Patrick Maechler
Impact in
- Signal Processing top 10%
- Blind Source Separation Techniques
- Computational Mechanics top 5%
- Sparse and Compressive Sensing Techniques
Papers in
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- Blind Source Separation Techniques 6
-
- Sparse and Compressive Sensing Techniques 9
- Co-authors
- Hubert Kaeslin (6 shared papers)Andreas Peter Burg (8 shared papers)Norbert Felber (5 shared papers)Lin Bai (1 shared paper)N. Felber (4 shared papers)Arian Maleki (1 shared paper)Richard G. Baraniuk (1 shared paper)Christoph Studer (3 shared papers)
- Journals
- IEEE Journal on Emerging and Selected Topics in Circuits and Systems (1 paper)International Journal of Cardiology (1 paper)Cardiology Journal (1 paper)Zenodo (CERN European Organization for Nuclear Research) (1 paper)Infoscience (Ecole Polytechnique Fédérale de Lausanne) (2 papers)
- Partner nations
- SwitzerlandUnited StatesSpain
In The Last Decade
Patrick Maechler
12 papers receiving 294 citations
Peers
Comparison fields: 5 of 47
- Signal Processing 92
- Computational Mechanics 161
- Acoustics and Ultrasonics 6
- Electrical and Electronic Engineering 138
- Biomedical Engineering 104
Countries citing papers authored by Patrick Maechler
This map shows the geographic impact of Patrick Maechler'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 Patrick Maechler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Maechler more than expected).
Fields of papers citing papers by Patrick Maechler
This network shows the impact of papers produced by Patrick Maechler. 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 Patrick Maechler. The network helps show where Patrick Maechler may publish in the future.
Co-authors
The 13 scholars most cited alongside Patrick Maechler, 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 | 2012 | 78 | |
| 2 | 2012 | 60 | |
| 3 | 2014 | 39 | |
| 4 | 2010 | 28 | |
| 5 | 2010 | 24 | |
| 6 | 2018 | 19 | |
| 7 | 2018 | 15 | |
| 8 | Compressive sensing for WiFi-based passive bistatic radar | 2012 | 14 |
| 9 | 2009 | 14 | |
| 10 | 2011 | 8 | |
| 11 | Sparsity-based real-time audio restoration | 2012 | 2 |
| 12 | 2012 | 2 | |
| 13 | 2013 | 1 |
About Patrick Maechler
Patrick Maechler is a scholar working on Signal Processing, Computational Mechanics, Computer Vision and Pattern Recognition, Biomedical Engineering and Cardiology and Cardiovascular Medicine, having authored 13 papers that have together received 304 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (9 papers), Blind Source Separation Techniques (6 papers), Image and Signal Denoising Methods (3 papers), Microwave Imaging and Scattering Analysis (2 papers), Cardiac electrophysiology and arrhythmias (2 papers), Indoor and Outdoor Localization Technologies (2 papers), Electrical and Bioimpedance Tomography (1 paper) and Energy Harvesting in Wireless Networks (1 paper). The work is most often cited by research in Signal Processing (92 citations), Computational Mechanics (161 citations), Acoustics and Ultrasonics (6 citations), Electrical and Electronic Engineering (138 citations) and Biomedical Engineering (104 citations). Patrick Maechler has collaborated with scholars based in Switzerland, United States and Spain. Frequent co-authors include Hubert Kaeslin, Andreas Peter Burg, Norbert Felber, Lin Bai, N. Felber, Arian Maleki, Richard G. Baraniuk, Christoph Studer, Sebastian Steiner and M. Wenk. Their work appears in journals such as IEEE Journal on Emerging and Selected Topics in Circuits and Systems, International Journal of Cardiology, Cardiology Journal, Zenodo (CERN European Organization for Nuclear Research) and Infoscience (Ecole Polytechnique Fédérale de Lausanne).
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.