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 Image Segmentation Techniques 5
- Advanced Image and Video Retrieval Techniques 2
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- Medical Imaging Techniques and Applications 5
- Radiomics and Machine Learning in Medical Imaging 3
- Co-authors
- Fabrice Heitz (3 shared papers)Sven Kabus (1 shared paper)Christian D. Lorenz (1 shared paper)Pierre Charbonnier (2 shared papers)Tobias Klinder (2 shared papers)Jens von Berg (1 shared paper)Sebastian P. M. Dries (1 shared paper)Ghazaleh Ghobadi (1 shared paper)
In The Last Decade
T. Vik
13 papers receiving 80 citations
Peers
Comparison fields: 5 of 31
- Radiation 24
- Radiology, Nuclear Medicine and Imaging 39
- Computer Vision and Pattern Recognition 32
- Nuclear and High Energy Physics 13
- Computer Graphics and Computer-Aided Design 2
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 | 19 | |
| 2 | 2017 | 17 | |
| 3 | 2004 | 15 | |
| 4 | 2007 | 9 | |
| 5 | 2008 | 7 | |
| 6 | 2004 | 7 | |
| 7 | 2012 | 4 | |
| 8 | 2010 | 2 | |
| 9 | 2004 | 1 | |
| 10 | 2015 | 1 | |
| 11 | 2009 | 1 | |
| 12 | 2004 | 1 | |
| 13 | 2012 | 1 | |
| 14 | 2016 | 0 | |
| 15 | 2004 | 0 |
About T. Vik
T. Vik is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Nuclear and High Energy Physics, Radiation and Oral Surgery, having authored 15 papers that have together received 85 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (5 papers), Medical Image Segmentation Techniques (5 papers), Particle Detector Development and Performance (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Advanced Radiotherapy Techniques (2 papers), Advanced Data Storage Technologies (2 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Medical Imaging and Analysis (2 papers). The work is most often cited by research in Radiation (24 citations), Radiology, Nuclear Medicine and Imaging (39 citations), Computer Vision and Pattern Recognition (32 citations), Nuclear and High Energy Physics (13 citations) and Computer Graphics and Computer-Aided Design (2 citations). T. Vik has collaborated with scholars based in Germany, France and Norway. Frequent co-authors include Fabrice Heitz, Sven Kabus, Christian D. Lorenz, Pierre Charbonnier, Tobias Klinder, Jens von Berg, Sebastian P. M. Dries, Ghazaleh Ghobadi, Steffen Renisch and Heinrich Schulz. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Radiotherapy and Oncology, The European Physical Journal C, NeuroImage and Journal of Physics G Nuclear and Particle Physics.
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.