Francis Deboeverie

428 total citations
25 papers, 215 citations indexed

About

Francis Deboeverie is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Transportation. According to data from OpenAlex, Francis Deboeverie has authored 25 papers receiving a total of 215 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 5 papers in Aerospace Engineering and 3 papers in Transportation. Recurrent topics in Francis Deboeverie's work include Video Surveillance and Tracking Methods (12 papers), Context-Aware Activity Recognition Systems (8 papers) and Advanced Vision and Imaging (5 papers). Francis Deboeverie is often cited by papers focused on Video Surveillance and Tracking Methods (12 papers), Context-Aware Activity Recognition Systems (8 papers) and Advanced Vision and Imaging (5 papers). Francis Deboeverie collaborates with scholars based in Belgium, United States and Spain. Francis Deboeverie's co-authors include Wilfried Philips, Peter Veelaert, Hamid Aghajan, Heidi Steendam, Hamid Aghajan, Xingzhe Xie, Samuel Van de Velde, Richard Kleihorst, Bert Geelen and José R. Casar and has published in prestigious journals such as Sensors, Journal of Ambient Intelligence and Humanized Computing and Journal of Electronic Imaging.

In The Last Decade

Francis Deboeverie

24 papers receiving 206 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Francis Deboeverie Belgium 8 168 49 40 35 22 25 215
Ni Zhu United Kingdom 5 106 0.6× 63 1.3× 14 0.3× 119 3.4× 27 1.2× 6 252
Yalew Zelalem Jembre South Korea 8 159 0.9× 78 1.6× 33 0.8× 110 3.1× 46 2.1× 20 334
Ryosuke Ichikari Japan 8 142 0.8× 32 0.7× 23 0.6× 6 0.2× 20 0.9× 35 221
Yi-Ping Hung Taiwan 8 217 1.3× 27 0.6× 44 1.1× 7 0.2× 21 1.0× 14 266
J. Black United Kingdom 6 290 1.7× 40 0.8× 57 1.4× 9 0.3× 67 3.0× 8 330
D. Thirde United Kingdom 8 208 1.2× 23 0.5× 31 0.8× 12 0.3× 70 3.2× 15 242
Jinsoo Choi South Korea 7 134 0.8× 28 0.6× 16 0.4× 9 0.3× 25 1.1× 23 172
Boyu Wang United States 9 79 0.5× 14 0.3× 19 0.5× 20 0.6× 40 1.8× 24 235
Robert Hanek Germany 8 119 0.7× 30 0.6× 80 2.0× 18 0.5× 70 3.2× 12 193
Andrew J. Davison United Kingdom 6 127 0.8× 18 0.4× 129 3.2× 15 0.4× 20 0.9× 13 221

Countries citing papers authored by Francis Deboeverie

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Deboeverie, Francis, et al.. (2017). Occlusion handling framework for tracking in smart camera networks by per-target assistance task assignment. Journal of Electronic Imaging. 26(5). 51407–51407. 1 indexed citations
2.
Deboeverie, Francis, et al.. (2017). Discovering activity patterns in office environment using a network of low-resolution visual sensors. Journal of Ambient Intelligence and Humanized Computing. 9(2). 381–411. 8 indexed citations
3.
Allouch, Somaya Ben, et al.. (2016). Lessons learned from SONOPA (SOcial Networks for Older adults to Promote an Active life). Gerontechnology. 15(suppl). 1 indexed citations
4.
Deboeverie, Francis, et al.. (2016). Multiple People Tracking in Smart Camera Networks by Greedy Joint-Likelihood Maximization. 602–609. 1 indexed citations
5.
Deboeverie, Francis, et al.. (2016). Extrinsic Calibration of Camera Networks Based on Pedestrians. Sensors. 16(5). 654–654. 16 indexed citations
6.
Deboeverie, Francis, et al.. (2016). Human gesture classification by brute-force machine learning for exergaming in physiotherapy. Ghent University Academic Bibliography (Ghent University). 1–7. 21 indexed citations
7.
Deboeverie, Francis, et al.. (2015). Edge-based foreground detection with higher order derivative Local Binary Patterns for low-resolution video processing. Ghent University Academic Bibliography (Ghent University). 1. 339–346.
8.
Li, Juan, Bart Goossens, Francis Deboeverie, et al.. (2015). A new 360-degree immersive game controller. Ghent University Academic Bibliography (Ghent University). 201–202. 1 indexed citations
9.
Deboeverie, Francis, Ana M. Bernardos, Juan A. Besada, et al.. (2015). A hybrid pose tracking approach for handheld augmented reality. Ghent University Academic Bibliography (Ghent University). 7–12. 9 indexed citations
10.
Deboeverie, Francis, et al.. (2015). Real-time multi-people tracking by greedy likelihood maximization. Ghent University Academic Bibliography (Ghent University). 32–37. 5 indexed citations
11.
Deboeverie, Francis, et al.. (2015). Detection of visitors in elderly care using a low-resolution visual sensor network. Ghent University Academic Bibliography (Ghent University). 56–61. 7 indexed citations
12.
Deboeverie, Francis, et al.. (2015). Edge based Foreground Background Estimation with Interior/Exterior Classification. 369–376. 7 indexed citations
13.
Deboeverie, Francis, et al.. (2014). Behavior Analysis for Aging-in-Place using Similarity Heatmaps. Ghent University Academic Bibliography (Ghent University). 1–6. 6 indexed citations
14.
Deboeverie, Francis, et al.. (2014). A low resolution multi-camera system for person tracking. v. 378–382. 15 indexed citations
15.
Deboeverie, Francis, et al.. (2014). A low-cost visual sensor network for elderly care. SPIE Newsroom. 3 indexed citations
16.
Deboeverie, Francis, Xingzhe Xie, Samuel Van de Velde, et al.. (2014). Human Mobility Monitoring in Very Low Resolution Visual Sensor Network. Sensors. 14(11). 20800–20824. 19 indexed citations
17.
Xie, Xingzhe, et al.. (2014). PhD Forum. 1–2. 5 indexed citations
18.
Deboeverie, Francis, Peter Veelaert, & Wilfried Philips. (2013). Image segmentation with adaptive region growing based on a polynomial surface model. Journal of Electronic Imaging. 22(4). 43004–43004. 6 indexed citations
19.
Deboeverie, Francis, Peter Veelaert, & Wilfried Philips. (2012). Best view selection with geometric feature based face recognition. 1461–1464. 1 indexed citations
20.
Geelen, Bert, Francis Deboeverie, & Peter Veelaert. (2009). Implementation of Canny edge detection on the WiCa SmartCam architecture. Ghent University Academic Bibliography (Ghent University). 1–8. 4 indexed citations

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.

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