Peter Karsmakers
Impact in
- Signal Processing top 5%
- Speech and Audio Processing
- Music and Audio Processing
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- Context-Aware Activity Recognition Systems
- Music Technology and Sound Studies
Papers in ⓘ
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- Non-Invasive Vital Sign Monitoring 15
- Advanced Chemical Sensor Technologies 4
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- Speech and Audio Processing 13
- Music and Audio Processing 12
- Co-authors
- Bart Vanrumste (18 shared papers)Johan A. K. Suykens (9 shared papers)Dominique Schreurs (13 shared papers)Paul Leroux (11 shared papers)M. Mercuri (10 shared papers)Kristiaan Pelckmans (7 shared papers)Hugo Van hamme (12 shared papers)Ping Jack Soh (7 shared papers)
- Journals
- IEEE Journal of Biomedical and Health Informatics (2 papers)IEEE Access (2 papers)Machine Learning (2 papers)Journal of the Audio Engineering Society (2 papers)Artificial Intelligence in Medicine (1 paper)
- Partner nations
- BelgiumMalaysiaUnited Kingdom
In The Last Decade
Peter Karsmakers
52 papers receiving 883 citations
Peers
Comparison fields: 5 of 122
- Signal Processing 249
- Computer Vision and Pattern Recognition 216
- Computational Mathematics 4
- Biomedical Engineering 291
- Artificial Intelligence 199
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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | LS-SVMlab Toolbox User's Guide version 1.7 | 2010 | 145 |
| 2 | 2013 | 144 | |
| 3 | 2014 | 75 | |
| 4 | 2013 | 66 | |
| 5 | The SINS database for detection of daily activities in a home environment using an Acoustic Sensor Network | 2017 | 59 |
| 6 | 2013 | 52 | |
| 7 | 2007 | 41 | |
| 8 | 2012 | 34 | |
| 9 | Automatic in-door fall detection based on microwave radar measurements | 2012 | 32 |
| 10 | 2013 | 26 | |
| 11 | 2009 | 25 | |
| 12 | 2013 | 22 | |
| 13 | 2011 | 19 | |
| 14 | Automatic Monitoring of Activities of Daily Living based on Real-life Acoustic Sensor Data: a~preliminary study | 2013 | 17 |
| 15 | 2019 | 17 | |
| 16 | 2011 | 16 | |
| 17 | 2024 | 10 | |
| 18 | 2007 | 10 | |
| 19 | 2025 | 9 | |
| 20 | 2023 | 8 |
About Peter Karsmakers
Peter Karsmakers is a scholar working on Biomedical Engineering, Signal Processing, Computer Vision and Pattern Recognition, Artificial Intelligence and Surgery, having authored 59 papers that have together received 916 indexed citations. Recurring topics across this work include Non-Invasive Vital Sign Monitoring (15 papers), Speech and Audio Processing (13 papers), Music and Audio Processing (12 papers), Healthcare Technology and Patient Monitoring (9 papers), Anomaly Detection Techniques and Applications (8 papers), Context-Aware Activity Recognition Systems (8 papers), Music Technology and Sound Studies (6 papers) and Advanced Chemical Sensor Technologies (4 papers). The work is most often cited by research in Signal Processing (249 citations), Computer Vision and Pattern Recognition (216 citations), Computational Mathematics (4 citations), Biomedical Engineering (291 citations) and Artificial Intelligence (199 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, Paul Leroux, M. Mercuri, Kristiaan Pelckmans, Hugo Van hamme, Ping Jack Soh, Guy A. E. Vandenbosch and Kris De Brabanter. Their work appears in journals such as IEEE Journal of Biomedical and Health Informatics, IEEE Access, Machine Learning, Journal of the Audio Engineering Society and Artificial Intelligence in Medicine.
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.