J.-P. Le Cadre
- Artificial Intelligence top 1%
- Aerospace Engineering top 5%
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Topics
- Target Tracking and Data Fusion in Sensor Networks (34 papers)Structural Health Monitoring Techniques (10 papers)Gaussian Processes and Bayesian Inference (6 papers)
- Journals
- AutomaticaIEEE Transactions on Signal ProcessingIEEE Transactions on Aerospace and Electronic Systems
- Partner nations
- FranceUnited KingdomUnited States
In The Last Decade
J.-P. Le Cadre
44 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 70
- Artificial Intelligence 865
- Aerospace Engineering 395
- Computer Vision and Pattern Recognition 306
- Computer Networks and Communications 273
- Electrical and Electronic Engineering 230
Countries citing papers authored by J.-P. Le Cadre
This map shows the geographic impact of J.-P. Le Cadre'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 J.-P. Le Cadre with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J.-P. Le Cadre more than expected).
Fields of papers citing papers by J.-P. Le Cadre
This network shows the impact of papers produced by J.-P. Le Cadre. 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 J.-P. Le Cadre. The network helps show where J.-P. Le Cadre may publish in the future.
Co-authorship network of co-authors of J.-P. Le Cadre
This figure shows the co-authorship network connecting the top 25 collaborators of J.-P. Le Cadre. A scholar is included among the top collaborators of J.-P. Le Cadre 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 J.-P. Le Cadre. J.-P. Le Cadre is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 27 | |
| 2 | 0 | |
| 3 | 29 | |
| 4 | 1 | |
| 5 | 39 | |
| 6 | 2 | |
| 7 | 14 | |
| 8 | 1 | |
| 9 | 8 | |
| 10 | 9 | |
| 11 | Searching tracks | 18 |
| 12 | 10 | |
| 13 | 53 | |
| 14 | 27 | |
| 15 | 11 | |
| 16 | 1 | |
| 17 | 20 | |
| 18 | 3 | |
| 19 | 2 | |
| 20 | 109 |
About J.-P. Le Cadre
J.-P. Le Cadre is a scholar working on Signal Processing, Artificial Intelligence and Civil and Structural Engineering, having authored 48 papers that have together received 1.3k indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (34 papers), Structural Health Monitoring Techniques (10 papers) and Gaussian Processes and Bayesian Inference (6 papers). The work is most often cited by research in Artificial Intelligence (865 citations), Signal Processing (220 citations) and Aerospace Engineering (395 citations). J.-P. Le Cadre has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Patrick Pérez, Carine Hue, Claude Jauffret, Patrick Bouthémy and Sébastien Paris. Their work appears in journals such as Automatica, IEEE Transactions on Signal Processing and IEEE Transactions on Aerospace and Electronic Systems.
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.