Marko Rak
- Biomedical Engineering
- Radiology, Nuclear Medicine and Imaging
- Computer Vision and Pattern Recognition top 10%
- Surgery
- Pulmonary and Respiratory Medicine
- Co-authors
- Christian HansenKlaus TönniesJohannes SteffenKlaus D. ToenniesMartin SchostakAndrea SchenkGrzegorz ChlebusHans Meine
- Topics
- Radiomics and Machine Learning in Medical Imaging (8 papers)Medical Image Segmentation Techniques (7 papers)Medical Imaging and Analysis (6 papers)
- Cited by
- Health InformaticsComputer Vision and Pattern RecognitionRadiology, Nuclear Medicine and Imaging
- Partner nations
- GermanyChinaUnited States
In The Last Decade
Marko Rak
21 papers receiving 242 citations
Peers
Comparison fields: 5 of 60
- Biomedical Engineering 124
- Radiology, Nuclear Medicine and Imaging 95
- Computer Vision and Pattern Recognition 89
- Surgery 45
- Pulmonary and Respiratory Medicine 43
Countries citing papers authored by Marko Rak
This map shows the geographic impact of Marko Rak'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 Marko Rak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marko Rak more than expected).
Fields of papers citing papers by Marko Rak
This network shows the impact of papers produced by Marko Rak. 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 Marko Rak. The network helps show where Marko Rak may publish in the future.
Co-authorship network of co-authors of Marko Rak
This figure shows the co-authorship network connecting the top 25 collaborators of Marko Rak. A scholar is included among the top collaborators of Marko Rak 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 Marko Rak. Marko Rak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 10 | |
| 3 | 4 | |
| 4 | 20 | |
| 5 | 9 | |
| 6 | 44 | |
| 7 | 6 | |
| 8 | 4 | |
| 9 | 29 | |
| 10 | 7 | |
| 11 | 15 | |
| 12 | 1 | |
| 13 | 18 | |
| 14 | 2 | |
| 15 | Spinal Canal Centerline Extraction in MRI. | 1 |
| 16 | 3 | |
| 17 | 4 | |
| 18 | 22 | |
| 19 | 12 | |
| 20 | 14 |
About Marko Rak
Marko Rak is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Radiation, having authored 21 papers that have together received 246 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (8 papers), Medical Image Segmentation Techniques (7 papers) and Medical Imaging and Analysis (6 papers). The work is most often cited by research in Health Informatics (8 citations), Computer Vision and Pattern Recognition (89 citations) and Radiology, Nuclear Medicine and Imaging (95 citations). Marko Rak has collaborated with scholars based in Germany, China and United States. Frequent co-authors include Christian Hansen, Klaus Tönnies, Johannes Steffen, Klaus D. Toennies, Martin Schostak, Andrea Schenk, Grzegorz Chlebus, Hans Meine, Bram van Ginneken and Horst K. Hahn. Their work appears in journals such as PLoS ONE, Scientific Reports and Computer Methods and Programs in Biomedicine.
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.