Ewa Piętka
- Archeology top 0.5%
- Forensic Anthropology and Bioarchaeology Studies 13
- Oral Surgery top 2%
- Dental Radiography and Imaging 5
- Health Informatics top 5%
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- Medical Image Segmentation Techniques 21
- Image and Object Detection Techniques 4
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- Medical Imaging Techniques and Applications 13
- Radiomics and Machine Learning in Medical Imaging 7
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- AI in cancer detection 7
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- Digital Radiography and Breast Imaging 5
- Co-authors
- H. K. HuangVicente GilsanzJacek KawaFei CaoArkadiusz GertychPaweł BaduraMin‐Liang KuoM. Ines Boechat
- Journals
- SHILAP Revista de lepidopterología (1 paper)PLoS ONE (1 paper)Scientific Reports (1 paper)
- Partner nations
- PolandUnited StatesSwitzerland
In The Last Decade
Ewa Piętka
78 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 140
- Archeology 401
- Oral Surgery 226
- Health Informatics 38
- Computer Vision and Pattern Recognition 402
- Radiology, Nuclear Medicine and Imaging 333
Countries citing papers authored by Ewa Piętka
This map shows the geographic impact of Ewa Piętka'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 Ewa Piętka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ewa Piętka more than expected).
Fields of papers citing papers by Ewa Piętka
This network shows the impact of papers produced by Ewa Piętka. 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 Ewa Piętka. The network helps show where Ewa Piętka may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ewa Piętka, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 4 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 6 | |
| 4 | 2023 | 13 | |
| 5 | 2021 | 17 | |
| 6 | 2020 | 8 | |
| 7 | 2019 | 3 | |
| 8 | 2016 | 6 | |
| 9 | 2015 | 26 | |
| 10 | 2015 | 14 | |
| 11 | 2014 | 44 | |
| 12 | 2014 | 6 | |
| 13 | A novel model-based approach to left ventricle segmentation | 2012 | 2 |
| 14 | Quantitative tumour tissue measurements in subjects with high-grade gliomas | 2011 | 2 |
| 15 | 2009 | 15 | |
| 16 | 2004 | 25 | |
| 17 | 2000 | 52 | |
| 18 | Database of diagnostic images in hospital integrated picture archiving and communication systems | 1999 | 1 |
| 19 | 1992 | 21 | |
| 20 | 1991 | 61 |
About Ewa Piętka
Ewa Piętka is a scholar working on Archeology, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 81 papers that have together received 1.3k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (21 papers), Medical Imaging Techniques and Applications (13 papers), Forensic Anthropology and Bioarchaeology Studies (13 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), AI in cancer detection (7 papers), Digital Radiography and Breast Imaging (5 papers), Dental Radiography and Imaging (5 papers) and Image and Object Detection Techniques (4 papers). The work is most often cited by research in Archeology (401 citations), Oral Surgery (226 citations) and Health Informatics (38 citations). Ewa Piętka has collaborated with scholars based in Poland, United States and Switzerland. Frequent co-authors include H. K. Huang, Vicente Gilsanz, Jacek Kawa, Fei Cao, Arkadiusz Gertych, Paweł Badura, Min‐Liang Kuo, H. K. Huang, M. Ines Boechat and Stefano Mora. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.