World's Best Scientists 2026 revealed!
Ryan Cotterell

Ryan Cotterell

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Rising Stars
2025

D-Index & Metrics

Rising Stars

D-Index
45
Citations
5842
World Ranking
464
National Ranking
6

Computer Science

D-Index
46
Citations
5980
World Ranking
6956
National Ranking
134

Ryan Cotterell 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 Ryan Cotterell 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: 157 publications — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Ryan Cotterell 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 Ryan Cotterell 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: 46 D-Index — 53rd percentile

53% 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

  • 2025 - Research.com Rising Stars Award

Overview

Ryan Cotterell is affiliated with ETH Zurich in Switzerland. Their research focuses primarily within the field of Computer Science, with significant contributions in several subfields including Artificial Intelligence, Cognitive Neuroscience, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, and Cultural Studies.

Their main topics of work span a range of areas related to language and computation, notably:

  • Natural Language Processing Techniques
  • Topic Modeling
  • Text Readability and Simplification
  • Machine Learning and Algorithms
  • Neurobiology of Language and Bilingualism
  • Speech and dialogue systems
  • Language and cultural evolution

Ryan Cotterell has published extensively in various venues. The most frequent publication venues include:

  • arXiv (Cornell University)
  • Repository for Publications and Research Data (ETH Zurich)
  • Transactions of the Association for Computational Linguistics
  • Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  • Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Some of the recent papers featuring Ryan Cotterell's contributions are:

  • "Low-Resource Named Entity Recognition with Cross-Lingual, Character-Level Neural Conditional Random Fields," 2024, arXiv (Cornell University)
  • "Large-scale evidence for logarithmic effects of word predictability on reading time," 2024, Proceedings of the National Academy of Sciences
  • "Locally Typical Sampling," 2023, Transactions of the Association for Computational Linguistics
  • "Phonotactic Complexity and Its Trade-offs," 2020, Repository for Publications and Research Data (ETH Zurich)
  • "UniMorph 3.0: Universal Morphology," 2020, Minerva Access (University of Melbourne)

The scientist has collaborated frequently with several peers in the field, including:

  • Tiago Pimentel
  • Clara Meister
  • Tim Vieira
  • Mrinmaya Sachan
  • Anej Svete

Best Publications

  • Gender Bias in Contextualized Word Embeddings

    Jieyu Zhao;Tianlu Wang;Mark Yatskar;Ryan Cotterell

  • The SIGMORPHON 2016 Shared Task - Morphological Reinflection.

    Ryan Cotterell;Christo Kirov;John Sylak-Glassman;David Yarowsky

  • Counterfactual Data Augmentation for Mitigating Gender Stereotypes in Languages with Rich Morphology

    Ran Zmigrod;Sabrina J. Mielke;Hanna M. Wallach;Ryan Cotterell

  • Information-Theoretic Probing for Linguistic Structure

    Tiago Pimentel;Josef Valvoda;Rowan Hall Maudslay;Ran Zmigrod

  • Joint Lemmatization and Morphological Tagging with Lemming

    Thomas Müller;Ryan Cotterell;Alexander Fraser;Hinrich Schütze

  • It’s All in the Name: Mitigating Gender Bias with Name-Based Counterfactual Data Substitution

    Rowan Hall Maudslay;Hila Gonen;Ryan Cotterell;Simone Teufel

  • Morphological Word-Embeddings

    Ryan Cotterell;Hinrich Schütze

  • The SIGMORPHON 2019 Shared Task: Morphological Analysis in Context and Cross-Lingual Transfer for Inflection

    Arya D. McCarthy;Ekaterina Vylomova;Shijie Wu;Chaitanya Malaviya

  • Phonotactic Complexity and Its Trade-offs

    Tiago Pimentel;Brian Roark;Ryan D. Cotterell

  • A Multi-Dialect, Multi-Genre Corpus of Informal Written Arabic

    Ryan Cotterell;Chris Callison-Burch

  • UniMorph 2.0: Universal Morphology

    Christo Kirov;Ryan Cotterell;John Sylak-Glassman;Géraldine Walther

  • CoNLL-SIGMORPHON 2017 Shared Task: Universal Morphological Reinflection in 52 Languages

    Ryan Cotterell;Christo Kirov;John Sylak-Glassman;Géraldine Walther

  • Multimodal Pretraining Unmasked: A Meta-Analysis and a Unified Framework of Vision-and-Language BERTs

    Emanuele Bugliarello;Ryan Cotterell;Ryan Cotterell;Naoaki Okazaki;Desmond Elliott

  • What Kind of Language Is Hard to Language-Model?

    Sebastian J. Mielke;Ryan Cotterell;Kyle Gorman;Brian Roark

  • UniMorph 4.0: Universal Morphology

    Unknown

  • Examining Gender Bias in Languages with Grammatical Gender

    Pei Zhou;Weijia Shi;Jieyu Zhao;Kuan-Hao Huang

  • Applying the Transformer to Character-level Transduction

    Shijie Wu;Ryan Cotterell;Mans Hulden

  • Are All Languages Equally Hard to Language-Model?

    Ryan Cotterell;Sebastian J. Mielke;Jason Eisner;Brian Roark

  • Modeling Word Forms Using Latent Underlying Morphs and Phonology

    Ryan Cotterell;Nanyun Peng;Jason Eisner

  • Weighting Finite-State Transductions With Neural Context

    Pushpendre Rastogi;Ryan Cotterell;Jason Eisner

  • If beam search is the answer, what was the question?

    Clara Meister;Ryan Cotterell;Tim Vieira

  • SIGMORPHON 2020 Shared Task 0: Typologically Diverse Morphological Inflection

    Ekaterina Vylomova;Jennifer C. White;Elizabeth Salesky;Sabrina J. Mielke

Frequent Co-Authors

Jason Eisner
Jason Eisner Johns Hopkins University
David Yarowsky
David Yarowsky Johns Hopkins University
Hinrich Schütze
Hinrich Schütze Ludwig-Maximilians-Universität München
Brian Roark
Brian Roark Google (United States)
Isabelle Augenstein
Isabelle Augenstein University of Copenhagen
Hanna Wallach
Hanna Wallach Microsoft (United States)
Simone Teufel
Simone Teufel University of Cambridge
Sebastian Ruder
Sebastian Ruder Google (United States)
Benjamin Van Durme
Benjamin Van Durme Johns Hopkins University
Naoaki Okazaki
Naoaki Okazaki Tokyo Institute of Technology

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