Véronique Cherfaoui
- Computer Vision and Pattern Recognition top 5%
- Automotive Engineering top 10%
- Aerospace Engineering top 10%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Co-authors
- Philippe BonnifaitDominique GruyerFranck DavoineSergio RodríguezVincent FrémontReine TaljFranck GuillemardFrançois Aioun
- Topics
- Autonomous Vehicle Technology and Safety (10 papers)Target Tracking and Data Fusion in Sensor Networks (8 papers)Robotics and Sensor-Based Localization (8 papers)
- Journals
- Information SciencesInternational Journal of Approximate ReasoningJournal of Field Robotics
- Partner nations
- France
In The Last Decade
Véronique Cherfaoui
27 papers receiving 308 citations
Peers
Comparison fields: 5 of 48
- Computer Vision and Pattern Recognition 145
- Automotive Engineering 111
- Aerospace Engineering 108
- Artificial Intelligence 94
- Electrical and Electronic Engineering 65
Countries citing papers authored by Véronique Cherfaoui
This map shows the geographic impact of Véronique Cherfaoui'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 Véronique Cherfaoui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Véronique Cherfaoui more than expected).
Fields of papers citing papers by Véronique Cherfaoui
This network shows the impact of papers produced by Véronique Cherfaoui. 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 Véronique Cherfaoui. The network helps show where Véronique Cherfaoui may publish in the future.
Co-authorship network of co-authors of Véronique Cherfaoui
This figure shows the co-authorship network connecting the top 25 collaborators of Véronique Cherfaoui. A scholar is included among the top collaborators of Véronique Cherfaoui 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 Véronique Cherfaoui. Véronique Cherfaoui is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 6 | |
| 6 | 20 | |
| 7 | 8 | |
| 8 | 12 | |
| 9 | 12 | |
| 10 | 22 | |
| 11 | Distributed data fusion: application to confidence management in vehicular networks | 9 |
| 12 | Detection and Recognition confidences update in a multi-sensor pedestrian tracking system | 3 |
| 13 | 32 | |
| 14 | 65 | |
| 15 | 4 | |
| 16 | 5 | |
| 17 | 9 | |
| 18 | 5 | |
| 19 | 28 | |
| 20 | 0 |
About Véronique Cherfaoui
Véronique Cherfaoui is a scholar working on Automotive Engineering, Signal Processing and Computer Vision and Pattern Recognition, having authored 29 papers that have together received 327 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (10 papers), Target Tracking and Data Fusion in Sensor Networks (8 papers) and Robotics and Sensor-Based Localization (8 papers). The work is most often cited by research in Automotive Engineering (111 citations), Computer Vision and Pattern Recognition (145 citations) and Aerospace Engineering (108 citations). Véronique Cherfaoui has collaborated with scholars based in France. Frequent co-authors include Philippe Bonnifait, Dominique Gruyer, Franck Davoine, Sergio Rodríguez, Vincent Frémont, Reine Talj, Franck Guillemard, François Aioun, Thierry Denœux and Julien Moras. Their work appears in journals such as Information Sciences, International Journal of Approximate Reasoning and Journal of Field Robotics.
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.