Grégoire Lefebvre
- Computer Vision and Pattern Recognition
- Artificial Intelligence
- Cognitive Neuroscience
- Experimental and Cognitive Psychology
- Computer Networks and Communications
- Co-authors
- Christophe GarcíaStefan DuffnerJames L. CrowleyAlaeddine MihoubHuicheng ZhengCamille LaurentFano RamparanyNorbert Noury
- Topics
- Context-Aware Activity Recognition Systems (4 papers)Emotion and Mood Recognition (2 papers)Indoor and Outdoor Localization Technologies (2 papers)
- Cited by
- Computer Vision and Pattern RecognitionExperimental and Cognitive PsychologySignal Processing
In The Last Decade
Grégoire Lefebvre
13 papers receiving 81 citations
Peers
Comparison fields: 5 of 51
- Computer Vision and Pattern Recognition 38
- Artificial Intelligence 24
- Cognitive Neuroscience 15
- Experimental and Cognitive Psychology 13
- Computer Networks and Communications 10
Countries citing papers authored by Grégoire Lefebvre
This map shows the geographic impact of Grégoire Lefebvre'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 Grégoire Lefebvre with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Grégoire Lefebvre more than expected).
Fields of papers citing papers by Grégoire Lefebvre
This network shows the impact of papers produced by Grégoire Lefebvre. 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 Grégoire Lefebvre. The network helps show where Grégoire Lefebvre may publish in the future.
Co-authorship network of co-authors of Grégoire Lefebvre
This figure shows the co-authorship network connecting the top 25 collaborators of Grégoire Lefebvre. A scholar is included among the top collaborators of Grégoire Lefebvre 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 Grégoire Lefebvre. Grégoire Lefebvre 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 | 18 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 6 | |
| 6 | 2 | |
| 7 | 8 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 25 | |
| 11 | Evolution of Activities of Daily Living using Inertia Measurements: The Lunch and Dinner Activities | 2 |
| 12 | 10 | |
| 13 | 7 |
About Grégoire Lefebvre
Grégoire Lefebvre is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing, having authored 13 papers that have together received 87 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (4 papers), Emotion and Mood Recognition (2 papers) and Indoor and Outdoor Localization Technologies (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (38 citations), Experimental and Cognitive Psychology (13 citations) and Signal Processing (10 citations). Grégoire Lefebvre has collaborated with scholars based in France and China. Frequent co-authors include Christophe García, Stefan Duffner, James L. Crowley, Alaeddine Mihoub, Huicheng Zheng, Camille Laurent, Fano Ramparany, James L. Crowley, Norbert Noury and Christophe Cérin. Their work appears in journals such as Neurocomputing, Artificial Intelligence in Medicine and ACM Transactions on Interactive Intelligent 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.