Jan Luts
Impact in
- Neurology top 10%
- Brain Tumor Detection and Classification
- Biophysics top 5%
- Spectroscopy Techniques in Biomedical and Chemical Research
Papers in ⓘ
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- Advanced MRI Techniques and Applications 7
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- Gene expression and cancer classification 4
- Co-authors
- Sabine Van Huffel (16 shared papers)Johan A. K. Suykens (8 shared papers)Fabian Ojeda (1 shared paper)Bart De Moor (1 shared paper)Raf Van de Plas (1 shared paper)Arend Heerschap (4 shared papers)Geert Postma (2 shared papers)L.M.C. Buydens (2 shared papers)
- Journals
- NMR in Biomedicine (2 papers)Computational Statistics & Data Analysis (2 papers)Artificial Intelligence in Medicine (1 paper)Molecular Oncology (1 paper)The Knowledge Engineering Review (1 paper)
- Partner nations
- BelgiumNetherlandsSpain
In The Last Decade
Jan Luts
19 papers receiving 780 citations
Peers
Comparison fields: 5 of 124
- Neurology 95
- Biophysics 63
- Analytical Chemistry 106
- Cancer Research 101
- Radiology, Nuclear Medicine and Imaging 140
Countries citing papers authored by Jan Luts
This map shows the geographic impact of Jan Luts'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 Jan Luts with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Luts more than expected).
Fields of papers citing papers by Jan Luts
This network shows the impact of papers produced by Jan Luts. 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 Jan Luts. The network helps show where Jan Luts may publish in the future.
Co-authors
The 25 scholars most cited alongside Jan Luts, 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 | 2010 | 248 | |
| 2 | 2010 | 242 | |
| 3 | 2007 | 71 | |
| 4 | 2008 | 47 | |
| 5 | 2011 | 39 | |
| 6 | 2008 | 32 | |
| 7 | 2011 | 25 | |
| 8 | 2010 | 23 | |
| 9 | 2008 | 22 | |
| 10 | 2012 | 12 | |
| 11 | 2013 | 10 | |
| 12 | 2011 | 9 | |
| 13 | 2011 | 8 | |
| 14 | 2009 | 7 | |
| 15 | 2014 | 6 | |
| 16 | 2018 | 6 | |
| 17 | 2011 | 4 | |
| 18 | Comparing methods for multi-class probabilities in medical decision making using LS-SVMs and kernel logistic regression | 2007 | 1 |
| 19 | Classification of Brain Tumors Based on Magnetic Resonance Spectroscopy (Classificatie van hersentumoren op basis van magnetische resonantie spectroscopie) | 2010 | 1 |
| 20 | Differentation between brain metastasis and glioblastoma using MRI and two-dimensional Turbo spectroscopic imaging data | 2009 | 0 |
About Jan Luts
Jan Luts is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Artificial Intelligence, Computer Vision and Pattern Recognition and Neurology, having authored 20 papers that have together received 813 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (7 papers), Brain Tumor Detection and Classification (4 papers), Gene expression and cancer classification (4 papers), Statistical Methods and Inference (3 papers), Face and Expression Recognition (2 papers), Spectroscopy and Chemometric Analyses (2 papers), Gaussian Processes and Bayesian Inference (2 papers) and Medical Image Segmentation Techniques (2 papers). The work is most often cited by research in Neurology (95 citations), Biophysics (63 citations), Analytical Chemistry (106 citations), Cancer Research (101 citations) and Radiology, Nuclear Medicine and Imaging (140 citations). Jan Luts has collaborated with scholars based in Belgium, Netherlands and Spain. Frequent co-authors include Sabine Van Huffel, Johan A. K. Suykens, Fabian Ojeda, Bart De Moor, Raf Van de Plas, Arend Heerschap, Geert Postma, L.M.C. Buydens, Riet Hilhorst and Edda Klipp. Their work appears in journals such as NMR in Biomedicine, Computational Statistics & Data Analysis, Artificial Intelligence in Medicine, Molecular Oncology and The Knowledge Engineering Review.
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.