Peter Karsmakers
Impact in
- Signal Processing top 5%
- Speech and Audio Processing
- Music and Audio Processing
-
- Context-Aware Activity Recognition Systems
Papers in
-
- Non-Invasive Vital Sign Monitoring 16
- Gait Recognition and Analysis 6
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- Context-Aware Activity Recognition Systems 11
- Music Technology and Sound Studies 6
- Co-authors
- Bart Vanrumste (23 shared papers)Johan A. K. Suykens (9 shared papers)Dominique Schreurs (14 shared papers)Kristiaan Pelckmans (7 shared papers)M. Mercuri (11 shared papers)Paul Leroux (12 shared papers)Hugo Van hamme (14 shared papers)Ping Jack Soh (8 shared papers)
- Journals
- IEEE Access (2 papers)Journal of the Audio Engineering Society (2 papers)Machine Learning (2 papers)IEEE Journal of Biomedical and Health Informatics (2 papers)Information Fusion (1 paper)
- Partner nations
- BelgiumMalaysiaUnited Kingdom
In The Last Decade
Peter Karsmakers
59 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 120
- Signal Processing 268
- Computer Vision and Pattern Recognition 311
- Biomedical Engineering 345
- Artificial Intelligence 244
- Computational Mathematics 4
Countries citing papers authored by Peter Karsmakers
This map shows the geographic impact of Peter Karsmakers'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 Peter Karsmakers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Karsmakers more than expected).
Fields of papers citing papers by Peter Karsmakers
This network shows the impact of papers produced by Peter Karsmakers. 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 Peter Karsmakers. The network helps show where Peter Karsmakers may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Karsmakers, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 151 | |
| 2 | LS-SVMlab Toolbox User's Guide version 1.7 | 2010 | 150 |
| 3 | 2014 | 79 | |
| 4 | 2013 | 68 | |
| 5 | The SINS database for detection of daily activities in a home environment using an Acoustic Sensor Network | 2017 | 64 |
| 6 | 2013 | 56 | |
| 7 | 2012 | 51 | |
| 8 | 2007 | 45 | |
| 9 | 2012 | 34 | |
| 10 | Automatic in-door fall detection based on microwave radar measurements | 2012 | 34 |
| 11 | 2013 | 29 | |
| 12 | 2009 | 27 | |
| 13 | 2013 | 26 | |
| 14 | Automatic Monitoring of Activities of Daily Living based on Real-life Acoustic Sensor Data: a~preliminary study | 2013 | 23 |
| 15 | 2011 | 21 | |
| 16 | 2025 | 20 | |
| 17 | 2011 | 18 | |
| 18 | 2019 | 18 | |
| 19 | 2011 | 17 | |
| 20 | 2024 | 10 |
About Peter Karsmakers
Peter Karsmakers is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence and Surgery, having authored 68 papers that have together received 1.1k indexed citations. Recurring topics across this work include Non-Invasive Vital Sign Monitoring (16 papers), Speech and Audio Processing (14 papers), Music and Audio Processing (12 papers), Context-Aware Activity Recognition Systems (11 papers), Anomaly Detection Techniques and Applications (9 papers), Healthcare Technology and Patient Monitoring (9 papers), Music Technology and Sound Studies (6 papers) and Gait Recognition and Analysis (6 papers). The work is most often cited by research in Signal Processing (268 citations), Computer Vision and Pattern Recognition (311 citations), Biomedical Engineering (345 citations), Artificial Intelligence (244 citations) and Computational Mathematics (4 citations). Peter Karsmakers has collaborated with scholars based in Belgium, Malaysia and United Kingdom. Frequent co-authors include Bart Vanrumste, Johan A. K. Suykens, Dominique Schreurs, Kristiaan Pelckmans, M. Mercuri, Paul Leroux, Hugo Van hamme, Ping Jack Soh, Guy A. E. Vandenbosch and Kris De Brabanter. Their work appears in journals such as IEEE Access, Journal of the Audio Engineering Society, Machine Learning, IEEE Journal of Biomedical and Health Informatics and Information Fusion.
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.