Myle Ott
Impact in
- Artificial Intelligence top 0.2%
- Topic Modeling
- Natural Language Processing Techniques
- Sentiment Analysis and Opinion Mining
- Speech Recognition and Synthesis
- Information Systems top 0.5%
- Spam and Phishing Detection
Papers in
-
- Topic Modeling 14
- Natural Language Processing Techniques 11
- Hate Speech and Cyberbullying Detection 4
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- Spam and Phishing Detection 7
- Co-authors
- Claire Cardie (8 shared papers)Michael Auli (4 shared papers)Sergey Edunov (3 shared papers)David Grangier (2 shared papers)Jeffrey T. Hancock (4 shared papers)Nathan Ng (2 shared papers)Alexei Baevski (2 shared papers)Angela Fan (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of the Association for Information Systems (1 paper)Proceedings of the VLDB Endowment (1 paper)North American Chapter of the Association for Computational Linguistics (1 paper)Proceedings of the International AAAI Conference on Web and Social Media (1 paper)
- Partner nations
- United StatesIsraelAustria
In The Last Decade
Myle Ott
24 papers receiving 5.6k citations
Myle Ott's Hit Papers
Peers
Comparison fields: 5 of 163
- Artificial Intelligence 3.7k
- Information Systems 1.2k
- Computer Vision and Pattern Recognition 901
- Signal Processing 409
- Molecular Biology 1.4k
Countries citing papers authored by Myle Ott
This map shows the geographic impact of Myle Ott'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 Myle Ott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Myle Ott more than expected).
Fields of papers citing papers by Myle Ott
This network shows the impact of papers produced by Myle Ott. 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 Myle Ott. The network helps show where Myle Ott may publish in the future.
Co-authors
The 25 scholars most cited alongside Myle Ott, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences Hit paper breakdown → | 2021 | 1591 |
| 2 | fairseq: A Fast, Extensible Toolkit for Sequence Modeling Hit paper breakdown → | 2019 | 1486 |
| 3 | Understanding Back-Translation at Scale Hit paper breakdown → | 2018 | 604 |
| 4 | Finding Deceptive Opinion Spam by Any Stretch of the Imagination Hit paper breakdown → | 2011 | 539 |
| 5 | 2018 | 282 | |
| 6 | Towards a General Rule for Identifying Deceptive Opinion Spam Hit paper breakdown → | 2014 | 281 |
| 7 | Negative Deceptive Opinion Spam | 2013 | 219 |
| 8 | 2012 | 212 | |
| 9 | 2011 | 189 | |
| 10 | 2019 | 178 | |
| 11 | 2020 | 101 | |
| 12 | PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel Hit paper breakdown → | 2023 | 90 |
| 13 | 2013 | 33 | |
| 14 | Impact of Mobility and Timing on User-Generated Content | 2014 | 31 |
| 15 | In Search of a Gold Standard in Studies of Deception | 2012 | 28 |
| 16 | 2021 | 24 | |
| 17 | 2019 | 24 | |
| 18 | 2019 | 18 | |
| 19 | Mix-review: Alleviate Forgetting in the Pretrain-Finetune Framework for Neural Language Generation Models | 2019 | 4 |
| 20 | 2021 | 3 |
About Myle Ott
Myle Ott is a scholar working on Artificial Intelligence, Information Systems, Sociology and Political Science, Computer Vision and Pattern Recognition and Social Psychology, having authored 24 papers that have together received 5.9k indexed citations. Recurring topics across this work include Topic Modeling (14 papers), Natural Language Processing Techniques (11 papers), Spam and Phishing Detection (7 papers), Misinformation and Its Impacts (6 papers), Multimodal Machine Learning Applications (6 papers), Hate Speech and Cyberbullying Detection (4 papers), Deception detection and forensic psychology (3 papers) and Computational and Text Analysis Methods (2 papers). The work is most often cited by research in Artificial Intelligence (3.7k citations), Information Systems (1.2k citations), Computer Vision and Pattern Recognition (901 citations), Signal Processing (409 citations) and Molecular Biology (1.4k citations). Myle Ott has collaborated with scholars based in United States, Israel and Austria. Frequent co-authors include Claire Cardie, Michael Auli, Sergey Edunov, David Grangier, Jeffrey T. Hancock, Nathan Ng, Alexei Baevski, Angela Fan, Sam Gross and Siddharth Goyal. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the Association for Information Systems, Proceedings of the VLDB Endowment, North American Chapter of the Association for Computational Linguistics and Proceedings of the International AAAI Conference on Web and Social Media.
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.