2026 Ryan Cotterell: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Rising Stars	45	464	464	6	6	158	5842
Computer Science	46	6955	6753	134	134	157	5980

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

379
Citations
The SIGMORPHON 2016 Shared Task - Morphological Reinflection.

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

282
Citations
Counterfactual Data Augmentation for Mitigating Gender Stereotypes in Languages with Rich Morphology

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

274
Citations
Information-Theoretic Probing for Linguistic Structure

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

215
Citations
Joint Lemmatization and Morphological Tagging with Lemming

Thomas Müller;Ryan Cotterell;Alexander Fraser;Hinrich Schütze

148
Citations
It’s All in the Name: Mitigating Gender Bias with Name-Based Counterfactual Data Substitution

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

143
Citations
Morphological Word-Embeddings

Ryan Cotterell;Hinrich Schütze

125
Citations
The SIGMORPHON 2019 Shared Task: Morphological Analysis in Context and Cross-Lingual Transfer for Inflection

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

115
Citations
Phonotactic Complexity and Its Trade-offs

Tiago Pimentel;Brian Roark;Ryan D. Cotterell

114
Citations
A Multi-Dialect, Multi-Genre Corpus of Informal Written Arabic

Ryan Cotterell;Chris Callison-Burch

109
Citations
UniMorph 2.0: Universal Morphology

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

109
Citations
CoNLL-SIGMORPHON 2017 Shared Task: Universal Morphological Reinflection in 52 Languages

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

100
Citations
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

97
Citations
What Kind of Language Is Hard to Language-Model?

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

95
Citations
UniMorph 4.0: Universal Morphology

Unknown

93
Citations
Examining Gender Bias in Languages with Grammatical Gender

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

90
Citations
Applying the Transformer to Character-level Transduction

Shijie Wu;Ryan Cotterell;Mans Hulden

87
Citations
Are All Languages Equally Hard to Language-Model?

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

87
Citations
Modeling Word Forms Using Latent Underlying Morphs and Phonology

Ryan Cotterell;Nanyun Peng;Jason Eisner

78
Citations
Weighting Finite-State Transductions With Neural Context

Pushpendre Rastogi;Ryan Cotterell;Jason Eisner

74
Citations
If beam search is the answer, what was the question?

Clara Meister;Ryan Cotterell;Tim Vieira

60
Citations
SIGMORPHON 2020 Shared Task 0: Typologically Diverse Morphological Inflection

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

58
Citations

Frequent Co-Authors

Jason Eisner Johns Hopkins University

David Yarowsky Johns Hopkins University

Hinrich Schütze Ludwig-Maximilians-Universität München

Brian Roark Google (United States)

Isabelle Augenstein University of Copenhagen

Hanna Wallach Microsoft (United States)

Simone Teufel University of Cambridge

Sebastian Ruder Google (United States)

Benjamin Van Durme Johns Hopkins University

Naoaki Okazaki Tokyo Institute of Technology

External Links

Personal website of Ryan Cotterell

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