Daniel Rinck
Impact in
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- Cardiac Imaging and Diagnostics
- Advanced MRI Techniques and Applications
- Medical Imaging Techniques and Applications
- Radiation Dose and Imaging
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- Medical Image Segmentation Techniques
Papers in ⓘ
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- Medical Image Segmentation Techniques 6
- Digital Image Processing Techniques 2
- Advanced Neural Network Applications 2
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- Cardiac Imaging and Diagnostics 3
- Medical Imaging Techniques and Applications 2
- Radiation Dose and Imaging 2
- Co-authors
- Michael Scheuering (6 shared papers)Tobias Boskamp (2 shared papers)Dominik Fritz (3 shared papers)Peter Mildenberger (1 shared paper)Florian Link (1 shared paper)Georg Stamm (1 shared paper)Thomas Flohr (2 shared papers)Anja Reimann (3 shared papers)
- Journals
- European Radiology (2 papers)Investigative Radiology (1 paper)International journal of cardiac imaging (1 paper)Radiographics (1 paper)International Congress Series (1 paper)
- Partner nations
- GermanyUnited KingdomCanada
In The Last Decade
Daniel Rinck
10 papers receiving 371 citations
Peers
Comparison fields: 5 of 45
- Radiology, Nuclear Medicine and Imaging 243
- Computer Vision and Pattern Recognition 150
- Cardiology and Cardiovascular Medicine 78
- Biomedical Engineering 147
- Computer Graphics and Computer-Aided Design 10
Countries citing papers authored by Daniel Rinck
This map shows the geographic impact of Daniel Rinck'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 Daniel Rinck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Rinck more than expected).
Fields of papers citing papers by Daniel Rinck
This network shows the impact of papers produced by Daniel Rinck. 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 Daniel Rinck. The network helps show where Daniel Rinck may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Rinck, 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 | 2004 | 82 | |
| 2 | 2005 | 74 | |
| 3 | 2007 | 54 | |
| 4 | 2006 | 48 | |
| 5 | 2005 | 41 | |
| 6 | 2006 | 24 | |
| 7 | 2002 | 21 | |
| 8 | 2005 | 21 | |
| 9 | 2008 | 15 | |
| 10 | 2006 | 9 |
About Daniel Rinck
Daniel Rinck is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Signal Processing and Biomedical Engineering, having authored 10 papers that have together received 389 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (6 papers), Cardiac Imaging and Diagnostics (3 papers), Cerebrovascular and Carotid Artery Diseases (3 papers), Medical Imaging Techniques and Applications (2 papers), Advanced X-ray and CT Imaging (2 papers), Digital Image Processing Techniques (2 papers), Advanced Neural Network Applications (2 papers) and Radiation Dose and Imaging (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (243 citations), Computer Vision and Pattern Recognition (150 citations), Cardiology and Cardiovascular Medicine (78 citations), Biomedical Engineering (147 citations) and Computer Graphics and Computer-Aided Design (10 citations). Daniel Rinck has collaborated with scholars based in Germany, United Kingdom and Canada. Frequent co-authors include Michael Scheuering, Tobias Boskamp, Dominik Fritz, Peter Mildenberger, Florian Link, Georg Stamm, Thomas Flohr, Anja Reimann, Christian Knackstedt and Andreas H. Mahnken. Their work appears in journals such as European Radiology, Investigative Radiology, International journal of cardiac imaging, Radiographics and International Congress Series.
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.