World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
79
Citations
51902
World Ranking
1112
National Ranking
594

Philipp Koehn 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 Philipp Koehn 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: 346 publications — 81st percentile

81% of scientists in this discipline score the same or lower.

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

Philipp Koehn 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 Philipp Koehn 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: 79 D-Index — 92nd percentile

92% of scientists in this discipline score the same or lower.

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

Overview

Philipp Koehn is affiliated with Johns Hopkins University in the United States and has contributed extensively to the field of computer science, particularly in artificial intelligence and natural language processing. Their research spans over 174 publications, with a primary focus on natural language processing techniques and topic modeling.

The scientist's work includes a variety of topics such as:

  • Natural Language Processing Techniques
  • Topic Modeling
  • Multimodal Machine Learning Applications
  • Text Readability and Simplification
  • Speech Recognition and Synthesis
  • Authorship Attribution and Profiling
  • Speech and Dialogue Systems

Philipp Koehn has written significant papers, notable among them are:

  • No Language Left Behind: Scaling Human-Centered Machine Translation, 2022, arXiv (Cornell University)
  • Scaling neural machine translation to 200 languages, 2024, Nature
  • When Does Unsupervised Machine Translation Work?, 2020, arXiv (Cornell University)
  • SimulMT to SimulST: Adapting Simultaneous Text Translation to End-to-End Simultaneous Speech Translation, 2020, arXiv (Cornell University)
  • Consistent Human Evaluation of Machine Translation across Language Pairs, 2022, arXiv (Cornell University)

The scientist has frequently coauthored research with several colleagues, including Weiting Tan, James H. Cross, Kelly Marchisio, Kenton Murray, and Francisco Guzmán. These collaborations have contributed to a cohesive body of work within their field.

Philipp Koehn's publications have appeared in a variety of respected venues. These include:

  • arXiv (Cornell University)
  • Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  • Cambridge University Press eBooks
  • Nature
  • Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

In addition to articles, they have contributed to book publications, including a title published by Cambridge University Press:

  • Neural Machine Translation, 2020

Their main fields of study revolve around computer science with a specialized emphasis on artificial intelligence. Subfields covered in their research include artificial intelligence, computer vision and pattern recognition, molecular biology, language and linguistics, and information systems.

Best Publications

  • Moses: Open Source Toolkit for Statistical Machine Translation

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

  • Europarl: A Parallel Corpus for Statistical Machine Translation

    Philipp Koehn

  • Statistical phrase-based translation

    Philipp Koehn;Franz Josef Och;Daniel Marcu

  • Statistical Machine Translation

    Philipp Koehn

  • Statistical Significance Tests for Machine Translation Evaluation.

    Philipp Koehn

  • Six Challenges for Neural Machine Translation.

    Philipp Koehn;Rebecca Knowles

  • Abstract Meaning Representation for Sembanking

    Laura Banarescu;Claire Bonial;Shu Cai;Madalina Georgescu

  • Findings of the 2014 Workshop on Statistical Machine Translation

    Ondrej Bojar;Christian Buck;Christian Federmann;Barry Haddow

  • Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

    Adithya Renduchintala;Rebecca Knowles;Philipp Koehn;Jason Eisner

  • Findings of the 2015 Workshop on Statistical Machine Translation

    Ondřej Bojar;Rajen Chatterjee;Christian Federmann;Barry Haddow

  • Pharaoh: A Beam Search Decoder for Phrase-Based Statistical Machine Translation Models

    Philipp Koehn

  • Re-evaluating the Role of Bleu in Machine Translation Research

    Chris Callison-Burch;Miles Osborne;Philipp Koehn

  • Findings of the 2012 Workshop on Statistical Machine Translation

    Chris Callison-Burch;Philipp Koehn;Christof Monz;Matt Post

  • Findings of the 2009 Workshop on Statistical Machine Translation

    Chris Callison-Burch;Philipp Koehn;Christof Monz;Josh Schroeder

  • Findings of the 2018 Conference on Machine Translation (WMT18)

    Ondřej Bojar;Christian Federmann;Mark Fishel;Yvette Graham

  • No Language Left Behind: Scaling Human-Centered Machine Translation

    Unknown

  • Factored Translation Models

    Philipp Koehn;Hieu Hoang

  • Clause Restructuring for Statistical Machine Translation

    Michael Collins;Philipp Koehn;Ivona Kucerova

  • 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

  • Statistical machine translation

    Kevin Knight;Philipp Koehn

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

    Philipp Koehn;Marcello Federico;Wade Shen;Nicola Bertoldi

  • Synthesis Lectures on Human Language Technologies

    Philip Williams;Rico Sennrich;Matt Post;Philipp Koehn

  • Statistical Machine Translation: Phrase-Based Models

    Philipp Koehn

Frequent Co-Authors

Barry Haddow
Barry Haddow University of Edinburgh
Chris Callison-Burch
Chris Callison-Burch University of Pennsylvania
Christof Monz
Christof Monz University of Amsterdam
Alexandra Birch
Alexandra Birch University of Edinburgh
Kevin Knight
Kevin Knight University of Southern California
Lucia Specia
Lucia Specia Imperial College London
Miles Osborne
Miles Osborne Bloomberg LP
Kevin Duh
Kevin Duh Johns Hopkins University
Rico Sennrich
Rico Sennrich University of Zurich
Daniel Marcu
Daniel Marcu University of Southern California

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