Rolf Bippus

499 citations
21 papers · 379 · h-index 10

Impact in

Papers in

Rolf Bippus

21 papers receiving 356 citations

Peers

Rolf Bippus
Comparison fields: 5 of 57
  • Signal Processing 139
  • Radiology, Nuclear Medicine and Imaging 107
  • Computational Mechanics 67
  • Computer Vision and Pattern Recognition 62
  • Artificial Intelligence 95
Replace Sherif Abdulatif with:
Sherif Abdulatif Germany
Yun Zhu China
Catherine Laporte Canada
Sasan Mahmoodi United Kingdom
Parisa Gifani Iran
Tian Ye China
Trung Hieu Nguyen United States
Rolf Vetter Switzerland
Chen Ye Japan
Marion Semmler Germany
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Citations per field
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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

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002126
2 201744
3 201840
4 201938
5 201225
6 200215
7 200215
8 199913
9 201810
10 199910
11
Cursive script recognition using semi continuous hidden Markov models in combination with simple features
19948
12
Motion Estimation in Coronary CT Angiography Images using Convolutional Neural Networks
20186
13 20186
14 20145
15 20194
16
Projector and Backprojector for Iterative CT Reconstruction with Blobs using CUDA
20114
17 20213
18 20063
19 20022
20 20171

About Rolf Bippus

Rolf Bippus is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Biomedical Engineering, Computer Vision and Pattern Recognition and Signal Processing, having authored 21 papers that have together received 379 indexed citations. Recurring topics across this work include Advanced X-ray and CT Imaging (6 papers), Medical Imaging Techniques and Applications (6 papers), Speech Recognition and Synthesis (5 papers), Handwritten Text Recognition Techniques (4 papers), Natural Language Processing Techniques (4 papers), Music and Audio Processing (3 papers), Radiation Dose and Imaging (3 papers) and Speech and Audio Processing (3 papers). The work is most often cited by research in Signal Processing (139 citations), Radiology, Nuclear Medicine and Imaging (107 citations), Computational Mechanics (67 citations), Computer Vision and Pattern Recognition (62 citations) and Artificial Intelligence (95 citations). Rolf Bippus has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Alexander Fischer, Tobias Wissel, Michael M. Morlock, Hannes Nickisch, M. Graß, Holger Schmitt, Volker Märgner, Ernst J. Rummeny, Peter B. Noël and Kai Mei. Their work appears in journals such as European Radiology, JACC. Cardiovascular imaging, Computerized Medical Imaging and Graphics, 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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