Matthieu Kowalski
- Computational Mechanics top 5%
- Signal Processing top 2%
- Cognitive Neuroscience top 10%
- Computer Vision and Pattern Recognition top 5%
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Alexandre GramfortMatti HämäläinenBruno TorrésaniJens HaueisenDaniel StrohmeierKai SiedenburgMonika DörflerHau‐Tieng Wu
- Topics
- Blind Source Separation Techniques (10 papers)Image and Signal Denoising Methods (9 papers)Sparse and Compressive Sensing Techniques (9 papers)
- Partner nations
- FranceCanadaUnited States
In The Last Decade
Matthieu Kowalski
23 papers receiving 790 citations
Peers
Comparison fields: 5 of 80
- Computational Mechanics 318
- Signal Processing 315
- Cognitive Neuroscience 216
- Computer Vision and Pattern Recognition 205
- Radiology, Nuclear Medicine and Imaging 107
Countries citing papers authored by Matthieu Kowalski
This map shows the geographic impact of Matthieu Kowalski'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 Matthieu Kowalski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthieu Kowalski more than expected).
Fields of papers citing papers by Matthieu Kowalski
This network shows the impact of papers produced by Matthieu Kowalski. 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 Matthieu Kowalski. The network helps show where Matthieu Kowalski may publish in the future.
Co-authorship network of co-authors of Matthieu Kowalski
This figure shows the co-authorship network connecting the top 25 collaborators of Matthieu Kowalski. A scholar is included among the top collaborators of Matthieu Kowalski based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matthieu Kowalski. Matthieu Kowalski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 29 | |
| 4 | 5 | |
| 5 | 7 | |
| 6 | 14 | |
| 7 | 35 | |
| 8 | Analytical Model and Spectral Correction of Vibration Effects on PFS Fourier Transform Spectrometer | 0 |
| 9 | 21 | |
| 10 | 1 | |
| 11 | 161 | |
| 12 | 47 | |
| 13 | 132 | |
| 14 | 33 | |
| 15 | 29 | |
| 16 | 172 | |
| 17 | Improving M/EEG source localization with an inter-condition sparse prior | 1 |
| 18 | Refrigeration cycle design by molecular simulation. | 2 |
| 19 | 10 | |
| 20 | 1 |
About Matthieu Kowalski
Matthieu Kowalski is a scholar working on Signal Processing, Computational Mechanics and Computer Vision and Pattern Recognition, having authored 26 papers that have together received 817 indexed citations. Recurring topics across this work include Blind Source Separation Techniques (10 papers), Image and Signal Denoising Methods (9 papers) and Sparse and Compressive Sensing Techniques (9 papers). The work is most often cited by research in Signal Processing (315 citations), Computational Mechanics (318 citations) and Cognitive Neuroscience (216 citations). Matthieu Kowalski has collaborated with scholars based in France, Canada and United States. Frequent co-authors include Alexandre Gramfort, Matti Hämäläinen, Bruno Torrésani, Jens Haueisen, Daniel Strohmeier, Kai Siedenburg, Monika Dörfler, Hau‐Tieng Wu, Rémi Gribonval and Emmanuel Vincent. Their work appears in journals such as NeuroImage, IEEE Transactions on Signal Processing and Physics in Medicine and Biology.
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.