Rolf Bippus

495 total citations
20 papers, 345 citations indexed

About

Rolf Bippus is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Rolf Bippus has authored 20 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Biomedical Engineering and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Rolf Bippus's work include Advanced X-ray and CT Imaging (11 papers), Medical Imaging Techniques and Applications (7 papers) and Radiation Dose and Imaging (7 papers). Rolf Bippus is often cited by papers focused on Advanced X-ray and CT Imaging (11 papers), Medical Imaging Techniques and Applications (7 papers) and Radiation Dose and Imaging (7 papers). Rolf Bippus collaborates with scholars based in Germany, United States and Netherlands. Rolf Bippus's co-authors include Alexander Fischer, Hannes Nickisch, Michael M. Morlock, Tobias Wissel, M. Graß, Holger Schmitt, Volker Märgner, Ernst J. Rummeny, Peter B. Noël and Felix K. Kopp and has published in prestigious journals such as Osteoporosis International, Medical Image Analysis and European Radiology.

In The Last Decade

Rolf Bippus

19 papers receiving 323 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Rolf Bippus Germany 9 134 127 116 83 61 20 345
Sherif Abdulatif Germany 9 55 0.4× 106 0.8× 40 0.3× 88 1.1× 33 0.5× 14 254
Catherine Laporte Canada 11 78 0.6× 39 0.3× 150 1.3× 58 0.7× 8 0.1× 38 408
Soochahn Lee South Korea 10 293 2.2× 26 0.2× 72 0.6× 69 0.8× 11 0.2× 30 477
Sasan Mahmoodi United Kingdom 12 24 0.2× 46 0.4× 127 1.1× 50 0.6× 8 0.1× 39 309
S. R. Nirmala India 10 114 0.9× 39 0.3× 27 0.2× 36 0.4× 16 0.3× 55 255
Tobias Wissel Germany 11 164 1.2× 21 0.2× 145 1.3× 29 0.3× 14 0.2× 38 342
Parisa Gifani Iran 9 186 1.4× 25 0.2× 43 0.4× 90 1.1× 12 0.2× 22 310
Chen Ye Japan 11 78 0.6× 19 0.1× 138 1.2× 22 0.3× 33 0.5× 38 313
N. Suzumura Japan 11 54 0.4× 83 0.7× 81 0.7× 47 0.6× 5 0.1× 37 353
Huafeng Wang China 9 80 0.6× 15 0.1× 33 0.3× 61 0.7× 23 0.4× 37 266

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-authorship network of co-authors of Rolf Bippus

This figure shows the co-authorship network connecting the top 25 collaborators of Rolf Bippus. A scholar is included among the top collaborators of Rolf Bippus based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rolf Bippus. Rolf Bippus is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kopp, Felix K., F Harder, Yannik Leonhardt, et al.. (2021). Sparse-sampling computed tomography for detection of endoleak after endovascular aortic repair (EVAR). European Journal of Radiology. 142. 109843–109843. 3 indexed citations
2.
Sauter, Andreas, Felix K. Kopp, Rolf Bippus, et al.. (2019). Sparse sampling computed tomography (SpSCT) for detection of pulmonary embolism: a feasibility study. European Radiology. 29(11). 5950–5960. 4 indexed citations
3.
Nickisch, Hannes, Tobias Wissel, Rolf Bippus, et al.. (2019). Motion estimation and correction in cardiac CT angiography images using convolutional neural networks. Computerized Medical Imaging and Graphics. 76. 101640–101640. 36 indexed citations
4.
Nickisch, Hannes, Tobias Wissel, Rolf Bippus, et al.. (2018). Motion artifact recognition and quantification in coronary CT angiography using convolutional neural networks. Medical Image Analysis. 52. 68–79. 35 indexed citations
5.
Nickisch, Hannes, et al.. (2018). Motion Estimation in Coronary CT Angiography Images using Convolutional Neural Networks. 6 indexed citations
6.
Sollmann, Nico, Kai Mei, Benedikt J. Schwaiger, et al.. (2018). Effects of virtual tube current reduction and sparse sampling on MDCT-based femoral BMD measurements. Osteoporosis International. 29(12). 2685–2692. 10 indexed citations
7.
Kopp, Felix K., Rolf Bippus, Andreas Sauter, et al.. (2018). Diagnostic value of sparse sampling computed tomography for radiation dose reduction: initial results. 144–144. 6 indexed citations
8.
Schwaiger, Benedikt J., Kai Mei, Felix K. Kopp, et al.. (2017). Low-Dose Simulation and Sparse Sampling with Statistical Iterative Reconstruction: Dose Reduction in MDCT-Based Bone Mineral Density and Microstructure Assessment. Seminars in Musculoskeletal Radiology. 21(S 01). S1–S5. 1 indexed citations
9.
Mei, Kai, Felix K. Kopp, Rolf Bippus, et al.. (2017). Is multidetector CT-based bone mineral density and quantitative bone microstructure assessment at the spine still feasible using ultra-low tube current and sparse sampling?. European Radiology. 27(12). 5261–5271. 42 indexed citations
10.
Khawaja, Ranish Deedar Ali, Sarabjeet Singh, Rolf Bippus, et al.. (2014). Role of Compressive Sensing Technique in Dose Reduction for Chest Computed Tomography. Journal of Computer Assisted Tomography. 38(5). 760–767. 4 indexed citations
11.
Bucerius, Jan, Christoph Manka, Jörn Schmaljohann, et al.. (2012). Feasibility of [18F]-2-Fluoro-A85380-PET Imaging of Human Vascular Nicotinic Acetylcholine Receptors In Vivo. JACC. Cardiovascular imaging. 5(5). 528–536. 22 indexed citations
12.
Bippus, Rolf, et al.. (2011). Projector and Backprojector for Iterative CT Reconstruction with Blobs using CUDA. Data Archiving and Networked Services (DANS). 4 indexed citations
13.
Wieczorek, H., et al.. (2006). Collimator Spatial Resolution. 3. 1717–1721. 3 indexed citations
14.
Fischer, Alexander, et al.. (2002). Quantile based noise estimation for spectral subtraction and Wiener filtering. 3. 1875–1878. 119 indexed citations
15.
Fischer, Alexander, et al.. (2002). Acoustic synthesis of training data for speech recognition in living room environments. 1. 21–24. 11 indexed citations
16.
Bippus, Rolf & Volker Märgner. (2002). Data structures and tools for document database generation: an experimental system. 2. 711–714.
17.
18.
Bippus, Rolf & Volker Märgner. (1999). Script recognition using inhomogeneous P2DHMM and hierarchical search space reduction. 773–776. 11 indexed citations
19.
Bippus, Rolf, et al.. (1999). Domain adaptation for robust automatic speech recognition in car environments. 1943–1946. 8 indexed citations
20.
Bippus, Rolf & Michael Lehning. (1994). Cursive script recognition using semi continuous hidden Markov models in combination with simple features. 6 indexed citations

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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