Michael Suehling
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- Health Informatics top 10%
Papers in
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- Radiomics and Machine Learning in Medical Imaging 9
- Medical Imaging Techniques and Applications 5
- Radiation Dose and Imaging 4
- MRI in cancer diagnosis 3
- Co-authors
- Dorin ComaniciuMichael WelsBogdan GeorgescuYefeng ZhengAdrian BarbuS. Kevin ZhouDavid LiuSascha Seifert
- Journals
- European Radiology (2 papers)RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren (2 papers)Investigative Radiology (1 paper)IEEE Transactions on Visualization and Computer Graphics (1 paper)Academic Radiology (1 paper)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Michael Suehling
26 papers receiving 711 citations
Peers
Comparison fields: 5 of 69
- Radiology, Nuclear Medicine and Imaging 365
- Health Informatics 19
- Computer Vision and Pattern Recognition 212
- Oral Surgery 60
- Biomedical Engineering 276
Countries citing papers authored by Michael Suehling
This map shows the geographic impact of Michael Suehling'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 Suehling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Suehling more than expected).
Fields of papers citing papers by Michael Suehling
This network shows the impact of papers produced by Michael Suehling. 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 Suehling. The network helps show where Michael Suehling may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael Suehling, 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 | 2024 | 0 | |
| 2 | 2020 | 3 | |
| 3 | 2017 | 1 | |
| 4 | 2016 | 3 | |
| 5 | 2013 | 26 | |
| 6 | 2013 | 18 | |
| 7 | 2013 | 44 | |
| 8 | 2012 | 75 | |
| 9 | 2012 | 6 | |
| 10 | 2011 | 63 | |
| 11 | 2011 | 94 | |
| 12 | 2010 | 26 | |
| 13 | 2009 | 9 | |
| 14 | 2009 | 32 | |
| 15 | 2009 | 91 | |
| 16 | 2008 | 9 | |
| 17 | 2008 | 15 | |
| 18 | 2008 | 1 | |
| 19 | 2007 | 7 | |
| 20 | 2003 | 1 |
About Michael Suehling
Michael Suehling is a scholar working on Radiology, Nuclear Medicine and Imaging, Oral Surgery, Computer Vision and Pattern Recognition, Radiation and Computer Graphics and Computer-Aided Design, having authored 28 papers that have together received 727 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (9 papers), AI in cancer detection (8 papers), Medical Image Segmentation Techniques (7 papers), Medical Imaging and Analysis (6 papers), Medical Imaging Techniques and Applications (5 papers), Radiation Dose and Imaging (4 papers), MRI in cancer diagnosis (3 papers) and Aortic Disease and Treatment Approaches (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (365 citations), Health Informatics (19 citations), Computer Vision and Pattern Recognition (212 citations), Oral Surgery (60 citations) and Biomedical Engineering (276 citations). Michael Suehling has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Dorin Comaniciu, Michael Wels, Bogdan Georgescu, Yefeng Zheng, Adrian Barbu, S. Kevin Zhou, David Liu, Sascha Seifert, Alexander Cavallaro and Haibin Ling. Their work appears in journals such as European Radiology, RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren, Investigative Radiology, IEEE Transactions on Visualization and Computer Graphics and Academic Radiology.
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.