Dominique Genoud
- Signal Processing top 5%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications top 10%
- Electrical and Electronic Engineering
- Co-authors
- Antonio J. JaraYann BocchiJean HennebertJuergen LuettinPierre JourlinFrédéric BimbotM. Victoria MorenoAntonio Skármeta
- Topics
- Speech Recognition and Synthesis (16 papers)Speech and Audio Processing (8 papers)Speech and dialogue systems (7 papers)
- Journals
- Food ChemistrySensorsPhytochemistry
- Partner nations
- SwitzerlandFranceSweden
In The Last Decade
Dominique Genoud
46 papers receiving 537 citations
Peers
Comparison fields: 5 of 107
- Signal Processing 206
- Artificial Intelligence 199
- Computer Vision and Pattern Recognition 137
- Computer Networks and Communications 106
- Electrical and Electronic Engineering 80
Countries citing papers authored by Dominique Genoud
This map shows the geographic impact of Dominique Genoud'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 Dominique Genoud with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dominique Genoud more than expected).
Fields of papers citing papers by Dominique Genoud
This network shows the impact of papers produced by Dominique Genoud. 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 Dominique Genoud. The network helps show where Dominique Genoud may publish in the future.
Co-authorship network of co-authors of Dominique Genoud
This figure shows the co-authorship network connecting the top 25 collaborators of Dominique Genoud. A scholar is included among the top collaborators of Dominique Genoud 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 Dominique Genoud. Dominique Genoud is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 18 | |
| 4 | 11 | |
| 5 | 39 | |
| 6 | 6 | |
| 7 | 7 | |
| 8 | 23 | |
| 9 | 4 | |
| 10 | 5 | |
| 11 | 10 | |
| 12 | Integrating speaker and speech recognizers: Automatic identity claim capture for speaker verification. | 3 |
| 13 | Solder assembly of cantilever bar force or displacement sensors | 1 |
| 14 | 17 | |
| 15 | 58 | |
| 16 | 5 | |
| 17 | Polycost : a telephone-speech database for speaker recognition | 10 |
| 18 | 7 | |
| 19 | 1997 NIST Evaluation: Text independent speaker detection (verification) | 1 |
| 20 | Multi-modal person verification tools using speech and images | 12 |
About Dominique Genoud
Dominique Genoud is a scholar working on Signal Processing, Transportation and Artificial Intelligence, having authored 50 papers that have together received 616 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (16 papers), Speech and Audio Processing (8 papers) and Speech and dialogue systems (7 papers). The work is most often cited by research in Signal Processing (206 citations), Computer Vision and Pattern Recognition (137 citations) and Artificial Intelligence (199 citations). Dominique Genoud has collaborated with scholars based in Switzerland, France and Sweden. Frequent co-authors include Antonio J. Jara, Yann Bocchi, Jean Hennebert, Juergen Luettin, Pierre Jourlin, Frédéric Bimbot, M. Victoria Moreno, Antonio Skármeta, Gérard Chollet and Jean-Jacques Bézian. Their work appears in journals such as Food Chemistry, Sensors and Phytochemistry.
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.