
German Rigau University of the Basque Country
Piek Vossen
Piek Vossen Vrije Universiteit Amsterdam
Paul Clough
Paul Clough University of Sheffield
Luisa Bentivogli
Luisa Bentivogli Fondazione Bruno Kessler

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