Christophe Blanc
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence
- Automotive Engineering top 10%
- Aerospace Engineering
- Electrical and Electronic Engineering
- Co-authors
- Thierry ChâteauLaurent TrassoudainePaul ChecchinChristophe GarcíaStefan DuffnerJ. GalliceRomuald AufrèreRoland Chapuis
- Topics
- Target Tracking and Data Fusion in Sensor Networks (10 papers)Video Surveillance and Tracking Methods (8 papers)Anomaly Detection Techniques and Applications (5 papers)
In The Last Decade
Christophe Blanc
19 papers receiving 277 citations
Peers
Comparison fields: 5 of 54
- Computer Vision and Pattern Recognition 172
- Artificial Intelligence 88
- Automotive Engineering 83
- Aerospace Engineering 54
- Electrical and Electronic Engineering 48
Countries citing papers authored by Christophe Blanc
This map shows the geographic impact of Christophe Blanc'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 Christophe Blanc with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christophe Blanc more than expected).
Fields of papers citing papers by Christophe Blanc
This network shows the impact of papers produced by Christophe Blanc. 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 Christophe Blanc. The network helps show where Christophe Blanc may publish in the future.
Co-authorship network of co-authors of Christophe Blanc
This figure shows the co-authorship network connecting the top 25 collaborators of Christophe Blanc. A scholar is included among the top collaborators of Christophe Blanc 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 Christophe Blanc. Christophe Blanc is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 9 | |
| 3 | 52 | |
| 4 | 6 | |
| 5 | 6 | |
| 6 | 4 | |
| 7 | 3 | |
| 8 | 6 | |
| 9 | 1 | |
| 10 | 66 | |
| 11 | Non-parametric laser and video data fusion: Application to pedestrian detection in urban environment | 7 |
| 12 | 12 | |
| 13 | 19 | |
| 14 | 5 | |
| 15 | 5 | |
| 16 | 33 | |
| 17 | 2 | |
| 18 | 23 | |
| 19 | 19 |
About Christophe Blanc
Christophe Blanc is a scholar working on Computer Vision and Pattern Recognition, Instrumentation and Artificial Intelligence, having authored 19 papers that have together received 286 indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (10 papers), Video Surveillance and Tracking Methods (8 papers) and Anomaly Detection Techniques and Applications (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (172 citations), Automotive Engineering (83 citations) and Instrumentation (21 citations). Christophe Blanc has collaborated with scholars based in France and Argentina. Frequent co-authors include Thierry Château, Laurent Trassoudaine, Paul Checchin, Christophe García, Stefan Duffner, J. Gallice, Romuald Aufrère, Roland Chapuis, Frédéric Chausse and Pierre Duthon. Their work appears in journals such as Pattern Recognition, IEEE Transactions on Intelligent Transportation Systems and Pattern Recognition Letters.
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.