Michael Graß
Impact in
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- Cardiac Imaging and Diagnostics
- COVID-19 diagnosis using AI
- Medical Imaging Techniques and Applications
- Radiation Dose and Imaging
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
Papers in
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- Cardiac Imaging and Diagnostics 43
- Medical Imaging Techniques and Applications 15
- Radiation Dose and Imaging 3
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- Medical Image Segmentation Techniques 15
- Co-authors
- Hannes Nickisch (11 shared papers)Tobias Knopp (5 shared papers)Axel Saalbach (3 shared papers)Ivo M. Baltruschat (3 shared papers)Dirk Schäfer (21 shared papers)Robert Manzke (4 shared papers)Andrik J. Aschoff (2 shared papers)Martin H K Hoffmann (3 shared papers)
- Journals
- Medical Physics (6 papers)European Radiology (4 papers)Academic Radiology (3 papers)Radiology (3 papers)Computerized Medical Imaging and Graphics (3 papers)
- Partner nations
- GermanyNetherlandsUnited States
In The Last Decade
Michael Graß
73 papers receiving 1.5k citations
Michael Graß's Hit Papers
Peers
Comparison fields: 5 of 77
- Radiology, Nuclear Medicine and Imaging 1.1k
- Health Informatics 100
- Computer Vision and Pattern Recognition 254
- Radiation 62
- Biomedical Engineering 225
Countries citing papers authored by Michael Graß
This map shows the geographic impact of Michael Graß'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 Michael Graß with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Graß more than expected).
Fields of papers citing papers by Michael Graß
This network shows the impact of papers produced by Michael Graß. 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 Michael Graß. The network helps show where Michael Graß may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Graß, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Comparison of Deep Learning Approaches for Multi-Label Chest X-Ray Classification Hit paper breakdown → | 2019 | 334 |
| 2 | 2005 | 223 | |
| 3 | 2016 | 98 | |
| 4 | 2019 | 68 | |
| 5 | 2020 | 65 | |
| 6 | 2010 | 60 | |
| 7 | 2008 | 48 | |
| 8 | 2008 | 48 | |
| 9 | 2011 | 45 | |
| 10 | 2005 | 40 | |
| 11 | 2009 | 39 | |
| 12 | 2014 | 35 | |
| 13 | 2010 | 29 | |
| 14 | 2015 | 26 | |
| 15 | 2006 | 21 | |
| 16 | 2003 | 20 | |
| 17 | 2011 | 20 | |
| 18 | 2008 | 19 | |
| 19 | 2019 | 19 | |
| 20 | 2006 | 17 |
About Michael Graß
Michael Graß is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Biomedical Engineering, Surgery and Radiation, having authored 75 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (43 papers), Advanced X-ray and CT Imaging (17 papers), Medical Imaging Techniques and Applications (15 papers), Medical Image Segmentation Techniques (15 papers), Coronary Interventions and Diagnostics (9 papers), Advanced X-ray Imaging Techniques (3 papers), Radiation Dose and Imaging (3 papers) and Cerebrovascular and Carotid Artery Diseases (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.1k citations), Health Informatics (100 citations), Computer Vision and Pattern Recognition (254 citations), Radiation (62 citations) and Biomedical Engineering (225 citations). Michael Graß has collaborated with scholars based in Germany, Netherlands and United States. Frequent co-authors include Hannes Nickisch, Tobias Knopp, Axel Saalbach, Ivo M. Baltruschat, Dirk Schäfer, Robert Manzke, Andrik J. Aschoff, Martin H K Hoffmann, Florian T. Schmid and Hans‐Jürgen Brambs. Their work appears in journals such as Medical Physics, European Radiology, Academic Radiology, Radiology and Computerized Medical Imaging and Graphics.
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.