T. Vik
Impact in
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- Advanced Radiotherapy Techniques
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- Medical Imaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
Papers in
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- Medical Imaging Techniques and Applications 6
- Radiomics and Machine Learning in Medical Imaging 3
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- Medical Image Segmentation Techniques 5
- Co-authors
- Fabrice Heitz (4 shared papers)Tobias Klinder (2 shared papers)Pierre Charbonnier (2 shared papers)Sebastian P. M. Dries (1 shared paper)Jens von Berg (1 shared paper)Christian D. Lorenz (1 shared paper)Sven Kabus (1 shared paper)Uulke A. van der Heide (1 shared paper)
In The Last Decade
T. Vik
14 papers receiving 95 citations
Peers
Comparison fields: 5 of 34
- Radiation 26
- Radiology, Nuclear Medicine and Imaging 35
- Computer Vision and Pattern Recognition 35
- Nuclear and High Energy Physics 13
- Health Informatics 1
Countries citing papers authored by T. Vik
This map shows the geographic impact of T. Vik'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 T. Vik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Vik more than expected).
Fields of papers citing papers by T. Vik
This network shows the impact of papers produced by T. Vik. 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 T. Vik. The network helps show where T. Vik may publish in the future.
Co-authors
The 25 scholars most cited alongside T. Vik, 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 | 2008 | 24 | |
| 2 | 2017 | 21 | |
| 3 | 2004 | 15 | |
| 4 | 2007 | 10 | |
| 5 | 2008 | 9 | |
| 6 | 2004 | 7 | |
| 7 | 2012 | 4 | |
| 8 | 2003 | 4 | |
| 9 | 2010 | 2 | |
| 10 | 2004 | 1 | |
| 11 | 2015 | 1 | |
| 12 | 2009 | 1 | |
| 13 | 2004 | 1 | |
| 14 | 2012 | 1 | |
| 15 | 2016 | 0 | |
| 16 | 2004 | 0 |
About T. Vik
T. Vik is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Computer Networks and Communications, Nuclear and High Energy Physics and Pulmonary and Respiratory Medicine, having authored 16 papers that have together received 101 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (6 papers), Medical Image Segmentation Techniques (5 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Particle Detector Development and Performance (3 papers), Advanced Radiotherapy Techniques (2 papers), Particle physics theoretical and experimental studies (2 papers), Medical Imaging and Analysis (2 papers) and Advanced Data Storage Technologies (2 papers). The work is most often cited by research in Radiation (26 citations), Radiology, Nuclear Medicine and Imaging (35 citations), Computer Vision and Pattern Recognition (35 citations), Nuclear and High Energy Physics (13 citations) and Health Informatics (1 citation). T. Vik has collaborated with scholars based in Germany, France and Norway. Frequent co-authors include Fabrice Heitz, Tobias Klinder, Pierre Charbonnier, Sebastian P. M. Dries, Jens von Berg, Christian D. Lorenz, Sven Kabus, Uulke A. van der Heide, Ghazaleh Ghobadi and Cuong V. Dinh. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, The European Physical Journal C, Physics in Medicine and Biology, Radiotherapy and Oncology and NeuroImage.
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.