K. Stadlthanner
Impact in
- Signal Processing top 5%
- Blind Source Separation Techniques
Papers in
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- Blind Source Separation Techniques 28
- Speech and Audio Processing 4
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- Spectroscopy and Chemometric Analyses 15
- Co-authors
- Christoph Brüser (2 shared papers)Steffen Leonhardt (2 shared papers)S. de Waele (1 shared paper)Elmar W. Lang (28 shared papers)Ana Maria Tomé (26 shared papers)Fabian J. Theis (20 shared papers)Ana Rita Teixeira (15 shared papers)Toshihisa Tanaka (1 shared paper)
- Journals
- Neurocomputing (3 papers)Digital Signal Processing (2 papers)IEEE Transactions on Biomedical Engineering (1 paper)Lecture notes in computer science (9 papers)Conference proceedings (1 paper)
In The Last Decade
K. Stadlthanner
32 papers receiving 447 citations
Peers
Comparison fields: 5 of 58
- Signal Processing 141
- Computational Mathematics 6
- Cardiology and Cardiovascular Medicine 157
- Analytical Chemistry 71
- Biomedical Engineering 197
Countries citing papers authored by K. Stadlthanner
This map shows the geographic impact of K. Stadlthanner'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 K. Stadlthanner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Stadlthanner more than expected).
Fields of papers citing papers by K. Stadlthanner
This network shows the impact of papers produced by K. Stadlthanner. 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 K. Stadlthanner. The network helps show where K. Stadlthanner may publish in the future.
Co-authors
The 24 scholars most cited alongside K. Stadlthanner, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 169 | |
| 2 | 2007 | 53 | |
| 3 | 2005 | 43 | |
| 4 | 2010 | 30 | |
| 5 | 2006 | 30 | |
| 6 | 2008 | 13 | |
| 7 | 2007 | 13 | |
| 8 | Nonlinear projective techniques to extract artifacts in biomedical signals | 2006 | 12 |
| 9 | A Matrix Pencil Approach to the Blind Source Separation of Artifacts in 2D NMR Spectra | 2003 | 11 |
| 10 | 2005 | 10 | |
| 11 | 2005 | 9 | |
| 12 | 2005 | 9 | |
| 13 | On the use of independent component analysis to remove water artefacts of 2D NMR protein spectra | 2003 | 7 |
| 14 | 2005 | 7 | |
| 15 | 2006 | 5 | |
| 16 | 2004 | 5 | |
| 17 | 2004 | 5 | |
| 18 | Analyzing gene expression profiles with ICA | 2006 | 4 |
| 19 | 2007 | 4 | |
| 20 | 2005 | 4 |
About K. Stadlthanner
K. Stadlthanner is a scholar working on Signal Processing, Analytical Chemistry, Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition, having authored 32 papers that have together received 466 indexed citations. Recurring topics across this work include Blind Source Separation Techniques (28 papers), Spectroscopy and Chemometric Analyses (15 papers), Neural Networks and Applications (6 papers), NMR spectroscopy and applications (5 papers), Gene expression and cancer classification (5 papers), Image and Signal Denoising Methods (4 papers), Speech and Audio Processing (4 papers) and EEG and Brain-Computer Interfaces (3 papers). The work is most often cited by research in Signal Processing (141 citations), Computational Mathematics (6 citations), Cardiology and Cardiovascular Medicine (157 citations), Analytical Chemistry (71 citations) and Biomedical Engineering (197 citations). K. Stadlthanner has collaborated with scholars based in Germany, Portugal and Spain. Frequent co-authors include Christoph Brüser, Steffen Leonhardt, S. de Waele, Elmar W. Lang, Ana Maria Tomé, Fabian J. Theis, Ana Rita Teixeira, Toshihisa Tanaka, Carlos G. Puntonet and A. Brauers. Their work appears in journals such as Neurocomputing, Digital Signal Processing, IEEE Transactions on Biomedical Engineering, Lecture notes in computer science and Conference proceedings.
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.