F. Desobry
Impact in
- Signal Processing top 10%
- Time Series Analysis and Forecasting
- Speech and Audio Processing
- Music and Audio Processing
- Artificial Intelligence top 10%
- Anomaly Detection Techniques and Applications
- Data Stream Mining Techniques
Papers in
-
- Blind Source Separation Techniques 4
- Speech and Audio Processing 2
- Music and Audio Processing 2
-
- Anomaly Detection Techniques and Applications 2
- Co-authors
- Manuel Davy (7 shared papers)C. Doncarli (2 shared papers)Arthur Gretton (2 shared papers)Elizabeth Garnsey (1 shared paper)William J. Fitzgerald (2 shared papers)Cédric Févotte (1 shared paper)Stéphane Canu (1 shared paper)
- Journals
- Energy Policy (1 paper)IEEE Transactions on Signal Processing (1 paper)Signal Processing (1 paper)The European Symposium on Artificial Neural Networks (1 paper)2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). (2 papers)
- Partner nations
- FranceUnited KingdomGermany
In The Last Decade
F. Desobry
10 papers receiving 311 citations
Peers
Comparison fields: 5 of 68
- Signal Processing 91
- Artificial Intelligence 174
- Statistics, Probability and Uncertainty 36
- Statistics and Probability 32
- Computational Mathematics 2
Countries citing papers authored by F. Desobry
This map shows the geographic impact of F. Desobry'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 F. Desobry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F. Desobry more than expected).
Fields of papers citing papers by F. Desobry
This network shows the impact of papers produced by F. Desobry. 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 F. Desobry. The network helps show where F. Desobry may publish in the future.
Co-authors
The 7 scholars most cited alongside F. Desobry, 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 | 2005 | 169 | |
| 2 | 2005 | 92 | |
| 3 | 2010 | 27 | |
| 4 | 2003 | 18 | |
| 5 | 2004 | 15 | |
| 6 | A Class of Kernels for Sets of Vectors | 2005 | 7 |
| 7 | 2006 | 6 | |
| 8 | 2004 | 5 | |
| 9 | 2006 | 4 | |
| 10 | 2007 | 3 |
About F. Desobry
F. Desobry is a scholar working on Signal Processing, Artificial Intelligence, Control and Systems Engineering, Statistics, Probability and Uncertainty and Statistics and Probability, having authored 10 papers that have together received 346 indexed citations. Recurring topics across this work include Blind Source Separation Techniques (4 papers), Speech and Audio Processing (2 papers), Fault Detection and Control Systems (2 papers), Statistical Methods and Inference (2 papers), Anomaly Detection Techniques and Applications (2 papers), Music and Audio Processing (2 papers), Advanced Chemical Sensor Technologies (1 paper) and Network Security and Intrusion Detection (1 paper). The work is most often cited by research in Signal Processing (91 citations), Artificial Intelligence (174 citations), Statistics, Probability and Uncertainty (36 citations), Statistics and Probability (32 citations) and Computational Mathematics (2 citations). F. Desobry has collaborated with scholars based in France, United Kingdom and Germany. Frequent co-authors include Manuel Davy, C. Doncarli, Arthur Gretton, Elizabeth Garnsey, William J. Fitzgerald, Cédric Févotte and Stéphane Canu. Their work appears in journals such as Energy Policy, IEEE Transactions on Signal Processing, Signal Processing, The European Symposium on Artificial Neural Networks and 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..
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.