Yves Normandin
- Artificial Intelligence top 5%
- Signal Processing top 2%
- Computer Vision and Pattern Recognition top 10%
- Molecular Biology
- Experimental and Cognitive Psychology
- Co-authors
- Renato De MoriS.D. MorgeraJulie BrousseauRoland KühnPierre IsabelleGeorge FosterMarc DymetmanSimona Gandrabur
- Topics
- Speech Recognition and Synthesis (17 papers)Speech and Audio Processing (9 papers)Natural Language Processing Techniques (7 papers)
- Journals
- IEEE Transactions on Speech and Audio ProcessingSpeech CommunicationIEEE International Conference on Acoustics Speech and Signal Processing
- Partner nations
- CanadaUnited States
In The Last Decade
Yves Normandin
21 papers receiving 383 citations
Peers
Comparison fields: 5 of 32
- Artificial Intelligence 415
- Signal Processing 260
- Computer Vision and Pattern Recognition 71
- Molecular Biology 10
- Experimental and Cognitive Psychology 9
Countries citing papers authored by Yves Normandin
This map shows the geographic impact of Yves Normandin'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 Yves Normandin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yves Normandin more than expected).
Fields of papers citing papers by Yves Normandin
This network shows the impact of papers produced by Yves Normandin. 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 Yves Normandin. The network helps show where Yves Normandin may publish in the future.
Co-authorship network of co-authors of Yves Normandin
This figure shows the co-authorship network connecting the top 25 collaborators of Yves Normandin. A scholar is included among the top collaborators of Yves Normandin 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 Yves Normandin. Yves Normandin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 11 | |
| 3 | 2 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 9 | |
| 7 | 22 | |
| 8 | 38 | |
| 9 | 34 | |
| 10 | 3 | |
| 11 | 23 | |
| 12 | 75 | |
| 13 | 0 | |
| 14 | 5 | |
| 15 | 12 | |
| 16 | 11 | |
| 17 | 1 | |
| 18 | Hidden Markov models, maximum mutual information estimation, and the speech recognition problem | 101 |
| 19 | 10 | |
| 20 | 17 |
About Yves Normandin
Yves Normandin is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 22 papers that have together received 441 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (17 papers), Speech and Audio Processing (9 papers) and Natural Language Processing Techniques (7 papers). The work is most often cited by research in Signal Processing (260 citations), Artificial Intelligence (415 citations) and Computer Vision and Pattern Recognition (71 citations). Yves Normandin has collaborated with scholars based in Canada and United States. Frequent co-authors include Renato De Mori, S.D. Morgera, Julie Brousseau, Roland Kühn, Pierre Isabelle, George Foster, Marc Dymetman, Simona Gandrabur, Paul Fortier and Yoshua Bengio. Their work appears in journals such as IEEE Transactions on Speech and Audio Processing, Speech Communication and IEEE International Conference on Acoustics Speech and Signal Processing.
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.