François Desbouvries
- Artificial Intelligence top 10%
- Control and Systems Engineering top 10%
- Signal Processing top 10%
- Computer Networks and Communications
- Computer Vision and Pattern Recognition
- Co-authors
- Boujemaa Ait‐El‐FquihWojciech PieczynskiPhilippe LoubatonPhillip A. RegaliaFrançois SeptierWalid HachemInbar FijalkowA. Gorokhov
- Topics
- Target Tracking and Data Fusion in Sensor Networks (25 papers)Blind Source Separation Techniques (12 papers)Bayesian Methods and Mixture Models (10 papers)
- Journals
- IEEE Transactions on Automatic ControlIEEE Transactions on Information TheoryIEEE Transactions on Signal Processing
- Partner nations
- FranceUnited StatesBrazil
In The Last Decade
François Desbouvries
37 papers receiving 257 citations
Peers
Comparison fields: 5 of 50
- Artificial Intelligence 186
- Control and Systems Engineering 76
- Signal Processing 70
- Computer Networks and Communications 39
- Computer Vision and Pattern Recognition 29
Countries citing papers authored by François Desbouvries
This map shows the geographic impact of François Desbouvries'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 François Desbouvries with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites François Desbouvries more than expected).
Fields of papers citing papers by François Desbouvries
This network shows the impact of papers produced by François Desbouvries. 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 François Desbouvries. The network helps show where François Desbouvries may publish in the future.
Co-authorship network of co-authors of François Desbouvries
This figure shows the co-authorship network connecting the top 25 collaborators of François Desbouvries. A scholar is included among the top collaborators of François Desbouvries 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 François Desbouvries. François Desbouvries is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 9 | |
| 4 | 7 | |
| 5 | 5 | |
| 6 | 12 | |
| 7 | 1 | |
| 8 | Geometrical Aspects of Linear Prediction Algorithms | 0 |
| 9 | 2 | |
| 10 | 28 | |
| 11 | 9 | |
| 12 | 5 | |
| 13 | 8 | |
| 14 | 36 | |
| 15 | Image and signal restoration using pairwise Markov trees | 10 |
| 16 | 8 | |
| 17 | 10 | |
| 18 | 2 | |
| 19 | 3 | |
| 20 | 5 |
About François Desbouvries
François Desbouvries is a scholar working on Signal Processing, Artificial Intelligence and Statistics and Probability, having authored 41 papers that have together received 284 indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (25 papers), Blind Source Separation Techniques (12 papers) and Bayesian Methods and Mixture Models (10 papers). The work is most often cited by research in Signal Processing (70 citations), Artificial Intelligence (186 citations) and Control and Systems Engineering (76 citations). François Desbouvries has collaborated with scholars based in France, United States and Brazil. Frequent co-authors include Boujemaa Ait‐El‐Fquih, Wojciech Pieczynski, Philippe Loubaton, Phillip A. Regalia, François Septier, Walid Hachem, Inbar Fijalkow, A. Gorokhov, Mark R. Morelande and Christophe Vignat. Their work appears in journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Information Theory and IEEE Transactions on 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.