H. Bourlard
- Signal Processing top 0.2%
- Speech and Audio Processing 45
- Music and Audio Processing 26
- Blind Source Separation Techniques 9
- Artificial Intelligence top 0.5%
- Speech Recognition and Synthesis 51
- Neural Networks and Applications 14
- Speech and dialogue systems 6
- Natural Language Processing Techniques 6
- Computational Mechanics top 5%
- Advanced Adaptive Filtering Techniques 3
- Co-authors
- Y. KampN. MorganIain McCowanC. WellekensStéphane DupontHemant MisraShajith IkbalSteve Renals
- Journals
- IEEE Transactions on Speech and Audio Processing (3 papers)IEEE Signal Processing Magazine (2 papers)IEEE Transactions on Audio Speech and Language Processing (2 papers)
- Partner nations
- SwitzerlandUnited StatesBelgium
In The Last Decade
H. Bourlard
64 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Signal Processing 1.8k
- Artificial Intelligence 2.1k
- Computer Vision and Pattern Recognition 695
- Computational Mechanics 248
- Computational Mathematics 6
Countries citing papers authored by H. Bourlard
This map shows the geographic impact of H. Bourlard'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 H. Bourlard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. Bourlard more than expected).
Fields of papers citing papers by H. Bourlard
This network shows the impact of papers produced by H. Bourlard. 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 H. Bourlard. The network helps show where H. Bourlard may publish in the future.
Co-authorship network
The 25 scholars most cited alongside H. Bourlard, 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 | 2006 | 3 | |
| 2 | 2004 | 1 | |
| 3 | 2004 | 6 | |
| 4 | 2004 | 40 | |
| 5 | 2004 | 84 | |
| 6 | 2003 | 7 | |
| 7 | 2003 | 4 | |
| 8 | 2003 | 20 | |
| 9 | 2003 | 40 | |
| 10 | 2003 | 9 | |
| 11 | 2002 | 3 | |
| 12 | 2002 | 6 | |
| 13 | 2002 | 8 | |
| 14 | 2002 | 5 | |
| 15 | 2002 | 45 | |
| 16 | 1996 | 7 | |
| 17 | 1993 | 63 | |
| 18 | Generalization and Parameter Estimation in Feedforward Nets: Some Experiments | 1989 | 153 |
| 19 | 1989 | 55 | |
| 20 | Auto-association by multilayer perceptrons and singular value decompositionbreakdown → | 1988 | 833 |
About H. Bourlard
H. Bourlard is a scholar working on Signal Processing, Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Mechanics and Media Technology, having authored 65 papers that have together received 3.2k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (51 papers), Speech and Audio Processing (45 papers), Music and Audio Processing (26 papers), Neural Networks and Applications (14 papers), Blind Source Separation Techniques (9 papers), Speech and dialogue systems (6 papers), Natural Language Processing Techniques (6 papers) and Advanced Adaptive Filtering Techniques (3 papers). The work is most often cited by research in Signal Processing (1.8k citations), Artificial Intelligence (2.1k citations), Computer Vision and Pattern Recognition (695 citations), Computational Mechanics (248 citations) and Computational Mathematics (6 citations). H. Bourlard has collaborated with scholars based in Switzerland, United States and Belgium. Frequent co-authors include Y. Kamp, N. Morgan, Iain McCowan, C. Wellekens, Stéphane Dupont, Hemant Misra, Shajith Ikbal, Steve Renals, Datong Chen and Hynek Heřmanský. Their work appears in journals such as IEEE Transactions on Speech and Audio Processing, IEEE Signal Processing Magazine, IEEE Transactions on Audio Speech and Language Processing, IEEE Signal Processing Letters and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.