Glen Debard

492 citations
29 papers · 383 · h-index 13

Impact in

Papers in

Glen Debard

28 papers receiving 367 citations

Peers

Glen Debard
Comparison fields: 5 of 58
  • Physical Therapy, Sports Therapy and Rehabilitation 58
  • Computer Vision and Pattern Recognition 268
  • Human-Computer Interaction 26
  • Biomedical Engineering 172
  • Applied Psychology 13
Replace Mohammad Ashfak Habib with:
Mohammad Ashfak Habib Bangladesh
Irvin Hussein López-Nava Mexico
Nicole A. Capela Canada
Lawrence K. Au United States
Nabil Alshurafa United States
Adel Rhuma United Kingdom
Prabhu Jude Rajendran United States
M. Ann Reinthal United States
Carlo Tacconi Italy
Steffen Ortmann Germany
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Citations per field
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Mohammad Ashfak Habib · 1×
Citations per year

Countries citing papers authored by Glen Debard

Since Specialization
Citations

This map shows the geographic impact of Glen Debard'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 Glen Debard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Glen Debard more than expected).

Fields of papers citing papers by Glen Debard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Glen Debard. 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 Glen Debard. The network helps show where Glen Debard may publish in the future.

Co-authors

The 25 scholars most cited alongside Glen Debard, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Glen Debard Line = papers co-authored together Glen Debard links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201251
2 201646
3 201636
4
How to detect human fall in video? An overview
200927
5 201324
6 200921
7 202020
8 202018
9 202118
10 201118
11 201618
12 201518
13 201713
14 201310
15 201610
16 20179
17 20167
18 20213
19
FallCam: Practical Considerations in Implementing a Camera-based Fall Detection System
20093
20 20123

About Glen Debard

Glen Debard is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering, Physical Therapy, Sports Therapy and Rehabilitation, Human-Computer Interaction and Artificial Intelligence, having authored 29 papers that have together received 383 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (17 papers), Balance, Gait, and Falls Prevention (9 papers), Gait Recognition and Analysis (8 papers), Human Pose and Action Recognition (5 papers), Non-Invasive Vital Sign Monitoring (5 papers), Virtual Reality Applications and Impacts (4 papers), Video Surveillance and Tracking Methods (4 papers) and Anomaly Detection Techniques and Applications (3 papers). The work is most often cited by research in Physical Therapy, Sports Therapy and Rehabilitation (58 citations), Computer Vision and Pattern Recognition (268 citations), Human-Computer Interaction (26 citations), Biomedical Engineering (172 citations) and Applied Psychology (13 citations). Glen Debard has collaborated with scholars based in Belgium, United States and Netherlands. Frequent co-authors include Bart Vanrumste, Toon Goedemé, Tom Croonenborghs, Tinne Tuytelaars, Koen Milisen, Mieke Deschodt, Ellen Vlaeyen, Eddy Dejaeger, Bert Bonroy and Marc Mertens. Their work appears in journals such as Sensors, IEEE Transactions on Image Processing, Behaviour Research and Therapy, Psychopharmacology and BMC Geriatrics.

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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