U. Scheipers
Impact in
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- Ultrasound Imaging and Elastography
- Radiomics and Machine Learning in Medical Imaging
- Biophysics top 10%
- Spectroscopy Techniques in Biomedical and Chemical Research
Papers in
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- Ultrasound Imaging and Elastography 10
- Radiomics and Machine Learning in Medical Imaging 5
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- Ultrasound and Hyperthermia Applications 5
- Photoacoustic and Ultrasonic Imaging 4
- Co-authors
- H. Ermert (27 shared papers)Theodor Senge (12 shared papers)A. Pesavento (7 shared papers)A. Lorenz (7 shared papers)Katharina König (4 shared papers)Stathis Philippou (2 shared papers)H.-J. Sommerfeld (8 shared papers)S. Philippou (6 shared papers)
In The Last Decade
U. Scheipers
30 papers receiving 474 citations
Peers
Comparison fields: 5 of 64
- Radiology, Nuclear Medicine and Imaging 269
- Biophysics 49
- Pulmonary and Respiratory Medicine 119
- Biomedical Engineering 156
- Computer Vision and Pattern Recognition 64
Countries citing papers authored by U. Scheipers
This map shows the geographic impact of U. Scheipers'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 U. Scheipers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites U. Scheipers more than expected).
Fields of papers citing papers by U. Scheipers
This network shows the impact of papers produced by U. Scheipers. 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 U. Scheipers. The network helps show where U. Scheipers may publish in the future.
Co-authors
The 25 scholars most cited alongside U. Scheipers, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 215 | |
| 2 | 2003 | 81 | |
| 3 | 2005 | 29 | |
| 4 | 2002 | 25 | |
| 5 | 2010 | 23 | |
| 6 | 2005 | 22 | |
| 7 | 2003 | 16 | |
| 8 | 2005 | 12 | |
| 9 | 2005 | 10 | |
| 10 | 2005 | 9 | |
| 11 | 2005 | 7 | |
| 12 | 2008 | 7 | |
| 13 | 2003 | 6 | |
| 14 | 2001 | 6 | |
| 15 | In Vivo Imaging of Coagulated Tissue | 2006 | 5 |
| 16 | 2009 | 4 | |
| 17 | 2002 | 4 | |
| 18 | 2004 | 3 | |
| 19 | 2005 | 3 | |
| 20 | 2006 | 3 |
About U. Scheipers
U. Scheipers is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Computer Vision and Pattern Recognition, Biophysics and Artificial Intelligence, having authored 30 papers that have together received 507 indexed citations. Recurring topics across this work include Ultrasound Imaging and Elastography (10 papers), Medical Image Segmentation Techniques (8 papers), Spectroscopy Techniques in Biomedical and Chemical Research (8 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), AI in cancer detection (5 papers), Ultrasound and Hyperthermia Applications (5 papers), Photoacoustic and Ultrasonic Imaging (4 papers) and Spectroscopy and Chemometric Analyses (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (269 citations), Biophysics (49 citations), Pulmonary and Respiratory Medicine (119 citations), Biomedical Engineering (156 citations) and Computer Vision and Pattern Recognition (64 citations). U. Scheipers has collaborated with scholars based in Germany and Japan. Frequent co-authors include H. Ermert, Theodor Senge, A. Pesavento, A. Lorenz, Katharina König, Stathis Philippou, H.-J. Sommerfeld, S. Philippou, C. Perrey and Christian Hansen. Their work appears in journals such as The Journal of Urology, Ultrasound in Medicine & Biology, Ultrasonic Imaging, The Journal of the Acoustical Society of America and IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control.
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.