Noah A. Smith

30.9k total citations · 10 hit papers
264 papers, 12.9k citations indexed

About

Noah A. Smith is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Noah A. Smith has authored 264 papers receiving a total of 12.9k indexed citations (citations by other indexed papers that have themselves been cited), including 227 papers in Artificial Intelligence, 38 papers in Computer Vision and Pattern Recognition and 14 papers in Molecular Biology. Recurrent topics in Noah A. Smith's work include Topic Modeling (189 papers), Natural Language Processing Techniques (183 papers) and Multimodal Machine Learning Applications (30 papers). Noah A. Smith is often cited by papers focused on Topic Modeling (189 papers), Natural Language Processing Techniques (183 papers) and Multimodal Machine Learning Applications (30 papers). Noah A. Smith collaborates with scholars based in United States, Portugal and United Kingdom. Noah A. Smith's co-authors include Chris Dyer, Bryan Routledge, Brendan O’Connor, Ramnath Balasubramanyan, Dipanjan Das, Michael Heilman, Jesse Dodge, Roy Schwartz, Nathan Schneider and Jason Eisner and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Noah A. Smith

252 papers receiving 11.9k citations

Hit Papers

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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.

From Tweets to Polls: Linking Text Sentiment to Public Opinion Time Series

2010 1.2k citations Bryan Routledge, Noah A. Smith et al. profile →
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics

2011 743 citations Kevin Gimpel, Noah A. Smith et al. profile →
Green AI

2020 604 citations Roy Schwartz, Jesse Dodge et al. profile →
Retrofitting Word Vectors to Semantic Lexicons

2015 426 citations Manaal Faruqui, Jesse Dodge et al. profile →
The Risk of Racial Bias in Hate Speech Detection

2019 417 citations Maarten Sap, Dallas Card et al. profile →
Knowledge Enhanced Contextual Word Representations

2019 359 citations Roy Schwartz, Noah A. Smith et al. profile →
Transition-Based Dependency Parsing with Stack Long Short-Term Memory

2015 355 citations Chris Dyer, Miguel Ballesteros et al. profile →
A Simple, Fast, and Effective Reparameterization of IBM Model 2

2018 317 citations Chris Dyer, Victor Chahuneau et al. profile →
Self-Instruct: Aligning Language Models with Self-Generated Instructions

2023 269 citations Alisa Liu, Noah A. Smith et al. profile →
Measuring and Narrowing the Compositionality Gap in Language Models

2023 113 citations Ofir Press, Sewon Min et al. profile →

Author Peers

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

Author						Papers	Cites
Noah A. Smith	10.4k	1.7k	1.4k	980	595	264	12.9k
Dan Jurafsky	9.9k 0.9×	1.2k 0.7×	1.4k 1.0×	1.2k 1.3×	735 1.2×	203	13.5k
Iryna Gurevych	10.0k 1.0×	1.6k 0.9×	2.5k 1.8×	897 0.9×	582 1.0×	393	12.4k
Rada Mihalcea	13.0k 1.2×	1.3k 0.8×	2.8k 2.0×	865 0.9×	686 1.2×	327	15.5k
Claire Cardie	10.4k 1.0×	1.4k 0.8×	2.5k 1.8×	950 1.0×	453 0.8×	176	12.4k
Dragomir Radev	8.5k 0.8×	650 0.4×	2.1k 1.5×	783 0.8×	1.2k 2.0×	222	10.5k
Mark Steyvers	6.3k 0.6×	862 0.5×	1.9k 1.4×	877 0.9×	597 1.0×	138	12.6k
Christopher Potts	8.3k 0.8×	1.4k 0.8×	957 0.7×	604 0.6×	225 0.4×	116	10.6k
Jeffrey Pennington	16.0k 1.5×	3.8k 2.3×	3.1k 2.2×	1.2k 1.2×	1.1k 1.8×	33	20.0k
Fabrizio Sebastiani	9.4k 0.9×	1.0k 0.6×	3.9k 2.8×	741 0.8×	473 0.8×	148	11.4k

Countries citing papers authored by Noah A. Smith

Since Specialization

Citations

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

Fields of papers citing papers by Noah A. Smith

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Noah A. Smith. 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 Noah A. Smith. The network helps show where Noah A. Smith may publish in the future.

Co-authorship network of co-authors of Noah A. Smith

This figure shows the co-authorship network connecting the top 25 collaborators of Noah A. Smith. A scholar is included among the top collaborators of Noah A. Smith 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 Noah A. Smith. Noah A. Smith 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

Merrill, William, Noah A. Smith, & Yanai Elazar. (2024). Evaluating n-Gram Novelty of Language Models Using Rusty-DAWG. 14459–14473. 1 indexed citations

Wang, Yizhong, et al.. (2024). Set the Clock: Temporal Alignment of Pretrained Language Models. 15015–15040. 3 indexed citations

Press, Ofir, et al.. (2023). Measuring and Narrowing the Compositionality Gap in Language Models. 5687–5711. 113 indexed citations breakdown →

Liu, Alisa, Zhaofeng Wu, Julian Michael, et al.. (2023). We’re Afraid Language Models Aren’t Modeling Ambiguity. 790–807. 18 indexed citations

Wang, Wenya, Vivek Srikumar, Hannaneh Hajishirzi, & Noah A. Smith. (2023). Elaboration-Generating Commonsense Question Answering at Scale. 1619–1635. 2 indexed citations

Xu, Yang, Robert Wang, Noah A. Smith, et al.. (2023). TEQUILA-seq: a versatile and low-cost method for targeted long-read RNA sequencing. Nature Communications. 14(1). 4760–4760. 15 indexed citations

Khashabi, Daniel, et al.. (2022). Time Waits for No One! Analysis and Challenges of Temporal Misalignment. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 5944–5958. 21 indexed citations

Gururangan, Suchin, Mike Lewis, Ari Holtzman, Noah A. Smith, & Luke Zettlemoyer. (2022). DEMix Layers: Disentangling Domains for Modular Language Modeling. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 5557–5576. 39 indexed citations

Peng, Hao, et al.. (2022). How Much Does Attention Actually Attend? Questioning the Importance of Attention in Pretrained Transformers. 1403–1416. 9 indexed citations

10.

Gade, Emily Kalah, et al.. (2022). Patterns of Bias: How Mainstream Media Operationalize Links between Mass Shootings and Terrorism. Political Communication. 39(6). 755–778. 13 indexed citations

11.

Sap, Maarten, et al.. (2022). Quantifying the narrative flow of imagined versus autobiographical stories. Proceedings of the National Academy of Sciences. 119(45). e2211715119–e2211715119. 12 indexed citations

12.

Dasigi, Pradeep, Kyle Lo, Iz Beltagy, et al.. (2021). A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers. 4599–4610. 48 indexed citations

13.

Mai, Florian, et al.. (2020). Plug and Play Autoencoders for Conditional Text Generation. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 6076–6092. 15 indexed citations

14.

August, Tal, Lauren Kim, Katharina Reinecke, & Noah A. Smith. (2020). Writing Strategies for Science Communication: Data and Computational Analysis. 5327–5344. 10 indexed citations

15.

Clark, Elizabeth, Aslı Çelikyılmaz, & Noah A. Smith. (2019). Sentence Mover’s Similarity: Automatic Evaluation for Multi-Sentence Texts. 2748–2760. 77 indexed citations

16.

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

17.

Jurafsky, Dan, Victor Chahuneau, Bryan Routledge, & Noah A. Smith. (2016). Linguistic Markers of Status in Food Culture: Bourdieu’s Distinction in a Menu Corpus. SHILAP Revista de lepidopterología. 1(1). 13 indexed citations

18.

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 →

19.

Faruqui, Manaal, Jesse Dodge, Sunil Kumar Jauhar, et al.. (2015). Retrofitting Word Vectors to Semantic Lexicons. 1606–1615. 426 indexed citations breakdown →

20.

Chahuneau, Victor, Eva Schlinger, Noah A. Smith, & Chris Dyer. (2013). Translating into Morphologically Rich Languages with Synthetic Phrases. Figshare. 1677–1687. 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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