François Brémond
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 5%
- Biomedical Engineering
- Computer Networks and Communications top 10%
- Signal Processing top 10%
- Co-authors
- Monique ThonnatBenoit LagadecHao ChenSerhan CoşarVânia BogornyLuís Otávio ÁlvaresMohamed KaânicheEtienne Corvée
- Topics
- Human Pose and Action Recognition (18 papers)Video Surveillance and Tracking Methods (14 papers)Context-Aware Activity Recognition Systems (9 papers)
- Partner nations
- FranceUnited KingdomUnited States
In The Last Decade
François Brémond
32 papers receiving 824 citations
Peers
Comparison fields: 5 of 94
- Computer Vision and Pattern Recognition 676
- Artificial Intelligence 278
- Biomedical Engineering 206
- Computer Networks and Communications 107
- Signal Processing 58
Countries citing papers authored by François Brémond
This map shows the geographic impact of François Brémond'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 Brémond with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites François Brémond more than expected).
Fields of papers citing papers by François Brémond
This network shows the impact of papers produced by François Brémond. 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 Brémond. The network helps show where François Brémond may publish in the future.
Co-authorship network of co-authors of François Brémond
This figure shows the co-authorship network connecting the top 25 collaborators of François Brémond. A scholar is included among the top collaborators of François Brémond 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 Brémond. François Brémond is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 10 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 24 | |
| 6 | 3 | |
| 7 | 189 | |
| 8 | 17 | |
| 9 | 134 | |
| 10 | 10 | |
| 11 | 29 | |
| 12 | 60 | |
| 13 | 60 | |
| 14 | Video Activity Recognition Framework for assessing motor behavioural disorders in Alzheimer Disease Patients | 1 |
| 15 | Surveillance video retrieval: what we have already done? | 5 |
| 16 | 34 | |
| 17 | 23 | |
| 18 | 29 | |
| 19 | Multi-sensors Analysis for Everyday Activity Monitoring | 7 |
| 20 | Human Behaviour Visualisation and Simulation for Automatic Video Understanding. | 8 |
About François Brémond
François Brémond is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Signal Processing, having authored 33 papers that have together received 856 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (18 papers), Video Surveillance and Tracking Methods (14 papers) and Context-Aware Activity Recognition Systems (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (676 citations), Human-Computer Interaction (53 citations) and Artificial Intelligence (278 citations). François Brémond has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Monique Thonnat, Benoit Lagadec, Hao Chen, Serhan Coşar, Vânia Bogorny, Luís Otávio Álvares, Mohamed Kaâniche, Etienne Corvée, Bernard Boulay and Susanne Thümmler. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Sensors and Pattern Recognition.
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.