Noah A. Smith
Impact in
- General Social Sciences top 0.2%
- Computational and Text Analysis Methods
- Communication top 2%
- Social Media and Politics
Papers in
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- Computational and Text Analysis Methods 7
-
- Linguistic Variation and Morphology 3
- Co-authors
- Brendan O’ConnorDavid BammanEric P. XingJacob EisensteinJustin H. GrossTae YanoAmber E. BoydstunDallas Card
- Journals
- International Finance (1 paper)Transactions of the Association for Computational Linguistics (1 paper)Electoral Studies (1 paper)PLoS ONE (1 paper)First Monday (1 paper)
- Partner nations
- United States
In The Last Decade
Noah A. Smith
21 papers receiving 868 citations
Peers
Comparison fields: 5 of 84
- General Social Sciences 114
- Communication 198
- Artificial Intelligence 524
- Linguistics and Language 56
- Transportation 74
Countries citing papers authored by Noah A. Smith
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
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-authors
The 25 scholars most cited alongside Noah A. Smith, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | On-the-Fly Controlled Text Generation with Experts and Anti-Experts. | 2021 | 5 |
| 2 | 2021 | 1 | |
| 3 | 2018 | 20 | |
| 4 | 2018 | 21 | |
| 5 | 2018 | 15 | |
| 6 | 2018 | 36 | |
| 7 | 2018 | 23 | |
| 8 | 2018 | 137 | |
| 9 | 2018 | 22 | |
| 10 | 2016 | 6 | |
| 11 | 2016 | 1 | |
| 12 | 2015 | 125 | |
| 13 | 2014 | 132 | |
| 14 | 2014 | 4 | |
| 15 | 2014 | 33 | |
| 16 | 2013 | 77 | |
| 17 | Testing the Etch-a-Sketch Hypothesis: A Computational Analysis of Mitt Romney's Ideological Makeover During the 2012 Primary vs. General Elections | 2013 | 6 |
| 18 | 2012 | 190 | |
| 19 | 2010 | 70 | |
| 20 | Ellipsis Happens, and Deletion Is How | 2001 | 1 |
About Noah A. Smith
Noah A. Smith is a scholar working on General Social Sciences, Linguistics and Language, Communication, Artificial Intelligence and Cultural Studies, having authored 21 papers that have together received 955 indexed citations. Recurring topics across this work include Computational and Text Analysis Methods (7 papers), Topic Modeling (6 papers), Privacy, Security, and Data Protection (4 papers), Natural Language Processing Techniques (4 papers), Electoral Systems and Political Participation (3 papers), Linguistic Variation and Morphology (3 papers), Spam and Phishing Detection (2 papers) and Language and cultural evolution (2 papers). The work is most often cited by research in General Social Sciences (114 citations), Communication (198 citations), Artificial Intelligence (524 citations), Linguistics and Language (56 citations) and Transportation (74 citations). Noah A. Smith has collaborated with scholars based in United States. Frequent co-authors include Brendan O’Connor, David Bamman, Eric P. Xing, Jacob Eisenstein, Justin H. Gross, Tae Yano, Brendan O’Connor, Amber E. Boydstun, Dallas Card and Philip Resnik. Their work appears in journals such as International Finance, Transactions of the Association for Computational Linguistics, Electoral Studies, PLoS ONE and First Monday.
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.