Rolf Bippus

495 citations
20 papers · 345 · h-index 9

Impact in

Papers in

Rolf Bippus

19 papers receiving 323 citations

Peers

Rolf Bippus
Comparison fields: 5 of 57
  • Signal Processing 127
  • Radiology, Nuclear Medicine and Imaging 134
  • Computational Mechanics 61
  • Computer Vision and Pattern Recognition 57
  • Biomedical Engineering 116
Replace Sherif Abdulatif with:
Sherif Abdulatif Germany
Catherine Laporte Canada
Yun Zhu China
O. Basset France
S. R. Nirmala India
N. Suzumura Japan
Sasan Mahmoodi United Kingdom
Soochahn Lee South Korea
Abdelhani Boukrouche Algeria
Parisa Gifani Iran
Rolf Bippus relative to Sherif Abdulatif Germany Sherif Abdulatif's profile →
Citations per field
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Sherif Abdulatif · 1×
Citations per year

Countries citing papers authored by Rolf Bippus

Since Specialization
Citations

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

Fields of papers citing papers by Rolf Bippus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2002119
2 201742
3 201936
4 201835
5 201222
6 200214
7 200211
8 199911
9 201810
10 19998
11
Motion Estimation in Coronary CT Angiography Images using Convolutional Neural Networks
20186
12 20186
13
Cursive script recognition using semi continuous hidden Markov models in combination with simple features
19946
14 20194
15 20144
16
Projector and Backprojector for Iterative CT Reconstruction with Blobs using CUDA
20114
17 20213
18 20063
19 20171
20 20020

About Rolf Bippus

Rolf Bippus is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 20 papers that have together received 345 indexed citations. Recurring topics across this work include Advanced X-ray and CT Imaging (11 papers), Medical Imaging Techniques and Applications (7 papers), Radiation Dose and Imaging (7 papers), Speech Recognition and Synthesis (5 papers), Handwritten Text Recognition Techniques (4 papers), Speech and Audio Processing (3 papers), Natural Language Processing Techniques (3 papers) and Music and Audio Processing (3 papers). The work is most often cited by research in Signal Processing (127 citations), Radiology, Nuclear Medicine and Imaging (134 citations), Computational Mechanics (61 citations), Computer Vision and Pattern Recognition (57 citations) and Biomedical Engineering (116 citations). Rolf Bippus has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Alexander Fischer, Hannes Nickisch, Tobias Wissel, Michael M. Morlock, Holger Schmitt, M. Graß, Volker Märgner, Felix K. Kopp, Peter B. Noël and Ernst J. Rummeny. Their work appears in journals such as European Radiology, Osteoporosis International, European Journal of Radiology, Journal of Computer Assisted Tomography and Medical Image Analysis.

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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