Francis Deboeverie
- Computer Vision and Pattern Recognition top 5%
- Electrical and Electronic Engineering
- Aerospace Engineering
- Computer Networks and Communications
- Artificial Intelligence
- Co-authors
- Wilfried PhilipsPeter VeelaertHamid AghajanHeidi SteendamXingzhe XieSamuel Van de VeldeRichard KleihorstAna M. Bernardos
- Topics
- Video Surveillance and Tracking Methods (12 papers)Context-Aware Activity Recognition Systems (8 papers)Advanced Vision and Imaging (5 papers)
- Journals
- SensorsJournal of Ambient Intelligence and Humanized ComputingJournal of Electronic Imaging
- Partner nations
- BelgiumUnited StatesSpain
In The Last Decade
Francis Deboeverie
24 papers receiving 206 citations
Peers
Comparison fields: 5 of 50
- Computer Vision and Pattern Recognition 168
- Electrical and Electronic Engineering 49
- Aerospace Engineering 40
- Computer Networks and Communications 35
- Artificial Intelligence 22
Countries citing papers authored by Francis Deboeverie
This map shows the geographic impact of Francis Deboeverie'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 Francis Deboeverie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francis Deboeverie more than expected).
Fields of papers citing papers by Francis Deboeverie
This network shows the impact of papers produced by Francis Deboeverie. 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 Francis Deboeverie. The network helps show where Francis Deboeverie may publish in the future.
Co-authorship network of co-authors of Francis Deboeverie
This figure shows the co-authorship network connecting the top 25 collaborators of Francis Deboeverie. A scholar is included among the top collaborators of Francis Deboeverie 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 Francis Deboeverie. Francis Deboeverie 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 | 8 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 21 | |
| 6 | 7 | |
| 7 | 16 | |
| 8 | Edge-based foreground detection with higher order derivative Local Binary Patterns for low-resolution video processing | 0 |
| 9 | 1 | |
| 10 | 5 | |
| 11 | 7 | |
| 12 | 9 | |
| 13 | 7 | |
| 14 | 15 | |
| 15 | 6 | |
| 16 | 5 | |
| 17 | 3 | |
| 18 | 19 | |
| 19 | 6 | |
| 20 | 4 |
About Francis Deboeverie
Francis Deboeverie is a scholar working on Computer Vision and Pattern Recognition, Transportation and Human-Computer Interaction, having authored 25 papers that have together received 215 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (12 papers), Context-Aware Activity Recognition Systems (8 papers) and Advanced Vision and Imaging (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (168 citations), Human-Computer Interaction (19 citations) and Transportation (14 citations). Francis Deboeverie has collaborated with scholars based in Belgium, United States and Spain. Frequent co-authors include Wilfried Philips, Peter Veelaert, Hamid Aghajan, Heidi Steendam, Xingzhe Xie, Hamid Aghajan, Samuel Van de Velde, Richard Kleihorst, Ana M. Bernardos and Adrian Munteanu. Their work appears in journals such as Sensors, Journal of Ambient Intelligence and Humanized Computing and Journal of Electronic Imaging.
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.