World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
43
Citations
8641
World Ranking
7931
National Ranking
208

Marco Turchi 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 Marco Turchi 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: 198 publications — 46th percentile

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

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

Marco Turchi 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 Marco Turchi 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

Marco Turchi is affiliated with the Fondazione Bruno Kessler in Italy and specializes in computer science with a strong emphasis on artificial intelligence and language technologies. Their research output focuses on several interconnected subfields including natural language processing techniques, speech recognition and synthesis, and multimodal machine learning applications.

The core topics of Marco Turchi's work encompass:

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

Among the recent papers authored or co-authored by Marco Turchi are:

  • 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))
  • How to Split: the Effect of Word Segmentation on Gender Bias in Speech Translation (2021, Institutional Research Information System (Università degli Studi di Trento))
  • Simultaneous Speech Translation for Live Subtitling: from Delay to Display (2021, arXiv (Cornell University))

Frequent co-authors working with Marco Turchi include:

  • Matteo Negri
  • Marco Gaido
  • Sara Papi
  • Luisa Bentivogli
  • Alina Karakanta

Marco Turchi's research has been disseminated primarily through venues such as:

  • 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

Their contributions span over 100 publications, predominantly within computer science and more specifically artificial intelligence. They have actively contributed to advancing methods in speech translation, neural machine translation for low-resource languages, and hybrid audio segmentation techniques. The application of their work often intersects with audiovisual media, addressing subtitle generation and speech dialogue systems.

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

  • Support vector machines

    Alessia Mammone;Marco Turchi;Nello Cristianini

  • Estimating the Sentence-Level Quality of Machine Translation Systems

    Lucia Specia;Marco Turchi;Nicola Cancedda;Nello Cristianini

  • Comparative experiments using supervised learning and machine translation for multilingual sentiment analysis

    Alexandra Balahur;Marco Turchi

  • MuST-C: a Multilingual Speech Translation Corpus

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

  • Machine translation evaluation versus quality estimation

    Lucia Specia;Dhwaj Raj;Marco Turchi

  • Findings of the IWSLT 2022 Evaluation Campaign

    Unknown

  • SentiWords: Deriving a High Precision and High Coverage Lexicon for Sentiment Analysis

    Lorenzo Gatti;Marco Guerini;Marco Turchi

  • 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

  • Multilingual Sentiment Analysis using Machine Translation

    Alexandra Balahur;Marco Turchi

  • Sentiment Analysis: How to Derive Prior Polarities from SentiWordNet

    Marco Guerini;Lorenzo Gatti;Marco Turchi

  • The IWSLT 2018 Evaluation Campaign

    Niehues Jan;Roldano Cattoni;Stüker Sebastian;Mauro Cettolo

  • 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 Multilingual TEDx Corpus for Speech Recognition and Translation

    Elizabeth Salesky;Matthew Wiesner;Jacob Bremerman;Roldano Cattoni

Frequent Co-Authors

Luisa Bentivogli
Luisa Bentivogli Fondazione Bruno Kessler
Marcello Federico
Marcello Federico Amazon (United States)
Lucia Specia
Lucia Specia Imperial College London
Nello Cristianini
Nello Cristianini University of Bath
Tijl De Bie
Tijl De Bie Ghent University
Mauro Cettolo
Mauro Cettolo Fondazione Bruno Kessler
Philipp Koehn
Philipp Koehn Johns Hopkins University
Christof Monz
Christof Monz University of Amsterdam
Barry Haddow
Barry Haddow University of Edinburgh
Karin Verspoor
Karin Verspoor RMIT University

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