World's Best Scientists 2026 revealed!
Luisa Bentivogli

Luisa Bentivogli

D-Index & Metrics

Computer Science

D-Index
31
Citations
5710
World Ranking
13451
National Ranking
483

Luisa Bentivogli 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 Luisa Bentivogli 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: 128 publications — 18th percentile

18% of scientists in this discipline score the same or lower.

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

Luisa Bentivogli 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 Luisa Bentivogli 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: 31 D-Index — 6th percentile

6% of scientists in this discipline score the same or lower.

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

Overview

Luisa Bentivogli is affiliated with the Fondazione Bruno Kessler in Italy, where their research focuses on computer science with an emphasis on artificial intelligence and language technologies. Their work spans several related subfields, including language and linguistics, gender studies, and signal processing.

Their recent scholarly output includes papers published in various reputable venues. Notable publications are:

  • MuST-C: A multilingual corpus for end-to-end speech translation, 2020, Computer Speech & Language
  • Gender Neutralization for an Inclusive Machine Translation: from Theoretical Foundations to Open Challenges, 2023, arXiv (Cornell University)
  • How to Split: the Effect of Word Segmentation on Gender Bias in Speech Translation, 2021, Institutional Research Information System (Università degli Studi di Trento)
  • Good, but not always Fair: An Evaluation of Gender Bias for three Commercial Machine Translation Systems, 2024, HERMES - Journal of Language and Communication in Business
  • Translation in the Hands of Many: Centering Lay Users in Machine Translation Interactions, 2025, arXiv (Cornell University)

Bentivogli collaborates frequently with a group of scholars, indicating a sustained partnership in research activities. Frequent co-authors include Matteo Negri, Marco Gaido, Beatrice Savoldi, Sara Papi, and Marco Turchi.

The venues where Bentivogli most commonly publishes reflect an interest in open-access and specialized outlets in language technologies and computational linguistics. The most frequent publication venues are:

  • arXiv (Cornell University)
  • Computer Speech & Language
  • HERMES - Journal of Language and Communication in Business
  • Patterns
  • Institutional Research Information System (Università degli Studi di Trento)

Their main fields of study concentrate heavily on computer science with key subfields and areas of specialization including:

  • Artificial Intelligence
  • Language and Linguistics
  • Gender Studies
  • Signal Processing
  • General Health Professions

Key topics in Bentivogli's body of work highlight expertise in natural language processing and translation, particularly in how language technologies interact with social dimensions such as gender. Their main topics of study are:

  • Natural Language Processing Techniques
  • Topic Modeling
  • Text Readability and Simplification
  • Speech Recognition and Synthesis
  • Speech and dialogue systems
  • Translation Studies and Practices
  • Gender Studies in Language

Best Publications

  • A SICK cure for the evaluation of compositional distributional semantic models

    Marco Marelli;Stefano Menini;Marco Baroni;Luisa Bentivogli

  • The Seventh PASCAL Recognizing Textual Entailment Challenge.

    Luisa Bentivogli;Peter Clark;Ido Dagan;Danilo Giampiccolo

  • Neural versus Phrase-Based Machine Translation Quality: a Case Study

    Luisa Bentivogli;Arianna Bisazza;Mauro Cettolo;Marcello Federico

  • SemEval-2014 Task 1: Evaluation of Compositional Distributional Semantic Models on Full Sentences through Semantic Relatedness and Textual Entailment

    Marco Marelli;Luisa Bentivogli;Marco Baroni;Raffaella Bernardi

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

    Luisa Bentivogli;Pamela Forner;Bernardo Magnini;Emanuele Pianta

  • Report on the 11th IWSLT Evaluation Campaign, IWSLT 2014

    Mauro Cettolo;J. Niehues;S. Stüker;Luisa Bentivogli

  • MuST-C: a Multilingual Speech Translation Corpus

    Mattia Antonino Di Gangi;Roldano Cattoni;Luisa Bentivogli;Matteo Negri

  • The IWSLT 2016 Evaluation Campaign

    Mauro Cettolo;Niehues Jan;Stüker Sebastian;Luisa Bentivogli

  • SemEval-2013 Task 7: The Joint Student Response Analysis and 8th Recognizing Textual Entailment Challenge

    Myroslava Dzikovska;Rodney Nielsen;Chris Brew;Claudia Leacock

  • The IWSLT 2015 Evaluation Campaign

    Mauro Cettolo;Jan Niehues;Sebastian Stüker;Luisa Bentivogli

  • Report on the 11th IWSLT evaluation campaign.

    Mauro Cettolo;Jan Niehues;Sebastian Stüker;Luisa Bentivogli

  • Findings of the IWSLT 2022 Evaluation Campaign

    Unknown

  • Overview of the IWSLT 2011 evaluation campaign.

    Marcello Federico;Luisa Bentivogli;Michael Paul;Sebastian Stüker

  • MuST-C: A multilingual corpus for end-to-end speech translation

    Roldano Cattoni;Mattia Antonino Di Gangi;Mattia Antonino Di Gangi;Luisa Bentivogli;Matteo Negri

  • Overview of the IWSLT 2017 Evaluation Campaign

    Mauro Cettolo;Marcello Federico;Luisa Bentivogli;Niehues Jan

  • Gender Bias in Machine Translation

    Beatrice Savoldi;Marco Gaido;Luisa Bentivogli;Matteo Negri

  • Exploiting parallel texts in the creation of multilingual semantically annotated resources: the MultiSemCor Corpus

    L. Bentivogli;E. Pianta

  • Report on the 10th IWSLT evaluation campaign.

    Mauro Cettolo;Jan Niehues;Sebastian Stüker;Luisa Bentivogli

  • Divide and Conquer: Crowdsourcing the Creation of Cross-Lingual Textual Entailment Corpora

    Matteo Negri;Luisa Bentivogli;Yashar Mehdad;Danilo Giampiccolo

  • Neural versus Phrase-Based Machine Translation Quality: a Case Study

    Luisa Bentivogli;Arianna Bisazza;Mauro Cettolo;Marcello Federico

  • Looking for lexical gaps

    Luisa Bentivogli;Emanuelle Pianta

  • Semeval-2012 Task 8: Cross-lingual Textual Entailment for Content Synchronization

    Matteo Negri;Alessandro Marchetti;Yashar Mehdad;Luisa Bentivogli

  • FINDINGS OF THE IWSLT 2023 EVALUATION CAMPAIGN

    Unknown

Frequent Co-Authors

Marco Turchi
Marco Turchi Fondazione Bruno Kessler
Marcello Federico
Marcello Federico Amazon (United States)
Mauro Cettolo
Mauro Cettolo Fondazione Bruno Kessler
Matteo Negri
Matteo Negri University of Pavia
Ido Dagan
Ido Dagan Bar-Ilan University
Jan Niehues
Jan Niehues Karlsruhe Institute of Technology
Marco Baroni
Marco Baroni Institució Catalana de Recerca i Estudis Avançats
Bernardo Magnini
Bernardo Magnini Fondazione Bruno Kessler
Michael J. Paul
Michael J. Paul University of Colorado Boulder
Peter Clark
Peter Clark Allen Institute for Artificial Intelligence

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