Michael Sühling

981 citations
30 papers · 644 · h-index 12

Impact in

Papers in

Michael Sühling

28 papers receiving 618 citations

Peers

Michael Sühling
Comparison fields: 5 of 72
  • Radiology, Nuclear Medicine and Imaging 396
  • Computer Vision and Pattern Recognition 199
  • Cardiology and Cardiovascular Medicine 147
  • Hepatology 47
  • Health Informatics 6
Replace Michael Suehling with:
Michael Suehling Germany
Outi Sipilä Finland
Max Schöbinger Germany
Vincent Agnus France
Tobias Kunert Germany
Michael Schwier Germany
Mark Hastenteufel Germany
Thomas Böttger Germany
Ingmar Wegner Germany
Aaron Fenster Canada
Michael Sühling relative to Michael Suehling Germany Michael Suehling's profile →
Citations per field
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Citations per year

Countries citing papers authored by Michael Sühling

Since Specialization
Citations

This map shows the geographic impact of Michael Sühling'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 Sühling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Sühling more than expected).

Fields of papers citing papers by Michael Sühling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Sühling. 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 Sühling. The network helps show where Michael Sühling may publish in the future.

Co-authors

The 25 scholars most cited alongside Michael Sühling, 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 Michael Sühling Line = papers co-authored together Michael Sühling links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005193
2 200593
3 200850
4 200544
5 200739
6 202032
7 200431
8 200421
9 202217
10 202015
11 201214
12 202011
13 200311
14 201010
15 20038
16 20217
17 20037
18 20167
19 20236
20 20036

About Michael Sühling

Michael Sühling is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Biomedical Engineering, Surgery and Cardiology and Cardiovascular Medicine, having authored 30 papers that have together received 644 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (9 papers), Medical Imaging Techniques and Applications (8 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Coronary Interventions and Diagnostics (6 papers), Image and Signal Denoising Methods (6 papers), Hepatocellular Carcinoma Treatment and Prognosis (5 papers), Advanced X-ray and CT Imaging (5 papers) and Ultrasound Imaging and Elastography (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (396 citations), Computer Vision and Pattern Recognition (199 citations), Cardiology and Cardiovascular Medicine (147 citations), Hepatology (47 citations) and Health Informatics (6 citations). Michael Sühling has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Michaël Unser, Patrick Hunziker, Muthuvel Arigovindan, Christian Jansen, María J. Ledesma‐Carbayo, Manuel Desco, Jan Kybic, A. Santos, Andreas H. Mahnken and Florian F. Behrendt. Their work appears in journals such as IEEE Transactions on Image Processing, Scientific Reports, International Journal of Computer Assisted Radiology and Surgery, European Radiology and IEEE Transactions on Medical Imaging.

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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