Daniel Rinck
Impact in
-
- Cardiac Imaging and Diagnostics
- Medical Imaging Techniques and Applications
- Advanced MRI Techniques and Applications
-
- Medical Image Segmentation Techniques
Papers in
-
- Medical Image Segmentation Techniques 6
- Digital Image Processing Techniques 2
- Advanced Neural Network Applications 2
-
- Cardiac Imaging and Diagnostics 3
- Medical Imaging Techniques and Applications 2
- Retinal Imaging and Analysis 1
- Co-authors
- Michael Scheuering (6 shared papers)Tobias Boskamp (2 shared papers)Dominik K. Fritz (3 shared papers)Georg Stamm (1 shared paper)Peter Mildenberger (1 shared paper)Florian Link (1 shared paper)Thomas G. Flohr (2 shared papers)Gareth Funka-Lea (1 shared paper)
- Journals
- European Radiology (2 papers)International journal of cardiac imaging (1 paper)Investigative Radiology (1 paper)Radiographics (1 paper)Informatik aktuell (1 paper)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Daniel Rinck
11 papers receiving 432 citations
Peers
Comparison fields: 5 of 44
- Radiology, Nuclear Medicine and Imaging 212
- Computer Vision and Pattern Recognition 185
- Pulmonary and Respiratory Medicine 90
- Computer Graphics and Computer-Aided Design 11
- Cardiology and Cardiovascular Medicine 56
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 | 95 | |
| 2 | 2005 | 81 | |
| 3 | 2006 | 63 | |
| 4 | 2007 | 56 | |
| 5 | 2005 | 53 | |
| 6 | 2006 | 28 | |
| 7 | 2005 | 25 | |
| 8 | 2002 | 22 | |
| 9 | 2008 | 16 | |
| 10 | 2006 | 10 | |
| 11 | 1999 | 1 | |
| 12 | 2023 | 0 |
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 Computational Mechanics, having authored 12 papers that have together received 450 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), Digital Image Processing Techniques (2 papers), Advanced Neural Network Applications (2 papers), Retinal Imaging and Analysis (1 paper) and Machine Fault Diagnosis Techniques (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (212 citations), Computer Vision and Pattern Recognition (185 citations), Pulmonary and Respiratory Medicine (90 citations), Computer Graphics and Computer-Aided Design (11 citations) and Cardiology and Cardiovascular Medicine (56 citations). Daniel Rinck has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Michael Scheuering, Tobias Boskamp, Dominik K. Fritz, Georg Stamm, Peter Mildenberger, Florian Link, Thomas G. Flohr, Gareth Funka-Lea, Marie‐Pierre Jolly and Yuri Boykov. Their work appears in journals such as European Radiology, International journal of cardiac imaging, Investigative Radiology, Radiographics and Informatik aktuell.
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.