Hans C. van Assen
- Radiology, Nuclear Medicine and Imaging top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering
- Surgery
- Co-authors
- Luc FlorackJohan H. C. ReiberJos J.M. WestenbergBoudewijn P. F. LelieveldtM. Egmont‐PetersenMikhail G. DanilouchkineAlejandro F. FrangiJ. H. C. Reiber
- Topics
- Advanced MRI Techniques and Applications (17 papers)Medical Image Segmentation Techniques (14 papers)Cardiovascular Function and Risk Factors (12 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingCardiology and Cardiovascular MedicineComputer Vision and Pattern Recognition
- Partner nations
- NetherlandsUnited StatesGermany
In The Last Decade
Hans C. van Assen
55 papers receiving 985 citations
Peers
Comparison fields: 5 of 113
- Radiology, Nuclear Medicine and Imaging 356
- Cardiology and Cardiovascular Medicine 340
- Computer Vision and Pattern Recognition 294
- Biomedical Engineering 232
- Surgery 165
Countries citing papers authored by Hans C. van Assen
This map shows the geographic impact of Hans C. van Assen'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 Hans C. van Assen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hans C. van Assen more than expected).
Fields of papers citing papers by Hans C. van Assen
This network shows the impact of papers produced by Hans C. van Assen. 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 Hans C. van Assen. The network helps show where Hans C. van Assen may publish in the future.
Co-authorship network of co-authors of Hans C. van Assen
This figure shows the co-authorship network connecting the top 25 collaborators of Hans C. van Assen. A scholar is included among the top collaborators of Hans C. van Assen 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 Hans C. van Assen. Hans C. van Assen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 9 | |
| 7 | 7 | |
| 8 | 31 | |
| 9 | 10 | |
| 10 | 3 | |
| 11 | 34 | |
| 12 | 12 | |
| 13 | 39 | |
| 14 | Cardiac motion estimation using covariant derivatives and Helmholtz decomposition | 1 |
| 15 | 9 | |
| 16 | 65 | |
| 17 | 5 | |
| 18 | 7 | |
| 19 | 68 | |
| 20 | 7 |
About Hans C. van Assen
Hans C. van Assen is a scholar working on Computational Mathematics, Radiology, Nuclear Medicine and Imaging and Cardiology and Cardiovascular Medicine, having authored 56 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (17 papers), Medical Image Segmentation Techniques (14 papers) and Cardiovascular Function and Risk Factors (12 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (356 citations), Cardiology and Cardiovascular Medicine (340 citations) and Computer Vision and Pattern Recognition (294 citations). Hans C. van Assen has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Luc Florack, Johan H. C. Reiber, Jos J.M. Westenberg, Boudewijn P. F. Lelieveldt, M. Egmont‐Petersen, Mikhail G. Danilouchkine, Alejandro F. Frangi, J. H. C. Reiber, Sebastián Ordás and Frank Frank Baaijens. Their work appears in journals such as PLoS ONE, Scientific Reports and IEEE Transactions on Image Processing.
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.