S. Osowski
Impact in
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- ECG Monitoring and Analysis
- Cognitive Neuroscience top 2%
- EEG and Brain-Computer Interfaces
Papers in
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- Neural Networks and Applications 46
- AI in cancer detection 21
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- Digital Imaging for Blood Diseases 16
- Co-authors
- Trần Hoài Linh (13 shared papers)Tomasz Markiewicz (40 shared papers)Krzysztof Siwek (38 shared papers)Kazimierz Brudzewski (14 shared papers)Robert Sałat (5 shared papers)Jarosław Kurek (19 shared papers)Bartosz Świderski (25 shared papers)Michał Kruk (25 shared papers)
In The Last Decade
S. Osowski
187 papers receiving 3.8k citations
Peers
Comparison fields: 5 of 151
- Cardiology and Cardiovascular Medicine 1.0k
- Cognitive Neuroscience 900
- Signal Processing 376
- Biophysics 158
- Computer Vision and Pattern Recognition 587
Countries citing papers authored by S. Osowski
This map shows the geographic impact of S. Osowski'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 S. Osowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Osowski more than expected).
Fields of papers citing papers by S. Osowski
This network shows the impact of papers produced by S. Osowski. 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 S. Osowski. The network helps show where S. Osowski may publish in the future.
Co-authors
The 25 scholars most cited alongside S. Osowski, 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 211 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 451 | |
| 2 | 2001 | 437 | |
| 3 | 2006 | 173 | |
| 4 | 2004 | 160 | |
| 5 | 2003 | 150 | |
| 6 | 1992 | 122 | |
| 7 | 2011 | 99 | |
| 8 | 2008 | 91 | |
| 9 | 2002 | 90 | |
| 10 | 2011 | 87 | |
| 11 | 2012 | 79 | |
| 12 | 2009 | 71 | |
| 13 | 2002 | 63 | |
| 14 | 2006 | 60 | |
| 15 | 2016 | 60 | |
| 16 | 2009 | 56 | |
| 17 | MLP and SVM networks - a comparative study | 2004 | 54 |
| 18 | 2005 | 52 | |
| 19 | 1996 | 52 | |
| 20 | 2021 | 52 |
About S. Osowski
S. Osowski is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering, Electrical and Electronic Engineering and Biomedical Engineering, having authored 211 papers that have together received 4.0k indexed citations. Recurring topics across this work include Neural Networks and Applications (46 papers), AI in cancer detection (21 papers), Energy Load and Power Forecasting (21 papers), Advanced Chemical Sensor Technologies (18 papers), Digital Imaging for Blood Diseases (16 papers), Gene expression and cancer classification (16 papers), ECG Monitoring and Analysis (12 papers) and EEG and Brain-Computer Interfaces (12 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.0k citations), Cognitive Neuroscience (900 citations), Signal Processing (376 citations), Biophysics (158 citations) and Computer Vision and Pattern Recognition (587 citations). S. Osowski has collaborated with scholars based in Poland, Japan and Vietnam. Frequent co-authors include Trần Hoài Linh, Tomasz Markiewicz, Krzysztof Siwek, Kazimierz Brudzewski, Robert Sałat, Jarosław Kurek, Bartosz Świderski, Michał Kruk, Andrzej S Cichocki and Andrzej Rysz. Their work appears in journals such as Electronics Letters, Bulletin of the Polish Academy of Sciences Technical Sciences, Expert Systems with Applications, IEEE Transactions on Instrumentation and Measurement and Sensors and Actuators B Chemical.
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.