World's Best Scientists 2026 revealed!
Matteo Negri

Matteo Negri

D-Index & Metrics

Engineering and Technology

D-Index
36
Citations
6352
World Ranking
8623
National Ranking
329

Matteo Negri publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Matteo Negri sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 126 publications — 17th percentile

17% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Matteo Negri D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Matteo Negri sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 36 D-Index — 13th percentile

13% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

Matteo Negri is affiliated with the University of Pavia in Italy and has developed a significant body of research within the field of Computer Science, with a focus on Artificial Intelligence, Language and Linguistics, and Signal Processing.

Their research extensively covers topics including:

  • Natural Language Processing Techniques
  • Topic Modeling
  • Speech Recognition and Synthesis
  • Speech and Dialogue Systems
  • Subtitles and Audiovisual Media
  • Text Readability and Simplification
  • Multimodal Machine Learning Applications

Matteo Negri has published in several venues, notably:

  • arXiv (Cornell University)
  • Institutional Research Information System (Università degli Studi di Trento)
  • Transactions of the Association for Computational Linguistics
  • Italian Journal of Computational Linguistics
  • Computer Speech & Language

Some of their recent papers include:

  • MuST-C: A multilingual corpus for end-to-end speech translation, 2020, Computer Speech & Language
  • Low Resource Neural Machine Translation: A Benchmark for Five African Languages, 2020, arXiv (Cornell University)
  • Beyond Voice Activity Detection: Hybrid Audio Segmentation for Direct Speech Translation, 2021, arXiv (Cornell University)
  • On the development of an information system for monitoring user opinion and its role for the public, 2022, Journal Of Big Data
  • Gender Neutralization for an Inclusive Machine Translation: from Theoretical Foundations to Open Challenges, 2023, arXiv (Cornell University)

Frequent collaborators in Matteo Negri's work include:

  • Marco Gaido
  • Marco Turchi
  • Luisa Bentivogli
  • Sara Papi
  • Beatrice Savoldi

Their research intersects several subfields such as Artificial Intelligence, which comprises the majority of their publications, and they contribute actively to smaller subfields like Language and Linguistics, Signal Processing, and Computer Vision and Pattern Recognition.

Best Publications

  • Findings of the 2015 Workshop on Statistical Machine Translation

    Ondřej Bojar;Rajen Chatterjee;Christian Federmann;Barry Haddow

  • Findings of the 2017 Conference on Machine Translation (WMT17)

    Ondřej Bojar;Rajen Chatterjee;Christian Federmann;Yvette Graham

  • Findings of the 2016 Conference on Machine Translation

    Ondˇrej Bojar;Rajen Chatterjee;Christian Federmann;Yvette Graham

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

    Bernardo Magnini;Matteo Negri;Roberto Prevete;Hristo Tanev

  • MuST-C: a Multilingual Speech Translation Corpus

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

  • Findings of the IWSLT 2022 Evaluation Campaign

    Unknown

  • Junction-aware extraction and regularization of urban road networks in high-resolution SAR images

    M. Negri;P. Gamba;G. Lisini;F. Tupin

  • Adapting Transformer to End-to-End Spoken Language Translation.

    Mattia Antonino Di Gangi;Matteo Negri;Marco Turchi

  • 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

  • FINDINGS OF THE IWSLT 2020 EVALUATION CAMPAIGN

    Ebrahim Ansari;Amittai Axelrod;Nguyen Bach;Ondrej Bojar

  • Multi-Domain Neural Machine Translation through Unsupervised Adaptation

    M. Amin Farajian;Marco Turchi;Matteo Negri;Marcello Federico

  • Gender Bias in Machine Translation

    Beatrice Savoldi;Marco Gaido;Luisa Bentivogli;Matteo Negri

  • Findings of the WMT 2019 Shared Task on Automatic Post-Editing

    Rajen Chatterjee;Christian Federmann;Matteo Negri;Marco Turchi

  • Linguistically Motivated Vocabulary Reduction for Neural Machine Translation from Turkish to English

    Duygu Ataman;Duygu Ataman;Matteo Negri;Marco Turchi;Marcello Federico

  • The IWSLT 2019 Evaluation Campaign

    J. Niehues;R. Cattoni;S. Stüker;M. Negri

  • The Multilingual TEDx Corpus for Speech Recognition and Translation

    Elizabeth Salesky;Matthew Wiesner;Jacob Bremerman;Roldano Cattoni

  • ESCAPE: a Large-scale Synthetic Corpus for Automatic Post-Editing

    Matteo Negri;Marco Turchi;Rajen Chatterjee;Nicola Bertoldi

  • The QALL-ME Framework: A specifiable-domain multilingual Question Answering architecture ⁎ ☆

    Óscar Ferrández;Christian Spurk;Milen Kouylekov;Iustin Dornescu

  • FINDINGS OF THE IWSLT 2023 EVALUATION CAMPAIGN

    Unknown

  • Guiding Neural Machine Translation Decoding with External Knowledge

    Rajen Chatterjee;Matteo Negri;Marco Turchi;Marcello Federico

  • Monitoring Subsurface Contamination Using Tree Branches

    Gayathri Gopalakrishnan;Gayathri Gopalakrishnan;M. Cristina Negri;Barbara S. Minsker;Charles J. Werth

  • Contextual Handling in Neural Machine Translation: Look Behind, Ahead and on Both Sides

    Ruchit Rajeshkumar Agrawal;Marco Turchi;Matteo Negri

  • Gender in Danger? Evaluating Speech Translation Technology on the MuST-SHE Corpus.

    Luisa Bentivogli;Beatrice Savoldi;Matteo Negri;Mattia Antonino Di Gangi

  • Continuous Learning from Human Post-Edits for Neural Machine Translation

    Marco Turchi;Matteo Negri;M. Amin Farajian;Marcello Federico

  • One-to-Many Multilingual End-to-End Speech Translation

    Mattia A. Di Gangi;Matteo Negri;Marco Turchi

  • Multilingual Neural Machine Translation for Low-Resource Languages

    Surafel M. Lakew;Marcello Federico;Matteo Negri;Marco Turchi

  • FBK-UPV-UEdin participation in the WMT14 Quality Estimation shared-task

    José Guilherme Camargo de Souza;Jesús González-Rubio;Christian Buck;Marco Turchi

  • Transfer Learning in Multilingual Neural Machine Translation with Dynamic Vocabulary

    Surafel Melaku Lakew;Aliia Erofeeva;Matteo Negri;Marcello Federico

  • Multi-source Neural Automatic Post-Editing: FBK's participation in the WMT 2017 APE shared task.

    Rajen Chatterjee;M. Amin Farajian;Matteo Negri;Marco Turchi

  • Findings of the WMT 2018 Shared Task on Automatic Post-Editing.

    Rajen Chatterjee;Matteo Negri;Raphael Rubino;Marco Turchi

Frequent Co-Authors

Marco Turchi
Marco Turchi Fondazione Bruno Kessler
Luisa Bentivogli
Luisa Bentivogli Fondazione Bruno Kessler
Mauro Cettolo
Mauro Cettolo Fondazione Bruno Kessler
Douglas W. Oard
Douglas W. Oard University of Maryland, College Park
Marcello Federico
Marcello Federico Amazon (United States)

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