C. van Wijk
Impact in
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- Medical Image Segmentation Techniques
- Image Retrieval and Classification Techniques
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- Radiomics and Machine Learning in Medical Imaging
Papers in
- Oncology 5
- Colorectal Cancer Screening and Detection 5
- Colorectal Cancer Surgical Treatments 2
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- Radiomics and Machine Learning in Medical Imaging 5
- Co-authors
- Vincent F. van Ravesteijn (4 shared papers)Lucas J. van Vliet (5 shared papers)Frans M. Vos (4 shared papers)Roel Truyen (3 shared papers)Jaap Stoker (3 shared papers)Fulvio Scarano (3 shared papers)Leo L. Veldhuis (2 shared papers)Joost F. Peters (1 shared paper)
- Journals
- IEEE Transactions on Medical Imaging (2 papers)Experiments in Fluids (1 paper)American Journal of Roentgenology (1 paper)Lecture notes in computer science (3 papers)
- Partner nations
- NetherlandsUnited States
In The Last Decade
C. van Wijk
9 papers receiving 267 citations
Peers
Comparison fields: 5 of 70
- Computer Vision and Pattern Recognition 110
- Radiology, Nuclear Medicine and Imaging 102
- Oncology 100
- Computer Graphics and Computer-Aided Design 7
- Gastroenterology 9
Countries citing papers authored by C. van Wijk
This map shows the geographic impact of C. van Wijk'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 C. van Wijk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. van Wijk more than expected).
Fields of papers citing papers by C. van Wijk
This network shows the impact of papers produced by C. van Wijk. 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 C. van Wijk. The network helps show where C. van Wijk may publish in the future.
Co-authors
The 14 scholars most cited alongside C. van Wijk, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 114 | |
| 2 | 2010 | 49 | |
| 3 | 2009 | 46 | |
| 4 | 2002 | 21 | |
| 5 | 2005 | 19 | |
| 6 | 2006 | 18 | |
| 7 | 2008 | 8 | |
| 8 | 2003 | 4 | |
| 9 | Vortex Wake investigation of an Airbus A340 model using PIV in a towing tank: Part 1 TU measurements | 2001 | 1 |
About C. van Wijk
C. van Wijk is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging, Computational Mechanics, Computer Vision and Pattern Recognition and Ocean Engineering, having authored 9 papers that have together received 280 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (5 papers), Colorectal Cancer Screening and Detection (5 papers), Colorectal Cancer Surgical Treatments (2 papers), Particle Dynamics in Fluid Flows (2 papers), Medical Image Segmentation Techniques (2 papers), Fluid Dynamics and Turbulent Flows (2 papers), Computational Fluid Dynamics and Aerodynamics (2 papers) and AI in cancer detection (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (110 citations), Radiology, Nuclear Medicine and Imaging (102 citations), Oncology (100 citations), Computer Graphics and Computer-Aided Design (7 citations) and Gastroenterology (9 citations). C. van Wijk has collaborated with scholars based in Netherlands and United States. Frequent co-authors include Vincent F. van Ravesteijn, Lucas J. van Vliet, Frans M. Vos, Roel Truyen, Jaap Stoker, Fulvio Scarano, Leo L. Veldhuis, Joost F. Peters, Ayso H. de Vries and Jasper Florie. Their work appears in journals such as IEEE Transactions on Medical Imaging, Experiments in Fluids, American Journal of Roentgenology and Lecture notes in computer science.
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.