U. Scheipers

622 citations
24 papers · 436 indexed · h-index 8

Impact in

Papers in

U. Scheipers

23 papers receiving 417 citations

Peers

U. Scheipers
Comparison fields: 5 of 67
  • Radiology, Nuclear Medicine and Imaging 281
  • Biophysics 55
  • Biomedical Engineering 183
  • Pulmonary and Respiratory Medicine 114
  • Computer Vision and Pattern Recognition 60
Replace Michael Astor with:
Michael Astor United States
Mykola M. Yaremko United States
Jing Bai China
M. Ostromogilsky United States
Adolf Lorenz Germany
Ben Glover United Kingdom
Marlies Fleck Germany
Marianne Maktabi Germany
R.G. Aarnink Netherlands
Maysam Shahedi United States
U. Scheipers relative to Michael Astor United States Michael Astor's profile →
Citations per field
00.5×4.2×
Michael Astor · 1×
Citations per year

Countries citing papers authored by U. Scheipers

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with U. Scheipers Line = papers co-authored together U. Scheipers links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005202
2 200371
3 200526
4 200521
5 201021
6 200218
7 200313
8 200511
9 20087
10 20057
11 20056
12 20056
13 20015
14 20034
15
In Vivo Imaging of Coagulated Tissue
20064
16 20063
17 20023
18 20062
19 20042
20 20071

About U. Scheipers

U. Scheipers is a scholar working on Biophysics, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Analytical Chemistry and Internal Medicine, having authored 24 papers that have together received 436 indexed citations. Recurring topics across this work include Spectroscopy Techniques in Biomedical and Chemical Research (8 papers), Medical Image Segmentation Techniques (8 papers), Ultrasound Imaging and Elastography (7 papers), AI in cancer detection (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Photoacoustic and Ultrasonic Imaging (3 papers), Spectroscopy and Chemometric Analyses (3 papers) and Ultrasound and Hyperthermia Applications (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (281 citations), Biophysics (55 citations), Biomedical Engineering (183 citations), Pulmonary and Respiratory Medicine (114 citations) and Computer Vision and Pattern Recognition (60 citations). U. Scheipers has collaborated with scholars based in Germany. Frequent co-authors include H. Ermert, Theodor Senge, A. Pesavento, A. Lorenz, Katharina König, Stathis Philippou, H.-J. Sommerfeld, C. Perrey, Christian Hansen and S. Philippou. Their work appears in journals such as The Journal of Urology, Ultrasound in Medicine & Biology, Ultrasonic Imaging, Cancer Biomarkers and The Journal of the Acoustical Society of America.

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.

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