Arya D. McCarthy

860 total citations
24 papers, 221 citations indexed

About

Arya D. McCarthy is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Political Science and International Relations. According to data from OpenAlex, Arya D. McCarthy has authored 24 papers receiving a total of 221 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Political Science and International Relations. Recurrent topics in Arya D. McCarthy's work include Natural Language Processing Techniques (18 papers), Topic Modeling (17 papers) and Speech and dialogue systems (4 papers). Arya D. McCarthy is often cited by papers focused on Natural Language Processing Techniques (18 papers), Topic Modeling (17 papers) and Speech and dialogue systems (4 papers). Arya D. McCarthy collaborates with scholars based in United States, Australia and Switzerland. Arya D. McCarthy's co-authors include David Yarowsky, Ryan Cotterell, Kyle Gorman, Garrett Nicolai, Ekaterina Vylomova, Aaron Mueller, Miikka Silfverberg, Shijie Wu, Daniel You and Katharina Kann and has published in prestigious journals such as Language Resources and Evaluation, Repository for Publications and Research Data (ETH Zurich) and arXiv (Cornell University).

In The Last Decade

Arya D. McCarthy

19 papers receiving 200 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Arya D. McCarthy United States 10 204 36 24 18 11 24 221
Aurélie Herbelot Italy 9 204 1.0× 36 1.0× 19 0.8× 26 1.4× 14 1.3× 35 238
John Sylak-Glassman United States 8 252 1.2× 32 0.9× 19 0.8× 17 0.9× 15 1.4× 10 267
Christo Kirov United States 10 323 1.6× 44 1.2× 30 1.3× 35 1.9× 33 3.0× 20 368
Garrett Nicolai Canada 9 238 1.2× 46 1.3× 26 1.1× 7 0.4× 4 0.4× 33 245
Tanja Samardżić Switzerland 12 345 1.7× 16 0.4× 71 3.0× 37 2.1× 12 1.1× 45 398
Joakim Nivre United States 3 426 2.1× 32 0.9× 23 1.0× 13 0.7× 8 0.7× 4 450
Aaron Mueller United States 8 130 0.6× 30 0.8× 17 0.7× 7 0.4× 9 0.8× 16 150
Yves Scherrer Switzerland 14 538 2.6× 42 1.2× 85 3.5× 10 0.6× 18 1.6× 65 583
Tafseer Ahmed Germany 8 95 0.5× 17 0.5× 37 1.5× 12 0.7× 12 1.1× 16 121
Michele Bevilacqua Italy 8 301 1.5× 54 1.5× 12 0.5× 6 0.3× 8 0.7× 12 314

Countries citing papers authored by Arya D. McCarthy

Since Specialization
Citations

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

Fields of papers citing papers by Arya D. McCarthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arya D. McCarthy. 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 Arya D. McCarthy. The network helps show where Arya D. McCarthy may publish in the future.

Co-authorship network of co-authors of Arya D. McCarthy

This figure shows the co-authorship network connecting the top 25 collaborators of Arya D. McCarthy. A scholar is included among the top collaborators of Arya D. McCarthy 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 Arya D. McCarthy. Arya D. McCarthy 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.
Zheng, Lucia, Arya D. McCarthy, Christopher Hahn, et al.. (2025). LawInstruct: A Resource for Studying Language Model Adaptation to the Legal Domain. 127–152.
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McCarthy, Arya D., et al.. (2023). A Free Press, If You Can Keep It.
5.
McCarthy, Arya D., et al.. (2021). A Mixed-Methods Analysis of Western and Hong Kong–based Reporting on the 2019–2020 Protests. 178–188. 2 indexed citations
6.
McCarthy, Arya D., et al.. (2021). Characterizing News Portrayal of Civil Unrest in Hong Kong, 1998–2020. 43–52. 2 indexed citations
7.
Miller, Sean, et al.. (2020). Massively Multilingual Pronunciation Modeling with WikiPron. Language Resources and Evaluation. 4223–4228. 14 indexed citations
8.
Mueller, Aaron, et al.. (2020). An Analysis of Massively Multilingual Neural Machine Translation for Low-Resource Languages.. Language Resources and Evaluation. 3710–3718. 11 indexed citations
9.
McCarthy, Arya D., Aaron Mueller, Oliver Adams, et al.. (2020). The Johns Hopkins University Bible Corpus: 1600+ Tongues for Typological Exploration. Language Resources and Evaluation. 2884–2892. 30 indexed citations
10.
Nicolai, Garrett, et al.. (2020). Fine-grained Morphosyntactic Analysis and Generation Tools for More Than One Thousand Languages.. Language Resources and Evaluation. 3963–3972. 7 indexed citations
11.
Cai, Liwei, et al.. (2020). Unsupervised Morphological Paradigm Completion. 6696–6707. 9 indexed citations
12.
McCarthy, Arya D., et al.. (2020). Addressing Posterior Collapse with Mutual Information for Improved Variational Neural Machine Translation. 8512–8525. 12 indexed citations
13.
Gorman, Kyle, et al.. (2020). The SIGMORPHON 2020 Shared Task on Multilingual Grapheme-to-Phoneme Conversion. 40–50. 30 indexed citations
14.
Jacobs, Cassandra L. & Arya D. McCarthy. (2020). The human unlikeness of neural language models in next-word prediction. 115–115. 3 indexed citations
15.
McCarthy, Arya D., Adina Williams, Shijia Liu, David Yarowsky, & Ryan Cotterell. (2020). Measuring the Similarity of Grammatical Gender Systems by Comparing Partitions. Repository for Publications and Research Data (ETH Zurich). 5664–5675. 2 indexed citations
16.
McCarthy, Arya D., et al.. (2020). Neural Transduction for Multilingual Lexical Translation. 4373–4384. 2 indexed citations
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Pimentel, Tiago, Arya D. McCarthy, Damián E. Blasí, Brian Roark, & Ryan Cotterell. (2019). Meaning to Form: Measuring Systematicity as Information. 1751–1764. 13 indexed citations
19.
Kirov, Christo, Ryan Cotterell, John Sylak-Glassman, et al.. (2018). UniMorph 2.0: Universal Morphology. arXiv (Cornell University). 7 indexed citations
20.
Cotterell, Ryan, Christo Kirov, John Sylak-Glassman, et al.. (2018). The. 1–27. 41 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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