Ryan Cotterell
Impact in
- Artificial Intelligence top 1%
- Natural Language Processing Techniques
- Topic Modeling
- Speech Recognition and Synthesis
- Speech and dialogue systems
- Text Readability and Simplification
- Language and Linguistics top 5%
Papers in
-
- Natural Language Processing Techniques 83
- Topic Modeling 81
- Speech Recognition and Synthesis 14
- Speech and dialogue systems 13
- Text Readability and Simplification 12
- Algorithms and Data Compression 8
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- Neurobiology of Language and Bilingualism 9
- Co-authors
- Jason Eisner (19 shared papers)Clara Meister (23 shared papers)Tiago Pimentel (25 shared papers)Hinrich Schütze (7 shared papers)Christo Kirov (7 shared papers)Mans Hulden (4 shared papers)Shijie Wu (3 shared papers)John Sylak-Glassman (5 shared papers)
- Journals
- Transactions of the Association for Computational Linguistics (14 papers)Language Resources and Evaluation (1 paper)Journal of Memory and Language (1 paper)PLoS ONE (1 paper)Cognition (1 paper)
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Ryan Cotterell
115 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 77
- Artificial Intelligence 1.4k
- Language and Linguistics 134
- Cultural Studies 89
- Computer Vision and Pattern Recognition 217
- Health Informatics 13
Countries citing papers authored by Ryan Cotterell
This map shows the geographic impact of Ryan Cotterell's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ryan Cotterell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan Cotterell more than expected).
Fields of papers citing papers by Ryan Cotterell
This network shows the impact of papers produced by Ryan Cotterell. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ryan Cotterell. The network helps show where Ryan Cotterell may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan Cotterell, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 131 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 146 | |
| 2 | 2015 | 73 | |
| 3 | 2019 | 67 | |
| 4 | 2014 | 63 | |
| 5 | 2023 | 45 | |
| 6 | 2018 | 43 | |
| 7 | 2019 | 43 | |
| 8 | 2015 | 41 | |
| 9 | 2018 | 40 | |
| 10 | 2018 | 37 | |
| 11 | 2024 | 36 | |
| 12 | 2023 | 34 | |
| 13 | 2023 | 33 | |
| 14 | 2019 | 33 | |
| 15 | 2019 | 32 | |
| 16 | 2021 | 32 | |
| 17 | 2020 | 31 | |
| 18 | 2016 | 31 | |
| 19 | 2016 | 31 | |
| 20 | 2021 | 29 |
About Ryan Cotterell
Ryan Cotterell is a scholar working on Artificial Intelligence, Cognitive Neuroscience, Computer Vision and Pattern Recognition, Cultural Studies and Information Systems, having authored 131 papers that have together received 1.7k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (83 papers), Topic Modeling (81 papers), Speech Recognition and Synthesis (14 papers), Speech and dialogue systems (13 papers), Text Readability and Simplification (12 papers), Language and cultural evolution (10 papers), Neurobiology of Language and Bilingualism (9 papers) and Algorithms and Data Compression (8 papers). The work is most often cited by research in Artificial Intelligence (1.4k citations), Language and Linguistics (134 citations), Cultural Studies (89 citations), Computer Vision and Pattern Recognition (217 citations) and Health Informatics (13 citations). Ryan Cotterell has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Jason Eisner, Clara Meister, Tiago Pimentel, Hinrich Schütze, Christo Kirov, Mans Hulden, Shijie Wu, John Sylak-Glassman, Chris Callison-Burch and David Yarowsky. Their work appears in journals such as Transactions of the Association for Computational Linguistics, Language Resources and Evaluation, Journal of Memory and Language, PLoS ONE and Cognition.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.