Pierre Dumouchel
About
In The Last Decade
Pierre Dumouchel
81 papers receiving 4.9k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Artificial Intelligence 5.0k
- Signal Processing 4.7k
- Computer Vision and Pattern Recognition 531
- Experimental and Cognitive Psychology 343
- Physiology 127
Countries citing papers authored by Pierre Dumouchel
This map shows the geographic impact of Pierre Dumouchel'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 Pierre Dumouchel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pierre Dumouchel more than expected).
Fields of papers citing papers by Pierre Dumouchel
This network shows the impact of papers produced by Pierre Dumouchel. 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 Pierre Dumouchel. The network helps show where Pierre Dumouchel may publish in the future.
Co-authorship network of co-authors of Pierre Dumouchel
This figure shows the co-authorship network connecting the top 25 collaborators of Pierre Dumouchel. A scholar is included among the top collaborators of Pierre Dumouchel 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 Pierre Dumouchel. Pierre Dumouchel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 28 | |
| 5 | 5 | |
| 6 | 57 | |
| 7 | Mean shift algorithm for exponential families with applications to speaker clustering. | 4 |
| 8 | First attempt of boltzmann machines for speaker verification. | 35 |
| 9 | Preliminary investigation of Boltzmann machine classifiers for speaker recognition. | 30 |
| 10 | 2 | |
| 11 | An i-vector extractor suitable for speaker recognition with both microphone and telephone speech | 75 |
| 12 | 228 | |
| 13 | The role of speaker factors in the NIST extended data task. | 9 |
| 14 | Kernel combination for SVM speaker verification | 9 |
| 15 | Comparison between factor analysis and GMM support vector machines for speaker verification | 8 |
| 16 | Leveraging emotion detection using emotions form yes-no answers | 2 |
| 17 | 31 | |
| 18 | Experiments in speaker verification using factor analysis likelihood ratios | 43 |
| 19 | 4 | |
| 20 | 1 |
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.