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

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Moses

2007 3.2k citations Chris Dyer et al. profile →
Hierarchical Attention Networks for Document Classification

2016 2.9k citations Zichao Yang, Diyi Yang et al. profile →
Neural Architectures for Named Entity Recognition

2016 2.5k citations Miguel Ballesteros, Kazuya Kawakami et al. profile →
Moses: Open Source Toolkit for Statistical Machine Translation

2007 1.1k citations Chris Dyer et al. profile →
Retrofitting Word Vectors to Semantic Lexicons

2015 426 citations Manaal Faruqui, Jesse Dodge et al. profile →
Transition-Based Dependency Parsing with Stack Long Short-Term Memory

2015 355 citations Chris Dyer, Miguel Ballesteros et al. profile →
Improving Vector Space Word Representations Using Multilingual Correlation

2014 323 citations Manaal Faruqui, Chris Dyer Figshare profile →
A Simple, Fast, and Effective Reparameterization of IBM Model 2

2018 317 citations Chris Dyer, Noah A. Smith et al. profile →
Finding Function in Form: Compositional Character Models for Open Vocabulary Word Representation

2015 299 citations Chris Dyer, Alan W. Black et al. profile →
Data-intensive text processing with MapReduce

2009 280 citations Chris Dyer et al. profile →

Peers

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Herbicide resistance in Alopecurus myosuroides : The value of routine testing of seed samples submitted by farmers since 1985 2023 ·Weed Research ·S. K. Cook, (unknown), S. R. Moss, Richard Hull, David Garthwaite, Chris Dyer	1
2	End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering 2021 ·arXiv (Cornell University) ·(unknown), Siva Reddy, (unknown), Chris Dyer, Dani Yogatama	10
3	Learning Robust and Multilingual Speech Representations 2020 ·Kazuya Kawakami, Luyu Wang, Chris Dyer, Phil Blunsom, Aäron van den Oord	44
4	Development of a structured process for fair allocation of critical care resources in the setting of insufficient capacity: a discussion paper 2020 ·Journal of Medical Ethics ·Tim Cook, (unknown), Chris Dyer, (unknown), Sarah Wexler, (unknown), Ben Colleypriest, Richard Graham, (unknown), (unknown), (unknown), (unknown)	11
5	Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation 2019 ·Po-Sen Huang, Robert Stanforth, Johannes Welbl, Chris Dyer, Dani Yogatama, Sven Gowal, Krishnamurthy Dvijotham, Pushmeet Kohli	64
6	Putting Machine Translation in Context with the Noisy Channel Model 2019 ·arXiv (Cornell University) ·Lei Yu, (unknown), Wojciech Stokowiec, Ling Wang, Lingpeng Kong, Phil Blunsom, Chris Dyer	1
7	End-to-End Neural Segmental Models for Speech Recognition 2017 ·IEEE Journal of Selected Topics in Signal Processing ·Hao Tang, Liang Lu, Lingpeng Kong, Kevin Gimpel, Karen Livescu, Chris Dyer, Noah A. Smith, Steve Renals	14
8	Hierarchical Attention Networks for Document Classification breakdown → 2016 ·Zichao Yang, Diyi Yang, Chris Dyer, Xiaodong He, Alex Smola, Eduard Hovy	2941
9	Practical Neural Networks for NLP: From Theory to Code 2016 ·Empirical Methods in Natural Language Processing ·Chris Dyer, Yoav Goldberg, Graham Neubig	0
10	Segmental Recurrent Neural Networks 2016 ·International Conference on Learning Representations ·Lingpeng Kong, Chris Dyer, Noah A. Smith	41
11	Transition-Based Dependency Parsing with Stack Long Short-Term Memory breakdown → 2015 ·Chris Dyer, Miguel Ballesteros, Ling Wang, Austin Matthews, Noah A. Smith	355
12	Retrofitting Word Vectors to Semantic Lexicons breakdown → 2015 ·Manaal Faruqui, Jesse Dodge, Sunil Kumar Jauhar, Chris Dyer, Eduard Hovy, Noah A. Smith	426
13	Gaussian LDA for Topic Models with Word Embeddings 2015 ·Rajarshi Das, Manzil Zaheer, Chris Dyer	197
14	Document Context Language Models 2015 ·arXiv (Cornell University) ·Yangfeng Ji, Trevor Cohn, Lingpeng Kong, Chris Dyer, Jacob Eisenstein	11
15	Automatic Keyword Extraction on Twitter 2015 ·Luís Marujo, Ling Wang, Isabel Trancoso, Chris Dyer, Alan W. Black, Anatole Gershman, David Martins de Matos, João P. Neto, Jaime Carbonell	38
16	Improving Vector Space Word Representations Using Multilingual Correlation breakdown → 2014 ·Figshare ·Manaal Faruqui, Chris Dyer	323
17	Paraphrasing 4 Microblog Normalization 2013 ·Ling Wang, Chris Dyer, Alan W. Black, Isabel Trancoso	35
18	Distributions on Minimalist Grammar Derivations 2013 ·Tim B. Hunter, Chris Dyer	7
19	Generating English Determiners in Phrase-Based Translation with Synthetic Translation Options 2013 ·Workshop on Statistical Machine Translation ·Yulia Tsvetkov, Chris Dyer, Lori Levin, Archna Bhatia	13
20	Court confirms right to palliative treatment for mental distress 1997 ·BMJ ·Chris Dyer	1

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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