Jade Copet
Impact in
- Signal Processing top 5%
- Speech and Audio Processing
- Music and Audio Processing
- Artificial Intelligence top 5%
- Speech Recognition and Synthesis
- Natural Language Processing Techniques
- Topic Modeling
- Speech and dialogue systems
Papers in
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- Speech Recognition and Synthesis 8
- Topic Modeling 6
- Natural Language Processing Techniques 3
- Speech and dialogue systems 1
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- Music and Audio Processing 5
- Speech and Audio Processing 1
- Co-authors
- Yossi Adi (12 shared papers)Wei-Ning Hsu (10 shared papers)Emmanuel Dupoux (12 shared papers)Eugene Kharitonov (5 shared papers)Kushal Lakhotia (5 shared papers)Adam Polyak (5 shared papers)Abdelrahman Mohamed (3 shared papers)Ann Lee (4 shared papers)
- Journals
- Transactions of the Association for Computational Linguistics (2 papers)SPIRE - Sciences Po Institutional REpository (3 papers)Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (1 paper)arXiv (Cornell University) (2 papers)
- Partner nations
- FranceIsraelUnited States
In The Last Decade
Jade Copet
12 papers receiving 254 citations
Peers
Comparison fields: 5 of 24
- Signal Processing 121
- Artificial Intelligence 248
- Experimental and Cognitive Psychology 24
- Computer Vision and Pattern Recognition 19
- Health Informatics 1
Countries citing papers authored by Jade Copet
This map shows the geographic impact of Jade Copet'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 Jade Copet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jade Copet more than expected).
Fields of papers citing papers by Jade Copet
This network shows the impact of papers produced by Jade Copet. 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 Jade Copet. The network helps show where Jade Copet may publish in the future.
Co-authors
The 22 scholars most cited alongside Jade Copet, 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 | 2021 | 144 | |
| 2 | 2022 | 26 | |
| 3 | 2023 | 20 | |
| 4 | 2022 | 17 | |
| 5 | 2022 | 14 | |
| 6 | 2021 | 13 | |
| 7 | 2021 | 10 | |
| 8 | 2023 | 10 | |
| 9 | 2023 | 9 | |
| 10 | 2023 | 3 | |
| 11 | 2023 | 2 | |
| 12 | 2023 | 1 |
About Jade Copet
Jade Copet is a scholar working on Artificial Intelligence, Signal Processing, Experimental and Cognitive Psychology, General Social Sciences and Infectious Diseases, having authored 12 papers that have together received 269 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (8 papers), Topic Modeling (6 papers), Music and Audio Processing (5 papers), Natural Language Processing Techniques (3 papers), Speech and Audio Processing (1 paper), Phonetics and Phonology Research (1 paper), Computational and Text Analysis Methods (1 paper) and Speech and dialogue systems (1 paper). The work is most often cited by research in Signal Processing (121 citations), Artificial Intelligence (248 citations), Experimental and Cognitive Psychology (24 citations), Computer Vision and Pattern Recognition (19 citations) and Health Informatics (1 citation). Jade Copet has collaborated with scholars based in France, Israel and United States. Frequent co-authors include Yossi Adi, Wei-Ning Hsu, Emmanuel Dupoux, Eugene Kharitonov, Kushal Lakhotia, Adam Polyak, Abdelrahman Mohamed, Ann Lee, Abdelrahman Mohamed and Paden Tomasello. Their work appears in journals such as Transactions of the Association for Computational Linguistics, SPIRE - Sciences Po Institutional REpository, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) and arXiv (Cornell University).
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.