Noah Constant
- Artificial Intelligence top 0.5%
- Natural Language Processing Techniques 17
- Topic Modeling 15
- Advanced Text Analysis Techniques 2
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- Multimodal Machine Learning Applications 5
- Health Informatics top 5%
- Information Systems top 2%
- General Social Sciences top 1%
- Computational and Text Analysis Methods 1
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- Syntax, Semantics, Linguistic Variation 6
- Language, Discourse, Communication Strategies 5
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- Linguistic Variation and Morphology 2
- Co-authors
- Rami Al‐RfouDaniel CerAditya BaruaMihir KaleLinting XueColin RaffelAdam P. RobertsYinfei Yang
- Journals
- Transactions of the Association for Computational Linguistics (2 papers)Linguistics and Philosophy (1 paper)Findings of the Association for Computational Linguistics: ACL 2022 (1 paper)
- Partner nations
- United StatesSwitzerland
In The Last Decade
Noah Constant
22 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Artificial Intelligence 2.1k
- Computer Vision and Pattern Recognition 451
- Health Informatics 25
- Information Systems 275
- General Social Sciences 40
Countries citing papers authored by Noah Constant
This map shows the geographic impact of Noah Constant'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 Constant with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noah Constant more than expected).
Fields of papers citing papers by Noah Constant
This network shows the impact of papers produced by Noah Constant. 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 Constant. The network helps show where Noah Constant may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Noah Constant, 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 | 2024 | 25 | |
| 2 | 2023 | 11 | |
| 3 | 2023 | 4 | |
| 4 | Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text Modelsbreakdown → | 2022 | 138 |
| 5 | 2022 | 11 | |
| 6 | 2022 | 112 | |
| 7 | 2022 | 114 | |
| 8 | mT5: A Massively Multilingual Pre-trained Text-to-Text Transformerbreakdown → | 2021 | 841 |
| 9 | 2021 | 23 | |
| 10 | 2021 | 13 | |
| 11 | 2021 | 7 | |
| 12 | 2020 | 21 | |
| 13 | 2020 | 228 | |
| 14 | Universal Sentence Encoder for Englishbreakdown → | 2018 | 705 |
| 15 | 2018 | 54 | |
| 16 | 2018 | 86 | |
| 17 | 2015 | 1 | |
| 18 | 2012 | 9 | |
| 19 | 2012 | 37 | |
| 20 | Mandarin 'even', `all' and the Trigger of Focus Movement | 2010 | 6 |
About Noah Constant
Noah Constant is a scholar working on Language and Linguistics, Linguistics and Language, Artificial Intelligence, General Social Sciences and Computer Vision and Pattern Recognition, having authored 22 papers that have together received 2.5k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (17 papers), Topic Modeling (15 papers), Syntax, Semantics, Linguistic Variation (6 papers), Multimodal Machine Learning Applications (5 papers), Language, Discourse, Communication Strategies (5 papers), Linguistic Variation and Morphology (2 papers), Advanced Text Analysis Techniques (2 papers) and Computational and Text Analysis Methods (1 paper). The work is most often cited by research in Artificial Intelligence (2.1k citations), Computer Vision and Pattern Recognition (451 citations), Health Informatics (25 citations), Information Systems (275 citations) and General Social Sciences (40 citations). Noah Constant has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Rami Al‐Rfou, Daniel Cer, Aditya Barua, Mihir Kale, Linting Xue, Colin Raffel, Adam P. Roberts, Yinfei Yang, Aditya Siddhant and Ray Kurzweil. Their work appears in journals such as Transactions of the Association for Computational Linguistics, Linguistics and Philosophy, Findings of the Association for Computational Linguistics: ACL 2022, Scholarly Commons (University of Pennsylvania) and Scholarworks (University of Massachusetts Amherst).
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.