Rudolf Stollberger

5.0k citations
181 papers · 3.8k indexed · 1 hit paper · h-index 28

Rudolf Stollberger

170 papers receiving 3.7k citations

Hit Papers

Second order total generalized variation (TGV) for MRI4312010202620152020100200300400

Peers

Rudolf Stollberger
Comparison fields: 5 of 159
  • Radiology, Nuclear Medicine and Imaging 2.5k
  • Orthopedics and Sports Medicine 216
  • Biophysics 141
  • Computational Mathematics 13
  • Computer Vision and Pattern Recognition 317
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Diego Hernando United States
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Jianhui Zhong United States
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Berthold Kiefer Germany
Berkin Bilgic̦ United States
Yu‐Chung N. Cheng United States
Jianmin Wang China
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Citations per field
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Citations per year

Countries citing papers authored by Rudolf Stollberger

Since Specialization
Citations

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

Fields of papers citing papers by Rudolf Stollberger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20241
3 20240
4 20234
5 20191
6 201913
7 20185
8 201812
9 201222
10 20108
11 20078
12
Extracting morphology models of atherosclerotic arteries from MR images
20021
13
Advances in contrast-enhanced MR-angiography:Indications and limitations
20022
14 2002234
15 200014
16 20001
17 199910
18
Automated tissue classification of extremities using knowledge-based segmentation of MR images.
19972
19
Improving the diagnostic reliability of dynamic MR-mammography - ROI vs. pixel-by-pixel evaluation.
19972
20 1995198

About Rudolf Stollberger

Rudolf Stollberger is a scholar working on Radiology, Nuclear Medicine and Imaging, Biophysics and Nuclear and High Energy Physics, having authored 181 papers that have together received 3.8k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (98 papers), Advanced Neuroimaging Techniques and Applications (40 papers), Medical Imaging Techniques and Applications (26 papers), MRI in cancer diagnosis (21 papers), NMR spectroscopy and applications (15 papers), Advanced NMR Techniques and Applications (14 papers), Electron Spin Resonance Studies (10 papers) and Cardiac Imaging and Diagnostics (9 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (2.5k citations), Orthopedics and Sports Medicine (216 citations) and Biophysics (141 citations). Rudolf Stollberger has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Paul Wach, Franz Fazekas, Kristian Bredies, Florian Knöll, Michael Augustin, Roland Bammer, Thomas Pock, Stephen L. Keeling, Hans‐Peter Hartung and Franz Ebner. Their work appears in journals such as Magnetic Resonance in Medicine, Journal of Magnetic Resonance Imaging, IEEE Transactions on Magnetics, NeuroImage and International Journal of Legal Medicine.

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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