M.A. Viergever
- Cognitive Neuroscience top 5%
- Computer Vision and Pattern Recognition top 10%
- Radiology, Nuclear Medicine and Imaging
- Statistical and Nonlinear Physics top 10%
- Cellular and Molecular Neuroscience
- Co-authors
- Wiro J. NiessenA. J. HermansMichael D. AbràmoffA. van RotterdamJan van den EndePeter W. A. WillemsO. WinkErik Meijering
- Topics
- Medical Image Segmentation Techniques (5 papers)Advanced Vision and Imaging (5 papers)Advanced MRI Techniques and Applications (3 papers)
- Cited by
- Cognitive NeuroscienceStatistical and Nonlinear PhysicsComputer Vision and Pattern Recognition
- Journals
- IEEE Transactions on Biomedical EngineeringIEEE Transactions on Medical ImagingMedical Image Analysis
- Partner nations
- NetherlandsGermanyUnited States
In The Last Decade
M.A. Viergever
15 papers receiving 550 citations
Peers
Comparison fields: 5 of 84
- Cognitive Neuroscience 279
- Computer Vision and Pattern Recognition 127
- Radiology, Nuclear Medicine and Imaging 109
- Statistical and Nonlinear Physics 82
- Cellular and Molecular Neuroscience 76
Countries citing papers authored by M.A. Viergever
This map shows the geographic impact of M.A. Viergever'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 M.A. Viergever with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.A. Viergever more than expected).
Fields of papers citing papers by M.A. Viergever
This network shows the impact of papers produced by M.A. Viergever. 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 M.A. Viergever. The network helps show where M.A. Viergever may publish in the future.
Co-authorship network of co-authors of M.A. Viergever
This figure shows the co-authorship network connecting the top 25 collaborators of M.A. Viergever. A scholar is included among the top collaborators of M.A. Viergever 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 M.A. Viergever. M.A. Viergever is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Vessel enhancing diffusion: a scale space representation of vessel | 1 |
| 2 | 103 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 7 | |
| 6 | 15 | |
| 7 | 58 | |
| 8 | 24 | |
| 9 | 0 | |
| 10 | 2 | |
| 11 | 20 | |
| 12 | 1 | |
| 13 | 30 | |
| 14 | 12 | |
| 15 | 143 | |
| 16 | 152 |
About M.A. Viergever
M.A. Viergever is a scholar working on Computer Vision and Pattern Recognition, Modeling and Simulation and Biophysics, having authored 16 papers that have together received 574 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (5 papers), Advanced Vision and Imaging (5 papers) and Advanced MRI Techniques and Applications (3 papers). The work is most often cited by research in Cognitive Neuroscience (279 citations), Statistical and Nonlinear Physics (82 citations) and Computer Vision and Pattern Recognition (127 citations). M.A. Viergever has collaborated with scholars based in Netherlands, Germany and United States. Frequent co-authors include Wiro J. Niessen, A. J. Hermans, Michael D. Abràmoff, A. van Rotterdam, Jan van den Ende, Peter W. A. Willems, O. Wink, Erik Meijering, Paul J. Nederkoorn and Alejandro F. Frangi. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, IEEE Transactions on Medical Imaging and Medical Image Analysis.
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.