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D-Index & Metrics

Computer Science

D-Index
52
Citations
15892
World Ranking
4980
National Ranking
2315

Marcello Federico 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 Marcello Federico 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: 255 publications — 64th percentile

64% of scientists in this discipline score the same or lower.

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

Marcello Federico 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 Marcello Federico 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

  • 2016 - ACM Senior Member

Overview

Marcello Federico is a researcher affiliated with Amazon in the United States, specializing primarily in the field of Computer Science. Their body of work encompasses various subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Language and Linguistics, and Experimental and Cognitive Psychology.

Their research topics cover several areas such as Natural Language Processing Techniques, Topic Modeling, Multimodal Machine Learning Applications, Text Readability and Simplification, Speech Recognition and Synthesis, Music and Audio Processing, and Subtitles and Audiovisual Media.

Marcello Federico's recent scholarly contributions include:

  • CoCoA-MT: A Dataset and Benchmark for Contrastive Controlled MT with Application to Formality, 2022, Findings of the Association for Computational Linguistics: NAACL 2022
  • ISOMETRIC MT: Neural Machine Translation for Automatic Dubbing, 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • Duration Modeling of Neural TTS for Automatic Dubbing, 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • Sockeye 3: Fast Neural Machine Translation with PyTorch, 2022, arXiv (Cornell University)
  • Embarrassingly Easy Document-Level MT Metrics: How to Convert Any Pretrained Metric Into a Document-Level Metric, 2022, arXiv (Cornell University)

Their frequent coauthors include Prashant Mathur, Yogesh Virkar, Brian J. Thompson, Surafel M. Lakew, and Maria Nădejde, reflecting ongoing collaborations within their research network.

Marcello Federico has published extensively in venues such as arXiv (Cornell University), ICASSP 2022, Interspeech 2022, Findings of the Association for Computational Linguistics: NAACL 2022, and Information.

In recognition of their professional contributions, they were awarded the ACM Senior Member status in 2016.

Best Publications

  • Moses: Open Source Toolkit for Statistical Machine Translation

    Philipp Koehn;Hieu Hoang;Alexandra Birch;Chris Callison-Burch

  • WIT3: Web Inventory of Transcribed and Translated Talks

    Mauro Cettolo;Christian Girardi;Marcello Federico

  • IRSTLM: an open source toolkit for handling large scale language models.

    Marcello Federico;Nicola Bertoldi;Mauro Cettolo

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

    Luisa Bentivogli;Arianna Bisazza;Mauro Cettolo;Marcello Federico

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

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

  • The IWSLT 2016 Evaluation Campaign

    Mauro Cettolo;Niehues Jan;Stüker Sebastian;Luisa Bentivogli

  • Overview of the IWSLT 2010 evaluation campaign.

    Michael Paul;Marcello Federico;Sebastian Stüker

  • The IWSLT 2015 Evaluation Campaign

    Mauro Cettolo;Jan Niehues;Sebastian Stüker;Luisa Bentivogli

  • Domain Adaptation for Statistical Machine Translation with Monolingual Resources

    Nicola Bertoldi;Marcello Federico

  • Report on the 11th IWSLT evaluation campaign.

    Mauro Cettolo;Jan Niehues;Sebastian Stüker;Luisa Bentivogli

  • Findings of the IWSLT 2022 Evaluation Campaign

    Unknown

  • Training Neural Machine Translation to Apply Terminology Constraints

    Georgiana Dinu;Prashant Mathur;Marcello Federico;Yaser Al-Onaizan

  • Overview of the IWSLT 2011 evaluation campaign.

    Marcello Federico;Luisa Bentivogli;Michael Paul;Sebastian Stüker

  • Modelling Pronominal Anaphora in Statistical Machine Translation

    Christian Hardmeier;Marcello Federico

  • Fill-up versus Interpolation Methods for Phrase-based SMT Adaptation

    Arianna Bisazza;Nick Ruiz;Marcello Federico

  • Overview of the IWSLT 2017 Evaluation Campaign

    Mauro Cettolo;Marcello Federico;Luisa Bentivogli;Niehues Jan

  • FINDINGS OF THE IWSLT 2020 EVALUATION CAMPAIGN

    Ebrahim Ansari;Amittai Axelrod;Nguyen Bach;Ondrej Bojar

  • Measuring User Productivity in Machine Translation Enhanced Computer Assisted Translation

    Marcello Federico;Alessandro Cattelan;Marco Trombetti

  • Multi-Domain Neural Machine Translation through Unsupervised Adaptation

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

  • Bayesian estimation methods for n-gram language model adaptation

    M. Federico

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

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

  • Open Source Toolkit for Statistical Machine Translation: Factored Translation Models and Lattice Decoding

    Philipp Koehn;Marcello Federico;Wade Shen;Nicola Bertoldi

Frequent Co-Authors

Mauro Cettolo
Mauro Cettolo Fondazione Bruno Kessler
Luisa Bentivogli
Luisa Bentivogli Fondazione Bruno Kessler
Philipp Koehn
Philipp Koehn Johns Hopkins University
Hermann Ney
Hermann Ney RWTH Aachen University
Jan Niehues
Jan Niehues Karlsruhe Institute of Technology
Giuliano Antoniol
Giuliano Antoniol Polytechnique Montréal
Michael J. Paul
Michael J. Paul University of Colorado Boulder
Ondrej Bojar
Ondrej Bojar Charles University
Holger Schwenk
Holger Schwenk Facebook (United States)
Alex Waibel
Alex Waibel Carnegie Mellon University

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