Franciscus M. Vos
- Radiology, Nuclear Medicine and Imaging
- Computer Vision and Pattern Recognition top 10%
- Oncology
- Artificial Intelligence
- Genetics
- Co-authors
- Joachim M. BuhmannDwarikanath MahapatraJeroen A. W. TielbeekPeter J. SchüfflerJaap StokerStuart A. TaylorJesica MakanyangaLucas J. van Vliet
- Topics
- Radiomics and Machine Learning in Medical Imaging (5 papers)Image Retrieval and Classification Techniques (5 papers)Medical Image Segmentation Techniques (4 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingComputer Vision and Pattern RecognitionComputational Mathematics
- Partner nations
- NetherlandsSwitzerlandUnited Kingdom
In The Last Decade
Franciscus M. Vos
18 papers receiving 198 citations
Peers
Comparison fields: 5 of 37
- Radiology, Nuclear Medicine and Imaging 90
- Computer Vision and Pattern Recognition 75
- Oncology 60
- Artificial Intelligence 50
- Genetics 44
Countries citing papers authored by Franciscus M. Vos
This map shows the geographic impact of Franciscus M. Vos'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 Franciscus M. Vos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Franciscus M. Vos more than expected).
Fields of papers citing papers by Franciscus M. Vos
This network shows the impact of papers produced by Franciscus M. Vos. 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 Franciscus M. Vos. The network helps show where Franciscus M. Vos may publish in the future.
Co-authorship network of co-authors of Franciscus M. Vos
This figure shows the co-authorship network connecting the top 25 collaborators of Franciscus M. Vos. A scholar is included among the top collaborators of Franciscus M. Vos 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 Franciscus M. Vos. Franciscus M. Vos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 2 | |
| 3 | 8 | |
| 4 | Detection of small cerebral lesions using multi-component MR Fingerprinting with local joint sparsity | 1 |
| 5 | 14 | |
| 6 | 20 | |
| 7 | 1 | |
| 8 | 7 | |
| 9 | 45 | |
| 10 | 14 | |
| 11 | 20 | |
| 12 | 5 | |
| 13 | 7 | |
| 14 | 6 | |
| 15 | 17 | |
| 16 | Original research. Low-fiber diet in limited bowel preparation for CT colonography: influence on image quality and patient acceptance. | 3 |
| 17 | 17 | |
| 18 | 8 |
About Franciscus M. Vos
Franciscus M. Vos is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Gastroenterology, having authored 18 papers that have together received 202 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (5 papers), Image Retrieval and Classification Techniques (5 papers) and Medical Image Segmentation Techniques (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (90 citations), Computer Vision and Pattern Recognition (75 citations) and Computational Mathematics (2 citations). Franciscus M. Vos has collaborated with scholars based in Netherlands, Switzerland and United Kingdom. Frequent co-authors include Joachim M. Buhmann, Dwarikanath Mahapatra, Jeroen A. W. Tielbeek, Peter J. Schüffler, Jaap Stoker, Stuart A. Taylor, Jesica Makanyanga, Lucas J. van Vliet, Ayso H. de Vries and Hans G. Lemij. Their work appears in journals such as NeuroImage, Magnetic Resonance in Medicine and IEEE Transactions on Medical Imaging.
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.