S. Osowski
Impact in
- Cognitive Neuroscience top 2%
- EEG and Brain-Computer Interfaces
-
- ECG Monitoring and Analysis
Papers in ⓘ
-
- Neural Networks and Applications 43
- AI in cancer detection 20
-
- Energy Load and Power Forecasting 17
- Co-authors
- Trần Hoài Linh (13 shared papers)Tomasz Markiewicz (31 shared papers)Krzysztof Siwek (33 shared papers)K. Brudzewski (14 shared papers)Robert Sałat (5 shared papers)Jarosław Kurek (18 shared papers)Bartosz Świderski (22 shared papers)Michał Kruk (24 shared papers)
In The Last Decade
S. Osowski
170 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 152
- Cognitive Neuroscience 838
- Cardiology and Cardiovascular Medicine 930
- Signal Processing 331
- Artificial Intelligence 793
- Computer Vision and Pattern Recognition 471
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 191 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 398 | |
| 2 | 2004 | 391 | |
| 3 | 2006 | 160 | |
| 4 | 2004 | 150 | |
| 5 | 2003 | 133 | |
| 6 | 1992 | 120 | |
| 7 | 2011 | 92 | |
| 8 | 2008 | 86 | |
| 9 | 2011 | 84 | |
| 10 | 2012 | 74 | |
| 11 | 2002 | 69 | |
| 12 | 2009 | 65 | |
| 13 | 2002 | 59 | |
| 14 | 2016 | 56 | |
| 15 | 2009 | 53 | |
| 16 | 1996 | 52 | |
| 17 | MLP and SVM networks - a comparative study | 2004 | 51 |
| 18 | 2005 | 51 | |
| 19 | 2021 | 49 | |
| 20 | 2006 | 48 |
About S. Osowski
S. Osowski is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Biomedical Engineering and Control and Systems Engineering, having authored 191 papers that have together received 3.6k indexed citations. Recurring topics across this work include Neural Networks and Applications (43 papers), AI in cancer detection (20 papers), Advanced Chemical Sensor Technologies (18 papers), Energy Load and Power Forecasting (17 papers), Digital Imaging for Blood Diseases (14 papers), ECG Monitoring and Analysis (11 papers), Gene expression and cancer classification (11 papers) and Sensor Technology and Measurement Systems (11 papers). The work is most often cited by research in Cognitive Neuroscience (838 citations), Cardiology and Cardiovascular Medicine (930 citations), Signal Processing (331 citations), Artificial Intelligence (793 citations) and Computer Vision and Pattern Recognition (471 citations). S. Osowski has collaborated with scholars based in Poland, Japan and Vietnam. Frequent co-authors include Trần Hoài Linh, Tomasz Markiewicz, Krzysztof Siwek, K. Brudzewski, Robert Sałat, Jarosław Kurek, Bartosz Świderski, Michał Kruk, Andrzej 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.