Michael Wels
Impact in
- Health Informatics top 5%
-
- Radiomics and Machine Learning in Medical Imaging
Papers in
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- Radiomics and Machine Learning in Medical Imaging 9
- Cardiac Imaging and Diagnostics 6
- Medical Imaging Techniques and Applications 4
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- Advanced X-ray and CT Imaging 8
- Medical Imaging and Analysis 7
- Co-authors
- Michael Suehling (6 shared papers)Dorin Comaniciu (7 shared papers)Joachim Hornegger (5 shared papers)B. Michael Kelm (4 shared papers)Yefeng Zheng (3 shared papers)Martin Huber (4 shared papers)S. Kevin Zhou (1 shared paper)Gustavo Carneiro (2 shared papers)
- Journals
- Scientific Reports (2 papers)Journal of Thoracic Imaging (2 papers)European Radiology (2 papers)Frontiers in Oncology (2 papers)Radiology Artificial Intelligence (1 paper)
- Partner nations
- GermanyUnited StatesChina
In The Last Decade
Michael Wels
32 papers receiving 499 citations
Peers
Comparison fields: 5 of 67
- Health Informatics 33
- Radiology, Nuclear Medicine and Imaging 250
- Oral Surgery 47
- Computer Vision and Pattern Recognition 125
- Neurology 50
Countries citing papers authored by Michael Wels
This map shows the geographic impact of Michael Wels'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 Wels with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Wels more than expected).
Fields of papers citing papers by Michael Wels
This network shows the impact of papers produced by Michael Wels. 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 Wels. The network helps show where Michael Wels may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Wels, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 75 | |
| 2 | 2008 | 51 | |
| 3 | 2013 | 44 | |
| 4 | 2019 | 38 | |
| 5 | 2006 | 34 | |
| 6 | 2019 | 24 | |
| 7 | 2021 | 22 | |
| 8 | 2021 | 19 | |
| 9 | 2013 | 19 | |
| 10 | 2013 | 18 | |
| 11 | 2019 | 17 | |
| 12 | 2022 | 15 | |
| 13 | 2011 | 15 | |
| 14 | 2009 | 14 | |
| 15 | 2012 | 14 | |
| 16 | 2008 | 12 | |
| 17 | 2020 | 11 | |
| 18 | 2023 | 10 | |
| 19 | 2023 | 9 | |
| 20 | 2022 | 9 |
About Michael Wels
Michael Wels is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Computer Vision and Pattern Recognition, Surgery and Pulmonary and Respiratory Medicine, having authored 32 papers that have together received 513 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (9 papers), Radiomics and Machine Learning in Medical Imaging (9 papers), Advanced X-ray and CT Imaging (8 papers), Medical Imaging and Analysis (7 papers), Cardiac Imaging and Diagnostics (6 papers), Gastric Cancer Management and Outcomes (5 papers), Medical Imaging Techniques and Applications (4 papers) and Brain Tumor Detection and Classification (4 papers). The work is most often cited by research in Health Informatics (33 citations), Radiology, Nuclear Medicine and Imaging (250 citations), Oral Surgery (47 citations), Computer Vision and Pattern Recognition (125 citations) and Neurology (50 citations). Michael Wels has collaborated with scholars based in Germany, United States and China. Frequent co-authors include Michael Suehling, Dorin Comaniciu, Joachim Hornegger, B. Michael Kelm, Yefeng Zheng, Martin Huber, S. Kevin Zhou, Gustavo Carneiro, Sascha Seifert and Tong Fang. Their work appears in journals such as Scientific Reports, Journal of Thoracic Imaging, European Radiology, Frontiers in Oncology and Radiology Artificial Intelligence.
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.