Marek Kurzyński
Impact in
- Artificial Intelligence top 2%
- Neural Networks and Applications
- Machine Learning and Data Classification
- Imbalanced Data Classification Techniques
- Data Stream Mining Techniques
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- Face and Expression Recognition
Papers in
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- Neural Networks and Applications 27
- Fuzzy Logic and Control Systems 17
- Text and Document Classification Technologies 11
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- Muscle activation and electromyography studies 28
- Co-authors
- Tomasz Woloszynski (14 shared papers)Andrzej Wołczowski (26 shared papers)Paweł Podsiadło (4 shared papers)Gwidon Stachowiak (4 shared papers)Michał Woźniak (10 shared papers)Robert Burduk (4 shared papers)Martin Englund (1 shared paper)Stefan Lohmander (1 shared paper)
In The Last Decade
Marek Kurzyński
107 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 118
- Artificial Intelligence 622
- Computer Vision and Pattern Recognition 221
- Cognitive Neuroscience 184
- Human-Computer Interaction 49
- Cellular and Molecular Neuroscience 126
Countries citing papers authored by Marek Kurzyński
This map shows the geographic impact of Marek Kurzyński'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 Marek Kurzyński with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marek Kurzyński more than expected).
Fields of papers citing papers by Marek Kurzyński
This network shows the impact of papers produced by Marek Kurzyński. 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 Marek Kurzyński. The network helps show where Marek Kurzyński may publish in the future.
Co-authors
The 19 scholars most cited alongside Marek Kurzyński, 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 116 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 152 | |
| 2 | 2011 | 104 | |
| 3 | 2013 | 73 | |
| 4 | 2011 | 57 | |
| 5 | 2013 | 48 | |
| 6 | 1988 | 44 | |
| 7 | 2010 | 43 | |
| 8 | 2009 | 42 | |
| 9 | 1983 | 39 | |
| 10 | 2010 | 37 | |
| 11 | 2010 | 31 | |
| 12 | 2015 | 28 | |
| 13 | 2009 | 21 | |
| 14 | 2017 | 21 | |
| 15 | 2018 | 21 | |
| 16 | 2017 | 19 | |
| 17 | 1983 | 17 | |
| 18 | 1989 | 16 | |
| 19 | 2012 | 15 | |
| 20 | 2007 | 15 |
About Marek Kurzyński
Marek Kurzyński is a scholar working on Artificial Intelligence, Biomedical Engineering, Cognitive Neuroscience, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 116 papers that have together received 1.2k indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (28 papers), Neural Networks and Applications (27 papers), EEG and Brain-Computer Interfaces (20 papers), Fuzzy Logic and Control Systems (17 papers), Neuroscience and Neural Engineering (16 papers), Fault Detection and Control Systems (13 papers), Face and Expression Recognition (12 papers) and Text and Document Classification Technologies (11 papers). The work is most often cited by research in Artificial Intelligence (622 citations), Computer Vision and Pattern Recognition (221 citations), Cognitive Neuroscience (184 citations), Human-Computer Interaction (49 citations) and Cellular and Molecular Neuroscience (126 citations). Marek Kurzyński has collaborated with scholars based in Poland, Australia and Portugal. Frequent co-authors include Tomasz Woloszynski, Andrzej Wołczowski, Paweł Podsiadło, Gwidon Stachowiak, Michał Woźniak, Robert Burduk, Martin Englund, Stefan Lohmander, Konrad Jackowski and Tito G. Amaral. Their work appears in journals such as Pattern Recognition Letters, Computers in Biology and Medicine, Pattern Recognition, Lecture notes in computer science and Journal of Applied Biomedicine.
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.