Damian Borys
- Radiology, Nuclear Medicine and Imaging
- Radiation top 10%
- Pulmonary and Respiratory Medicine
- Computer Vision and Pattern Recognition
- Artificial Intelligence
- Co-authors
- Andrzej ŚwierniakBarbara Bobek‐BillewiczSebastian StudentMaria SokółB. Q. LeeGilles MathieuAndrea MairaniManuel Bardiès
- Topics
- Medical Imaging Techniques and Applications (12 papers)Radiomics and Machine Learning in Medical Imaging (7 papers)Medical Image Segmentation Techniques (5 papers)
- Partner nations
- PolandHungaryUnited States
In The Last Decade
Damian Borys
27 papers receiving 194 citations
Peers
Comparison fields: 5 of 67
- Radiology, Nuclear Medicine and Imaging 107
- Radiation 41
- Pulmonary and Respiratory Medicine 34
- Computer Vision and Pattern Recognition 26
- Artificial Intelligence 24
Countries citing papers authored by Damian Borys
This map shows the geographic impact of Damian Borys'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 Damian Borys with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Damian Borys more than expected).
Fields of papers citing papers by Damian Borys
This network shows the impact of papers produced by Damian Borys. 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 Damian Borys. The network helps show where Damian Borys may publish in the future.
Co-authorship network of co-authors of Damian Borys
This figure shows the co-authorship network connecting the top 25 collaborators of Damian Borys. A scholar is included among the top collaborators of Damian Borys based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Damian Borys. Damian Borys is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 7 | |
| 9 | 0 | |
| 10 | 4 | |
| 11 | 5 | |
| 12 | 7 | |
| 13 | 3 | |
| 14 | 4 | |
| 15 | 51 | |
| 16 | 26 | |
| 17 | 5 | |
| 18 | 1 | |
| 19 | NODE ASSIGNMENT PROBLEM IN BAYESIAN NETWORKS | 3 |
| 20 | CT/SPECT image fusion in patients treated with iodine-131 | 2 |
About Damian Borys
Damian Borys is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging and Aging, having authored 34 papers that have together received 198 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (12 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Medical Image Segmentation Techniques (5 papers). The work is most often cited by research in Radiation (41 citations), Radiology, Nuclear Medicine and Imaging (107 citations) and Biophysics (8 citations). Damian Borys has collaborated with scholars based in Poland, Hungary and United States. Frequent co-authors include Andrzej Świerniak, Barbara Bobek‐Billewicz, Sebastian Student, Maria Sokół, B. Q. Lee, Gilles Mathieu, Andrea Mairani, Manuel Bardiès, Ana M. Denis-Bacelar and Erin McKay. Their work appears in journals such as Scientific Reports, Physics in Medicine and Biology and Journal of Nuclear 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.