Ralf Peeters
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- ECG Monitoring and Analysis 24
- Cardiac electrophysiology and arrhythmias 19
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- Control Systems and Identification 20
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- Model Reduction and Neural Networks 15
- Numerical Analysis top 10%
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- Image and Signal Denoising Methods 12
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- Advanced MRI Techniques and Applications 8
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- Domain Adaptation and Few-Shot Learning 7
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- Non-Invasive Vital Sign Monitoring 7
Ralf Peeters
108 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 132
- Cardiology and Cardiovascular Medicine 372
- Control and Systems Engineering 259
- Statistical and Nonlinear Physics 115
- Numerical Analysis 38
- Computational Mathematics 4
Countries citing papers authored by Ralf Peeters
This map shows the geographic impact of Ralf Peeters'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 Ralf Peeters with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ralf Peeters more than expected).
Fields of papers citing papers by Ralf Peeters
This network shows the impact of papers produced by Ralf Peeters. 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 Ralf Peeters. The network helps show where Ralf Peeters may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ralf Peeters, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 10 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 0 | |
| 6 | 2020 | 5 | |
| 7 | 2020 | 4 | |
| 8 | 2020 | 4 | |
| 9 | 2019 | 18 | |
| 10 | 2019 | 1 | |
| 11 | 2019 | 1 | |
| 12 | Largest Source Subset Selection for Instance Transfer | 2015 | 4 |
| 13 | Physiology-based regularization improves noninvasive reconstruction and localization of cardiac electrical activity | 2014 | 5 |
| 14 | Inverse reconstruction of epicardial potentials improved by vectorcardiography and realistic potentials | 2013 | 1 |
| 15 | 2012 | 1 | |
| 16 | Towards unobtrusive in vivo monitoring of patients prone to falling | 2010 | 4 |
| 17 | 1996 | 51 | |
| 18 | Application of the Riemannian Levenberg-Marquardt algorithm to off- line system identification | 1993 | 1 |
| 19 | On a Riemannian version of the Levenberg-Marquardt algorithm | 1993 | 1 |
| 20 | The Riemannian interpretation of Gauss-Newton and Scoring, with application to system identification | 1992 | 2 |
About Ralf Peeters
Ralf Peeters is a scholar working on Computational Mathematics, Cardiology and Cardiovascular Medicine, Numerical Analysis, Statistical and Nonlinear Physics and Statistics, Probability and Uncertainty, having authored 118 papers that have together received 1.2k indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (24 papers), Control Systems and Identification (20 papers), Cardiac electrophysiology and arrhythmias (19 papers), Model Reduction and Neural Networks (15 papers), Image and Signal Denoising Methods (12 papers), Advanced MRI Techniques and Applications (8 papers), Domain Adaptation and Few-Shot Learning (7 papers) and Non-Invasive Vital Sign Monitoring (7 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (372 citations), Control and Systems Engineering (259 citations), Statistical and Nonlinear Physics (115 citations), Numerical Analysis (38 citations) and Computational Mathematics (4 citations). Ralf Peeters has collaborated with scholars based in Netherlands, France and Belgium. Frequent co-authors include Joël Karel, Bernard Hanzon, Ronald Westra, Pietro Bonizzi, Paul G.A. Volders, Matthijs Cluitmans, Olivier Meste, Wouter A. Serdijn, Theo M. de Kok and Gökhan Ertaylan. Their work appears in journals such as PLoS ONE, Neurocomputing, Linear Algebra and its Applications, Scientific Reports and Automatica.
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.