Greg Durrett
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
- Artificial Intelligence top 1%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Speech and dialogue systems
- Text Readability and Simplification
Papers in ⓘ
-
- Topic Modeling 63
- Natural Language Processing Techniques 55
- Advanced Text Analysis Techniques 9
- Speech and dialogue systems 6
- Explainable Artificial Intelligence (XAI) 5
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- Multimodal Machine Learning Applications 9
- Co-authors
- Dan Klein (9 shared papers)Jiacheng Xu (9 shared papers)Yasumasa Onoe (6 shared papers)John DeNero (1 shared paper)Junyi Jessy Li (10 shared papers)Tanya Goyal (8 shared papers)Liyan Tang (5 shared papers)David Hall (2 shared papers)
- Journals
- Proceedings of the ACM on Programming Languages (3 papers)Transactions of the Association for Computational Linguistics (2 papers)Journal of Pediatric Surgery (1 paper)npj Digital Medicine (1 paper)Findings of the Association for Computational Linguistics: ACL 2022 (1 paper)
- Partner nations
- United StatesAustraliaIndia
In The Last Decade
Greg Durrett
69 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 100
- Health Informatics 105
- Artificial Intelligence 1.3k
- Computer Vision and Pattern Recognition 210
- Management Science and Operations Research 89
- Information Systems 145
Countries citing papers authored by Greg Durrett
This map shows the geographic impact of Greg Durrett'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 Greg Durrett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Greg Durrett more than expected).
Fields of papers citing papers by Greg Durrett
This network shows the impact of papers produced by Greg Durrett. 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 Greg Durrett. The network helps show where Greg Durrett may publish in the future.
Co-authors
The 25 scholars most cited alongside Greg Durrett, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 171 | |
| 2 | 2014 | 135 | |
| 3 | 2013 | 115 | |
| 4 | 2019 | 81 | |
| 5 | Supervised Learning of Complete Morphological Paradigms | 2013 | 78 |
| 6 | 2018 | 73 | |
| 7 | 2006 | 70 | |
| 8 | 2015 | 54 | |
| 9 | 2020 | 49 | |
| 10 | 2017 | 46 | |
| 11 | Syntactic Transfer Using a Bilingual Lexicon | 2012 | 37 |
| 12 | 2014 | 33 | |
| 13 | 2021 | 32 | |
| 14 | 2015 | 31 | |
| 15 | 2011 | 28 | |
| 16 | Decentralized Entity-Level Modeling for Coreference Resolution | 2013 | 25 |
| 17 | 2023 | 24 | |
| 18 | 2020 | 23 | |
| 19 | 2023 | 21 | |
| 20 | 2018 | 21 |
About Greg Durrett
Greg Durrett is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Management Science and Operations Research and Health Informatics, having authored 75 papers that have together received 1.6k indexed citations. Recurring topics across this work include Topic Modeling (63 papers), Natural Language Processing Techniques (55 papers), Multimodal Machine Learning Applications (9 papers), Software Engineering Research (9 papers), Advanced Text Analysis Techniques (9 papers), Data Quality and Management (7 papers), Speech and dialogue systems (6 papers) and Explainable Artificial Intelligence (XAI) (5 papers). The work is most often cited by research in Health Informatics (105 citations), Artificial Intelligence (1.3k citations), Computer Vision and Pattern Recognition (210 citations), Management Science and Operations Research (89 citations) and Information Systems (145 citations). Greg Durrett has collaborated with scholars based in United States, Australia and India. Frequent co-authors include Dan Klein, Jiacheng Xu, Yasumasa Onoe, John DeNero, Junyi Jessy Li, Tanya Goyal, Liyan Tang, David Hall, Justin F. Rousseau and Xi Ye. Their work appears in journals such as Proceedings of the ACM on Programming Languages, Transactions of the Association for Computational Linguistics, Journal of Pediatric Surgery, npj Digital Medicine and Findings of the Association for Computational Linguistics: ACL 2022.
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.