Theo van Walsum
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- Medical Imaging Techniques and Applications 32
- Cardiac Imaging and Diagnostics 29
- Advanced MRI Techniques and Applications 24
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- Medical Image Segmentation Techniques 57
- Biomedical Engineering top 2%
- Medical Imaging and Analysis 20
- Radiation top 5%
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- Cerebrovascular and Carotid Artery Diseases 46
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- Coronary Interventions and Diagnostics 20
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- Acute Ischemic Stroke Management 18
- Co-authors
- Wiro J. NiessenMichiel SchaapCoert MetzStefan KleinEverine B. van de KraatsMax A. ViergeverNóra BakaAdriaan Moelker
- Cited by
- Radiology, Nuclear Medicine and ImagingComputer Vision and Pattern RecognitionComputer Graphics and Computer-Aided Design
- Journals
- SHILAP Revista de lepidopterología (1 paper)PLoS ONE (1 paper)Spine (5 papers)
- Partner nations
- NetherlandsUnited StatesVietnam
In The Last Decade
Theo van Walsum
177 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 138
- Radiology, Nuclear Medicine and Imaging 1.8k
- Computer Vision and Pattern Recognition 1.4k
- Computer Graphics and Computer-Aided Design 140
- Biomedical Engineering 1.3k
- Radiation 240
Countries citing papers authored by Theo van Walsum
This map shows the geographic impact of Theo van Walsum'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 Theo van Walsum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Theo van Walsum more than expected).
Fields of papers citing papers by Theo van Walsum
This network shows the impact of papers produced by Theo van Walsum. 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 Theo van Walsum. The network helps show where Theo van Walsum may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Theo van Walsum, 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 | 2025 | 1 | |
| 2 | 2024 | 5 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 4 | |
| 5 | 2023 | 5 | |
| 6 | 2022 | 5 | |
| 7 | 2022 | 6 | |
| 8 | 2022 | 11 | |
| 9 | 2022 | 10 | |
| 10 | 2021 | 25 | |
| 11 | 2021 | 5 | |
| 12 | 2020 | 16 | |
| 13 | Deep learning-based retinal vessel segmentation with cross-modal evaluation | 2020 | 3 |
| 14 | 2020 | 31 | |
| 15 | Multi modal and multi scale retinal imaging with and without adaptive optics for clinical settings | 2020 | 1 |
| 16 | 2016 | 6 | |
| 17 | 2015 | 33 | |
| 18 | 2014 | 44 | |
| 19 | 2011 | 44 | |
| 20 | 2010 | 8 |
About Theo van Walsum
Theo van Walsum is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 183 papers that have together received 3.8k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (57 papers), Cerebrovascular and Carotid Artery Diseases (46 papers), Medical Imaging Techniques and Applications (32 papers), Cardiac Imaging and Diagnostics (29 papers), Advanced MRI Techniques and Applications (24 papers), Coronary Interventions and Diagnostics (20 papers), Medical Imaging and Analysis (20 papers) and Acute Ischemic Stroke Management (18 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.8k citations), Computer Vision and Pattern Recognition (1.4k citations) and Computer Graphics and Computer-Aided Design (140 citations). Theo van Walsum has collaborated with scholars based in Netherlands, United States and Vietnam. Frequent co-authors include Wiro J. Niessen, Michiel Schaap, Coert Metz, Stefan Klein, Everine B. van de Kraats, Max A. Viergever, Nóra Baka, Adriaan Moelker, Aad van der Lugt and Romhild M. Hoogeveen. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Spine.
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.