Marek Krętowski
Impact in
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- Radiomics and Machine Learning in Medical Imaging
Papers in
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- Evolutionary Algorithms and Applications 24
- Metaheuristic Optimization Algorithms Research 11
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- Radiomics and Machine Learning in Medical Imaging 8
- Co-authors
- Marcin Czajkowski (28 shared papers)Johanne Bézy‐Wendling (23 shared papers)Marek Grześ (3 shared papers)Jean-Louis Coatrieux (2 shared papers)Yan Rolland (3 shared papers)Dorota Duda (4 shared papers)Pierre‐Antoine Eliat (6 shared papers)Hervé Saint‐Jalmes (4 shared papers)
In The Last Decade
Marek Krętowski
63 papers receiving 650 citations
Peers
Comparison fields: 5 of 116
- Radiology, Nuclear Medicine and Imaging 135
- Computer Graphics and Computer-Aided Design 20
- Artificial Intelligence 184
- Modeling and Simulation 25
- Hepatology 39
Countries citing papers authored by Marek Krętowski
This map shows the geographic impact of Marek Krętowski'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 Krętowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marek Krętowski more than expected).
Fields of papers citing papers by Marek Krętowski
This network shows the impact of papers produced by Marek Krętowski. 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 Krętowski. The network helps show where Marek Krętowski may publish in the future.
Co-authors
The 25 scholars most cited alongside Marek Krętowski, 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 90 | |
| 2 | 2001 | 42 | |
| 3 | 2003 | 38 | |
| 4 | 2019 | 38 | |
| 5 | 2014 | 34 | |
| 6 | 2003 | 26 | |
| 7 | 2023 | 25 | |
| 8 | 2009 | 21 | |
| 9 | 2021 | 20 | |
| 10 | 2023 | 20 | |
| 11 | 2016 | 20 | |
| 12 | 2013 | 19 | |
| 13 | 2021 | 19 | |
| 14 | 2019 | 18 | |
| 15 | 2013 | 17 | |
| 16 | 2011 | 13 | |
| 17 | 2007 | 12 | |
| 18 | 2017 | 12 | |
| 19 | 2007 | 12 | |
| 20 | 2015 | 12 |
About Marek Krętowski
Marek Krętowski is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Computer Vision and Pattern Recognition and Information Systems, having authored 64 papers that have together received 672 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (24 papers), Gene expression and cancer classification (13 papers), Medical Image Segmentation Techniques (13 papers), Metaheuristic Optimization Algorithms Research (11 papers), Data Mining Algorithms and Applications (8 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), Bioinformatics and Genomic Networks (8 papers) and Mathematical Biology Tumor Growth (6 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (135 citations), Computer Graphics and Computer-Aided Design (20 citations), Artificial Intelligence (184 citations), Modeling and Simulation (25 citations) and Hepatology (39 citations). Marek Krętowski has collaborated with scholars based in Poland, France and Canada. Frequent co-authors include Marcin Czajkowski, Johanne Bézy‐Wendling, Marek Grześ, Jean-Louis Coatrieux, Yan Rolland, Dorota Duda, Pierre‐Antoine Eliat, Hervé Saint‐Jalmes, Jean-Jacques Bellanger and Pierrick Coupé. Their work appears in journals such as IEEE Transactions on Medical Imaging, Journal of Applied Biomedicine, Scientific Reports, IEEE Transactions on Biomedical Engineering and Information Sciences.
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.