Chris Dyer

34.2k total citations · 10 hit papers
187 papers, 17.0k citations indexed

About

Chris Dyer is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Plant Science. According to data from OpenAlex, Chris Dyer has authored 187 papers receiving a total of 17.0k indexed citations (citations by other indexed papers that have themselves been cited), including 140 papers in Artificial Intelligence, 25 papers in Computer Vision and Pattern Recognition and 11 papers in Plant Science. Recurrent topics in Chris Dyer's work include Natural Language Processing Techniques (127 papers), Topic Modeling (122 papers) and Speech Recognition and Synthesis (19 papers). Chris Dyer is often cited by papers focused on Natural Language Processing Techniques (127 papers), Topic Modeling (122 papers) and Speech Recognition and Synthesis (19 papers). Chris Dyer collaborates with scholars based in United States, United Kingdom and Portugal. Chris Dyer's co-authors include Miguel Ballesteros, Eduard Hovy, Noah A. Smith, Diyi Yang, Kazuya Kawakami, Guillaume Lample, Sandeep Subramanian, Alex Smola, Zichao Yang and Xiaodong He and has published in prestigious journals such as BMJ, Neuropsychologia and Environmental Research Letters.

In The Last Decade

Chris Dyer

173 papers receiving 15.4k citations

Hit Papers

Moses 2007 2026 2013 2019 2007 2016 2016 2007 2015 1000 2.0k 3.0k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Chris Dyer 14.7k 2.5k 1.8k 1.2k 598 187 17.0k
Kristina Toutanova 19.1k 1.3× 4.2k 1.7× 2.7k 1.5× 1.4k 1.1× 735 1.2× 78 21.7k
Dan Roth 13.3k 0.9× 2.5k 1.0× 2.0k 1.2× 836 0.7× 630 1.1× 463 15.8k
Kenton Lee 14.6k 1.0× 3.7k 1.5× 1.9k 1.1× 969 0.8× 630 1.1× 47 17.4k
Mirella Lapata 12.3k 0.8× 2.1k 0.8× 1.5k 0.8× 742 0.6× 409 0.7× 237 14.0k
Jacob Devlin 14.2k 1.0× 3.8k 1.5× 1.9k 1.1× 915 0.7× 630 1.1× 20 16.4k
Eduard Hovy 19.0k 1.3× 2.6k 1.0× 3.6k 2.0× 1.3k 1.0× 817 1.4× 411 22.4k
Iryna Gurevych 10.0k 0.7× 1.6k 0.6× 2.5k 1.4× 582 0.5× 349 0.6× 393 12.4k
Jianfeng Gao 11.0k 0.8× 2.4k 0.9× 2.1k 1.2× 821 0.7× 452 0.8× 227 13.0k
Armand Joulin 6.9k 0.5× 3.9k 1.5× 1.0k 0.6× 517 0.4× 592 1.0× 39 10.8k
Piotr Bojanowski 6.1k 0.4× 2.6k 1.0× 1.0k 0.6× 493 0.4× 471 0.8× 20 9.1k

Countries citing papers authored by Chris Dyer

Since Specialization
Citations

This map shows the geographic impact of Chris Dyer'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 Chris Dyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Dyer more than expected).

Fields of papers citing papers by Chris Dyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chris Dyer. 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 Chris Dyer. The network helps show where Chris Dyer may publish in the future.

Co-authorship network of co-authors of Chris Dyer

This figure shows the co-authorship network connecting the top 25 collaborators of Chris Dyer. A scholar is included among the top collaborators of Chris Dyer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chris Dyer. Chris Dyer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Cook, S. K., et al.. (2023). Herbicide resistance in Alopecurus myosuroides : The value of routine testing of seed samples submitted by farmers since 1985. Weed Research. 63(6). 339–347. 1 indexed citations
2.
Kawakami, Kazuya, Luyu Wang, Chris Dyer, Phil Blunsom, & Aäron van den Oord. (2020). Learning Robust and Multilingual Speech Representations. 1182–1192. 44 indexed citations
3.
Cook, Tim, et al.. (2020). Development of a structured process for fair allocation of critical care resources in the setting of insufficient capacity: a discussion paper. Journal of Medical Ethics. 47(7). 456–463. 11 indexed citations
4.
Huang, Po-Sen, Robert Stanforth, Johannes Welbl, et al.. (2019). Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation. 4081–4091. 64 indexed citations
5.
Yu, Lei, Wojciech Stokowiec, Ling Wang, et al.. (2019). Putting Machine Translation in Context with the Noisy Channel Model. arXiv (Cornell University). 1 indexed citations
6.
Tang, Hao, Liang Lu, Lingpeng Kong, et al.. (2017). End-to-End Neural Segmental Models for Speech Recognition. IEEE Journal of Selected Topics in Signal Processing. 11(8). 1254–1264. 14 indexed citations
7.
Yang, Zichao, Diyi Yang, Chris Dyer, et al.. (2016). Hierarchical Attention Networks for Document Classification. 1480–1489. 2941 indexed citations breakdown →
8.
Ammar, Waleed, et al.. (2016). One Parser, Many Languages.. arXiv (Cornell University). 7 indexed citations
9.
Dyer, Chris, Miguel Ballesteros, Ling Wang, Austin Matthews, & Noah A. Smith. (2015). Transition-Based Dependency Parsing with Stack Long Short-Term Memory. 334–343. 355 indexed citations breakdown →
10.
Faruqui, Manaal, Jesse Dodge, Sunil Kumar Jauhar, et al.. (2015). Retrofitting Word Vectors to Semantic Lexicons. 1606–1615. 426 indexed citations breakdown →
11.
Das, Rajarshi, Manzil Zaheer, & Chris Dyer. (2015). Gaussian LDA for Topic Models with Word Embeddings. 795–804. 197 indexed citations
12.
Marujo, Luís, Ling Wang, Isabel Trancoso, et al.. (2015). Automatic Keyword Extraction on Twitter. 637–643. 38 indexed citations
13.
Ji, Yangfeng, Trevor Cohn, Lingpeng Kong, Chris Dyer, & Jacob Eisenstein. (2015). Document Context Language Models. arXiv (Cornell University). 11 indexed citations
14.
Faruqui, Manaal & Chris Dyer. (2014). Improving Vector Space Word Representations Using Multilingual Correlation. Figshare. 462–471. 323 indexed citations breakdown →
15.
Wang, Ling, Chris Dyer, Alan W. Black, & Isabel Trancoso. (2013). Paraphrasing 4 Microblog Normalization. 73–84. 35 indexed citations
16.
Chahuneau, Victor, Eva Schlinger, Noah A. Smith, & Chris Dyer. (2013). Translating into Morphologically Rich Languages with Synthetic Phrases. Figshare. 1677–1687. 41 indexed citations
17.
Hunter, Tim B. & Chris Dyer. (2013). Distributions on Minimalist Grammar Derivations. 1–11. 7 indexed citations
18.
Tsvetkov, Yulia, Chris Dyer, Lori Levin, & Archna Bhatia. (2013). Generating English Determiners in Phrase-Based Translation with Synthetic Translation Options. Workshop on Statistical Machine Translation. 271–280. 13 indexed citations
19.
Dyer, Chris. (1997). Court confirms right to palliative treatment for mental distress. BMJ. 315(7117). 1177.3–1180. 1 indexed citations
20.
Withers, P. J. A. & Chris Dyer. (1990). The effect of applied nitrogen on the acceptability of spring barley for malting.. Aspects of applied biology. 329–337. 5 indexed citations

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.

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