Nicholas Andrews

493 total citations
21 papers, 235 citations indexed

About

Nicholas Andrews is a scholar working on Artificial Intelligence, Molecular Biology and Signal Processing. According to data from OpenAlex, Nicholas Andrews has authored 21 papers receiving a total of 235 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 3 papers in Molecular Biology and 2 papers in Signal Processing. Recurrent topics in Nicholas Andrews's work include Natural Language Processing Techniques (14 papers), Topic Modeling (12 papers) and Authorship Attribution and Profiling (5 papers). Nicholas Andrews is often cited by papers focused on Natural Language Processing Techniques (14 papers), Topic Modeling (12 papers) and Authorship Attribution and Profiling (5 papers). Nicholas Andrews collaborates with scholars based in United States, United Kingdom and Canada. Nicholas Andrews's co-authors include Edward A. Fox, Mark Dredze, Jason Eisner, Zach Wood-Doughty, Rebecca Marvin, Jay DeYoung, Matthew R. Gormley, Christopher D. Manning, Benjamin Van Durme and Spence Green and has published in prestigious journals such as Transactions of the Association for Computational Linguistics, The Irish Journal of Psychology and Biochimica et Biophysica Acta.

In The Last Decade

Nicholas Andrews

17 papers receiving 201 citations

Peers

Nicholas Andrews
Kapil Thadani United States
Juan Cigarrán Spain
Joanna Biega Germany
Adam Winkel United States
Mianwei Zhou United States
David I. Inouye United States
Atulya Velivelli United States
Luchen Tan Canada
Matthias Broecheler United States
Samuel Mensah Canada
Kapil Thadani United States
Nicholas Andrews
Citations per year, relative to Nicholas Andrews Nicholas Andrews (= 1×) peers Kapil Thadani

Countries citing papers authored by Nicholas Andrews

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas Andrews

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicholas Andrews

This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas Andrews. A scholar is included among the top collaborators of Nicholas Andrews 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 Nicholas Andrews. Nicholas Andrews 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.
Wiesner, Matthew, et al.. (2025). The Impact of Automatic Speech Transcription on Speaker Attribution. Transactions of the Association for Computational Linguistics. 13. 1578–1596.
2.
3.
Andrews, Nicholas, et al.. (2024). Can Authorship Attribution Models Distinguish Speakers in Speech Transcripts?. Transactions of the Association for Computational Linguistics. 12. 875–891. 1 indexed citations
4.
Duh, Kevin, et al.. (2024). HLTCOE JHU Submission to the Voice Privacy Challenge 2024. 61–66. 2 indexed citations
5.
Garcia, Leibny Paola, et al.. (2024). Privacy Versus Emotion Preservation Trade-Offs in Emotion-Preserving Speaker Anonymization. 409–414. 2 indexed citations
6.
Wang, Andrew, et al.. (2023). Can Authorship Representation Learning Capture Stylistic Features?. Transactions of the Association for Computational Linguistics. 11. 1416–1431. 3 indexed citations
7.
Andrews, Nicholas, et al.. (2021). Learning Universal Authorship Representations. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 913–919. 14 indexed citations
8.
Andrews, Nicholas, et al.. (2019). Learning Invariant Representations of Social Media Users. 1684–1695. 10 indexed citations
9.
Wood-Doughty, Zach, Nicholas Andrews, Rebecca Marvin, & Mark Dredze. (2018). Predicting Twitter User Demographics from Names Alone. 105–111. 28 indexed citations
10.
Wood-Doughty, Zach, Nicholas Andrews, & Mark Dredze. (2018). Convolutions Are All You Need (For Classifying Character Sequences). 208–213. 6 indexed citations
11.
Andrews, Nicholas, Mark Dredze, Benjamin Van Durme, & Jason Eisner. (2017). Bayesian Modeling of Lexical Resources for Low-Resource Settings. 1029–1039. 2 indexed citations
12.
Dredze, Mark, Nicholas Andrews, & Jay DeYoung. (2016). Twitter at the Grammys: A Social Media Corpus for Entity Linking and Disambiguation. 20–25. 6 indexed citations
13.
Peng, Nanyun, Francis Ferraro, Mo Yu, et al.. (2015). A Concrete Chinese NLP Pipeline. 86–90. 3 indexed citations
14.
Andrews, Nicholas, Jason Eisner, & Mark Dredze. (2014). Robust Entity Clustering via Phylogenetic Inference. 775–785. 11 indexed citations
15.
Wolfe, Travis, Benjamin Van Durme, Mark Dredze, et al.. (2013). PARMA: A Predicate Argument Aligner. Meeting of the Association for Computational Linguistics. 63–68. 9 indexed citations
16.
Andrews, Nicholas, Jason Eisner, & Mark Dredze. (2012). Name Phylogeny: A Generative Model of String Variation. 344–355. 13 indexed citations
17.
Green, Spence, Nicholas Andrews, Matthew R. Gormley, Mark Dredze, & Christopher D. Manning. (2012). Entity Clustering Across Languages. 60–69. 12 indexed citations
18.
Andrews, Nicholas & Edward A. Fox. (2007). Clustering for Data Reduction: A Divide and Conquer Approach. Biochimica et Biophysica Acta. 1830(6). 3616–24. 7 indexed citations
19.
Andrews, Nicholas & Edward A. Fox. (2007). Recent Developments in Document Clustering. 104 indexed citations
20.
Andrews, Nicholas, et al.. (1993). Parallel natural language parsing using multiple broadcasting. The Irish Journal of Psychology. 14(3). 503–504. 1 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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