Ph. Lemmerling
Impact in
- Applied Mathematics top 5%
- Statistical and numerical algorithms
-
- Optical Imaging and Spectroscopy Techniques
- MRI in cancer diagnosis
Papers in
-
- Statistical and numerical algorithms 9
-
- Image and Signal Denoising Methods 6
- Co-authors
- Sabine Van Huffel (19 shared papers)Bart De Moor (3 shared papers)Geert Morren (4 shared papers)Lieven De Lathauwer (2 shared papers)Wim Van Paesschen (3 shared papers)Wim De Clercq (3 shared papers)Michael W. Wolf (1 shared paper)Jee Hyun Choi (1 shared paper)
- Journals
- Numerical Linear Algebra with Applications (4 papers)The Lancet (2 papers)IEEE Transactions on Signal Processing (1 paper)Magnetic Resonance in Medicine (1 paper)Linear Algebra and its Applications (1 paper)
- Partner nations
- BelgiumUnited StatesItaly
In The Last Decade
Ph. Lemmerling
21 papers receiving 362 citations
Peers
Comparison fields: 5 of 71
- Applied Mathematics 83
- Radiology, Nuclear Medicine and Imaging 123
- Cognitive Neuroscience 111
- Signal Processing 59
- Computational Mathematics 3
Countries citing papers authored by Ph. Lemmerling
This map shows the geographic impact of Ph. Lemmerling'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 Ph. Lemmerling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ph. Lemmerling more than expected).
Fields of papers citing papers by Ph. Lemmerling
This network shows the impact of papers produced by Ph. Lemmerling. 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 Ph. Lemmerling. The network helps show where Ph. Lemmerling may publish in the future.
Co-authors
The 25 scholars most cited alongside Ph. Lemmerling, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 111 | |
| 2 | 2004 | 48 | |
| 3 | 2003 | 29 | |
| 4 | 1996 | 27 | |
| 5 | 1996 | 24 | |
| 6 | 2004 | 19 | |
| 7 | 2003 | 18 | |
| 8 | 2005 | 18 | |
| 9 | 2002 | 16 | |
| 10 | 2002 | 13 | |
| 11 | 2004 | 13 | |
| 12 | 2004 | 11 | |
| 13 | 2005 | 10 | |
| 14 | 2004 | 9 | |
| 15 | 2005 | 8 | |
| 16 | 2005 | 7 | |
| 17 | 2006 | 4 | |
| 18 | 1995 | 2 | |
| 19 | 2005 | 2 | |
| 20 | 2002 | 1 |
About Ph. Lemmerling
Ph. Lemmerling is a scholar working on Applied Mathematics, Computer Vision and Pattern Recognition, Control and Systems Engineering, Signal Processing and Cognitive Neuroscience, having authored 21 papers that have together received 391 indexed citations. Recurring topics across this work include Statistical and numerical algorithms (9 papers), Image and Signal Denoising Methods (6 papers), Control Systems and Identification (3 papers), EEG and Brain-Computer Interfaces (2 papers), Non-Invasive Vital Sign Monitoring (2 papers), Energy Load and Power Forecasting (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Epilepsy research and treatment (2 papers). The work is most often cited by research in Applied Mathematics (83 citations), Radiology, Nuclear Medicine and Imaging (123 citations), Cognitive Neuroscience (111 citations), Signal Processing (59 citations) and Computational Mathematics (3 citations). Ph. Lemmerling has collaborated with scholars based in Belgium, United States and Italy. Frequent co-authors include Sabine Van Huffel, Bart De Moor, Geert Morren, Lieven De Lathauwer, Wim Van Paesschen, Wim De Clercq, Michael W. Wolf, Jee Hyun Choi, Ursula Wolf and Enrico Gratton. Their work appears in journals such as Numerical Linear Algebra with Applications, The Lancet, IEEE Transactions on Signal Processing, Magnetic Resonance in Medicine and Linear Algebra and its Applications.
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.