Leon Bobrowski
Impact in
- Artificial Intelligence top 10%
- Advanced Clustering Algorithms Research
- Neural Networks and Applications
- Fuzzy Logic and Control Systems
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- Data Management and Algorithms
Papers in
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- Neural Networks and Applications 9
- Fuzzy Logic and Control Systems 2
- Statistical and Computational Modeling 2
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- Face and Expression Recognition 2
- Co-authors
- James C. Bezdek (1 shared paper)Jack Sklansky (1 shared paper)Bengt Lindholm (4 shared papers)Peter Stenvinkel (4 shared papers)Abdul Rashid Qureshi (4 shared papers)E. R. Caianiello (1 shared paper)Jacek Waniewski (3 shared papers)Hanna Wasyluk (2 shared papers)
- Journals
- Pattern Recognition (3 papers)Biological Cybernetics (3 papers)Pattern Analysis and Applications (1 paper)Journal of Internal Medicine (1 paper)Methods of Information in Medicine (1 paper)
- Partner nations
- PolandSwedenUnited States
In The Last Decade
Leon Bobrowski
23 papers receiving 234 citations
Peers
Comparison fields: 5 of 67
- Artificial Intelligence 141
- Signal Processing 41
- Computer Vision and Pattern Recognition 77
- Statistics and Probability 29
- Nephrology 17
Countries citing papers authored by Leon Bobrowski
This map shows the geographic impact of Leon Bobrowski'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 Leon Bobrowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leon Bobrowski more than expected).
Fields of papers citing papers by Leon Bobrowski
This network shows the impact of papers produced by Leon Bobrowski. 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 Leon Bobrowski. The network helps show where Leon Bobrowski may publish in the future.
Co-authors
The 25 scholars most cited alongside Leon Bobrowski, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1991 | 118 | |
| 2 | 1991 | 16 | |
| 3 | 1984 | 15 | |
| 4 | 2019 | 11 | |
| 5 | 1995 | 11 | |
| 6 | 2003 | 10 | |
| 7 | Feature Selection Based on Relaxed Linear Separability | 2009 | 10 |
| 8 | 1978 | 9 | |
| 9 | 2016 | 7 | |
| 10 | 1986 | 7 | |
| 11 | 2007 | 6 | |
| 12 | 2014 | 5 | |
| 13 | 1980 | 4 | |
| 14 | 1984 | 3 | |
| 15 | 1996 | 3 | |
| 16 | 1982 | 3 | |
| 17 | 2006 | 2 | |
| 18 | 2001 | 2 | |
| 19 | 2022 | 2 | |
| 20 | 2012 | 2 |
About Leon Bobrowski
Leon Bobrowski is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Food Science, Computer Networks and Communications and Statistics and Probability, having authored 26 papers that have together received 249 indexed citations. Recurring topics across this work include Neural Networks and Applications (9 papers), Advanced Scientific Research Methods (3 papers), Fuzzy Logic and Control Systems (2 papers), Gene expression and cancer classification (2 papers), Face and Expression Recognition (2 papers), Statistical and Computational Modeling (2 papers), Advanced Statistical Modeling Techniques (2 papers) and Parathyroid Disorders and Treatments (2 papers). The work is most often cited by research in Artificial Intelligence (141 citations), Signal Processing (41 citations), Computer Vision and Pattern Recognition (77 citations), Statistics and Probability (29 citations) and Nephrology (17 citations). Leon Bobrowski has collaborated with scholars based in Poland, Sweden and United States. Frequent co-authors include James C. Bezdek, Jack Sklansky, Bengt Lindholm, Peter Stenvinkel, Abdul Rashid Qureshi, E. R. Caianiello, Jacek Waniewski, Hanna Wasyluk, Małgorzata Dębowska and Peter Bárány. Their work appears in journals such as Pattern Recognition, Biological Cybernetics, Pattern Analysis and Applications, Journal of Internal Medicine and Methods of Information in Medicine.
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.