Teven Le Scao
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Sociology and Political Science
- Health Informatics top 5%
- Co-authors
- Victor SanhCanwen XuThomas WolfQuentin LhoestYacine JerniteJulien PluAnthony MoiAlexander M. Rush
- Topics
- Natural Language Processing Techniques (4 papers)Topic Modeling (3 papers)Multimodal Machine Learning Applications (2 papers)
- Journals
- arXiv (Cornell University)Zenodo (CERN European Organization for Nuclear Research)
- Partner nations
- United StatesFranceAustria
In The Last Decade
Teven Le Scao
4 papers receiving 747 citations
Hit Papers
Peers
Comparison fields: 5 of 82
- Artificial Intelligence 722
- Computer Vision and Pattern Recognition 137
- Information Systems 68
- Sociology and Political Science 37
- Health Informatics 35
Countries citing papers authored by Teven Le Scao
This map shows the geographic impact of Teven Le Scao'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 Teven Le Scao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Teven Le Scao more than expected).
Fields of papers citing papers by Teven Le Scao
This network shows the impact of papers produced by Teven Le Scao. 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 Teven Le Scao. The network helps show where Teven Le Scao may publish in the future.
Co-authorship network of co-authors of Teven Le Scao
This figure shows the co-authorship network connecting the top 25 collaborators of Teven Le Scao. A scholar is included among the top collaborators of Teven Le Scao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Teven Le Scao. Teven Le Scao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | Crosslingual Generalization through Multitask Finetuningbreakdown → | 190 |
| 3 | 18 | |
| 4 | BLOOM: A 176B-Parameter Open-Access Multilingual Language Modelbreakdown → | 174 |
| 5 | Transformers: State-of-the-Art Natural Language Processingbreakdown → | 436 |
About Teven Le Scao
Teven Le Scao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Infectious Diseases, having authored 5 papers that have together received 819 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (4 papers), Topic Modeling (3 papers) and Multimodal Machine Learning Applications (2 papers). The work is most often cited by research in Health Informatics (35 citations), Artificial Intelligence (722 citations) and Computer Vision and Pattern Recognition (137 citations). Teven Le Scao has collaborated with scholars based in United States, France and Austria. Frequent co-authors include Victor Sanh, Canwen Xu, Thomas Wolf, Quentin Lhoest, Yacine Jernite, Julien Plu, Anthony Moi, Alexander M. Rush, Julien Chaumond and Lysandre Debut. Their work appears in journals such as arXiv (Cornell University) and Zenodo (CERN European Organization for Nuclear Research).
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.