Tomasz Markiewicz
Impact in
- Biophysics top 2%
- Cell Image Analysis Techniques
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- ECG Monitoring and Analysis
Papers in
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- AI in cancer detection 33
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- Digital Imaging for Blood Diseases 15
- Medical Image Segmentation Techniques 12
- Co-authors
- S. Osowski (40 shared papers)Trần Hoài Linh (2 shared papers)Krzysztof Siwek (5 shared papers)Żaneta Świderska-Chadaj (19 shared papers)Wojciech Kozłowski (28 shared papers)Bartłomiej Grala (13 shared papers)Szczepan Cierniak (9 shared papers)J Słodkowska (13 shared papers)
- Journals
- Diagnostic Pathology (4 papers)Expert Systems with Applications (3 papers)Journal of Applied Biomedicine (3 papers)IEEE Transactions on Biomedical Engineering (2 papers)Journal of Microscopy (2 papers)
- Partner nations
- PolandUnited StatesRussia
In The Last Decade
Tomasz Markiewicz
81 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 124
- Biophysics 188
- Cardiology and Cardiovascular Medicine 443
- Cognitive Neuroscience 329
- Computer Vision and Pattern Recognition 370
- Artificial Intelligence 498
Countries citing papers authored by Tomasz Markiewicz
This map shows the geographic impact of Tomasz Markiewicz'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 Tomasz Markiewicz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomasz Markiewicz more than expected).
Fields of papers citing papers by Tomasz Markiewicz
This network shows the impact of papers produced by Tomasz Markiewicz. 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 Tomasz Markiewicz. The network helps show where Tomasz Markiewicz may publish in the future.
Co-authors
The 25 scholars most cited alongside Tomasz Markiewicz, 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 89 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 441 | |
| 2 | 2019 | 133 | |
| 3 | 2008 | 92 | |
| 4 | 2006 | 59 | |
| 5 | MLP and SVM networks - a comparative study | 2004 | 55 |
| 6 | 2005 | 52 | |
| 7 | 2007 | 52 | |
| 8 | 2010 | 38 | |
| 9 | 2015 | 35 | |
| 10 | 2021 | 28 | |
| 11 | 2017 | 25 | |
| 12 | Comparative analysis of methods for accurate recognition of cells through nuclei staining of Ki-67 in neuroblastoma and estrogen/progesterone status staining in breast cancer. | 2009 | 24 |
| 13 | Image processing for accurate cell recognition and count on histologic slides. | 2006 | 23 |
| 14 | 2018 | 21 | |
| 15 | 2011 | 21 | |
| 16 | 2011 | 20 | |
| 17 | 2004 | 17 | |
| 18 | Data mining techniques for feature selection in blood cell recognition | 2006 | 15 |
| 19 | 2016 | 15 | |
| 20 | 2016 | 14 |
About Tomasz Markiewicz
Tomasz Markiewicz is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Biophysics and Molecular Biology, having authored 89 papers that have together received 1.4k indexed citations. Recurring topics across this work include AI in cancer detection (33 papers), Digital Imaging for Blood Diseases (15 papers), Cell Image Analysis Techniques (14 papers), Medical Image Segmentation Techniques (12 papers), Radiomics and Machine Learning in Medical Imaging (12 papers), Gene expression and cancer classification (8 papers), Renal cell carcinoma treatment (7 papers) and Image Processing Techniques and Applications (5 papers). The work is most often cited by research in Biophysics (188 citations), Cardiology and Cardiovascular Medicine (443 citations), Cognitive Neuroscience (329 citations), Computer Vision and Pattern Recognition (370 citations) and Artificial Intelligence (498 citations). Tomasz Markiewicz has collaborated with scholars based in Poland, United States and Russia. Frequent co-authors include S. Osowski, Trần Hoài Linh, Krzysztof Siwek, Żaneta Świderska-Chadaj, Wojciech Kozłowski, Bartłomiej Grala, Szczepan Cierniak, J Słodkowska, Arkadiusz Gertych and K. Brudzewski. Their work appears in journals such as Diagnostic Pathology, Expert Systems with Applications, Journal of Applied Biomedicine, IEEE Transactions on Biomedical Engineering and Journal of Microscopy.
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.