Françoise Beaufays
- Artificial Intelligence top 0.5%
- Signal Processing top 0.5%
- Computer Vision and Pattern Recognition top 2%
- Electrical and Electronic Engineering top 10%
- Control and Systems Engineering top 5%
- Co-authors
- Haşim SakAndrew SeniorKanishka RaoBernard WidrowY.L. Abdel-MagidM. WeintraubFuchun PengJohan Schalkwyk
- Topics
- Speech Recognition and Synthesis (46 papers)Music and Audio Processing (23 papers)Speech and Audio Processing (20 papers)
- Partner nations
- United StatesJapanAustria
In The Last Decade
Françoise Beaufays
64 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Artificial Intelligence 2.1k
- Signal Processing 1.2k
- Computer Vision and Pattern Recognition 481
- Electrical and Electronic Engineering 419
- Control and Systems Engineering 306
Countries citing papers authored by Françoise Beaufays
This map shows the geographic impact of Françoise Beaufays'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 Françoise Beaufays with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Françoise Beaufays more than expected).
Fields of papers citing papers by Françoise Beaufays
This network shows the impact of papers produced by Françoise Beaufays. 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 Françoise Beaufays. The network helps show where Françoise Beaufays may publish in the future.
Co-authorship network of co-authors of Françoise Beaufays
This figure shows the co-authorship network connecting the top 25 collaborators of Françoise Beaufays. A scholar is included among the top collaborators of Françoise Beaufays 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 Françoise Beaufays. Françoise Beaufays is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 22 | |
| 3 | 7 | |
| 4 | 28 | |
| 5 | 97 | |
| 6 | 76 | |
| 7 | 106 | |
| 8 | 100 | |
| 9 | 29 | |
| 10 | Long short-term memory recurrent neural network architectures for large scale acoustic modelingbreakdown → | 1943 |
| 11 | 2 | |
| 12 | 6 | |
| 13 | 10 | |
| 14 | 8 | |
| 15 | 9 | |
| 16 | 12 | |
| 17 | Neural Networks in Automatic Speech Recognition | 4 |
| 18 | 35 | |
| 19 | 120 | |
| 20 | 10 |
About Françoise Beaufays
Françoise Beaufays is a scholar working on Signal Processing, Artificial Intelligence and Computer Science Applications, having authored 65 papers that have together received 3.5k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (46 papers), Music and Audio Processing (23 papers) and Speech and Audio Processing (20 papers). The work is most often cited by research in Signal Processing (1.2k citations), Artificial Intelligence (2.1k citations) and Computer Vision and Pattern Recognition (481 citations). Françoise Beaufays has collaborated with scholars based in United States, Japan and Austria. Frequent co-authors include Haşim Sak, Andrew Senior, Kanishka Rao, Bernard Widrow, Y.L. Abdel-Magid, M. Weintraub, Fuchun Peng, Johan Schalkwyk, Eric A. Wan and Brian Strope. Their work appears in journals such as IEEE Transactions on Signal Processing, Neural Computation and Neural Networks.
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.