Szymon Płotka
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
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- Fetal and Pediatric Neurological Disorders
- Neonatal and fetal brain pathology
Papers in
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- Fetal and Pediatric Neurological Disorders 4
- Neonatal and fetal brain pathology 3
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- AI in cancer detection 4
- Domain Adaptation and Few-Shot Learning 3
- Co-authors
- Arkadiusz Sitek (15 shared papers)T. P. Trzcinski (12 shared papers)Michał Lipa (7 shared papers)Tomasz Włodarczyk (3 shared papers)Robert Brawura-Biskupski-Samaha (7 shared papers)Joanna Seliga‐Siwecka (2 shared papers)P. S. Rokita (2 shared papers)Diego Dall’Alba (2 shared papers)
- Journals
- Physics in Medicine and Biology (1 paper)Computers in Biology and Medicine (1 paper)Pediatric Research (1 paper)Medical Image Analysis (1 paper)Electronics (1 paper)
- Partner nations
- PolandNetherlandsUnited States
In The Last Decade
Szymon Płotka
21 papers receiving 189 citations
Peers
Comparison fields: 5 of 53
- Health Informatics 17
- Pediatrics, Perinatology and Child Health 67
- Obstetrics and Gynecology 17
- Radiology, Nuclear Medicine and Imaging 43
- Health Information Management 8
Countries citing papers authored by Szymon Płotka
This map shows the geographic impact of Szymon Płotka'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 Szymon Płotka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Szymon Płotka more than expected).
Fields of papers citing papers by Szymon Płotka
This network shows the impact of papers produced by Szymon Płotka. 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 Szymon Płotka. The network helps show where Szymon Płotka may publish in the future.
Co-authors
The 21 scholars most cited alongside Szymon Płotka, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 36 | |
| 2 | 2022 | 35 | |
| 3 | 2021 | 28 | |
| 4 | 2023 | 15 | |
| 5 | 2022 | 13 | |
| 6 | 2022 | 13 | |
| 7 | 2023 | 12 | |
| 8 | 2022 | 8 | |
| 9 | 2023 | 7 | |
| 10 | 2022 | 7 | |
| 11 | 2022 | 4 | |
| 12 | 2023 | 4 | |
| 13 | 2025 | 4 | |
| 14 | 2024 | 3 | |
| 15 | 2019 | 3 | |
| 16 | 2024 | 2 | |
| 17 | 2022 | 2 | |
| 18 | 2021 | 2 | |
| 19 | 2022 | 1 | |
| 20 | 2024 | 1 |
About Szymon Płotka
Szymon Płotka is a scholar working on Pediatrics, Perinatology and Child Health, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Computer Vision and Pattern Recognition, having authored 22 papers that have together received 201 indexed citations. Recurring topics across this work include Fetal and Pediatric Neurological Disorders (4 papers), AI in cancer detection (4 papers), Neonatal and fetal brain pathology (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), Neonatal Respiratory Health Research (3 papers), Surgical Simulation and Training (2 papers), Advanced X-ray and CT Imaging (2 papers) and Medical Image Segmentation Techniques (2 papers). The work is most often cited by research in Health Informatics (17 citations), Pediatrics, Perinatology and Child Health (67 citations), Obstetrics and Gynecology (17 citations), Radiology, Nuclear Medicine and Imaging (43 citations) and Health Information Management (8 citations). Szymon Płotka has collaborated with scholars based in Poland, Netherlands and United States. Frequent co-authors include Arkadiusz Sitek, T. P. Trzcinski, Michał Lipa, Tomasz Włodarczyk, Robert Brawura-Biskupski-Samaha, Joanna Seliga‐Siwecka, P. S. Rokita, Diego Dall’Alba, Paweł Gutaj and Ivana Išgum. Their work appears in journals such as Physics in Medicine and Biology, Computers in Biology and Medicine, Pediatric Research, Medical Image Analysis and Electronics.
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.