Georg Rose

2.4k total citations
186 papers, 1.8k citations indexed

About

Georg Rose is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Georg Rose has authored 186 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 93 papers in Radiology, Nuclear Medicine and Imaging, 75 papers in Biomedical Engineering and 29 papers in Computer Vision and Pattern Recognition. Recurrent topics in Georg Rose's work include Medical Imaging Techniques and Applications (55 papers), Advanced MRI Techniques and Applications (45 papers) and Advanced X-ray and CT Imaging (36 papers). Georg Rose is often cited by papers focused on Medical Imaging Techniques and Applications (55 papers), Advanced MRI Techniques and Applications (45 papers) and Advanced X-ray and CT Imaging (36 papers). Georg Rose collaborates with scholars based in Germany, United States and United Kingdom. Georg Rose's co-authors include Helmuth Steinmetz, Matthias Sitzer, M. Siebler, Matthias Bertram, Mario Siebler, Andreas Nachtmann, Til Aach, Tomasz Bien, Ralf Stannarius and Tamás Börzsönyi and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Brain.

In The Last Decade

Georg Rose

173 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Georg Rose Germany 21 695 528 505 314 303 186 1.8k
Raimo Sepponen Finland 25 1.0k 1.5× 334 0.6× 256 0.5× 102 0.3× 209 0.7× 103 2.2k
George Nikiforidis Greece 26 514 0.7× 371 0.7× 559 1.1× 181 0.6× 67 0.2× 108 2.3k
Guk Bae Kim South Korea 16 665 1.0× 509 1.0× 283 0.6× 87 0.3× 205 0.7× 34 1.7k
Cengizhan Öztürk Türkiye 27 840 1.2× 474 0.9× 132 0.3× 140 0.4× 687 2.3× 78 2.0k
Zeike A. Taylor United Kingdom 23 897 1.3× 783 1.5× 360 0.7× 102 0.3× 73 0.2× 73 2.5k
Abdel Aziz Taha Germany 8 935 1.3× 460 0.9× 331 0.7× 135 0.4× 81 0.3× 11 2.3k
Rashindra Manniesing Netherlands 23 653 0.9× 247 0.5× 498 1.0× 398 1.3× 154 0.5× 67 1.6k
Adam Wittek Australia 27 329 0.5× 1.1k 2.1× 887 1.8× 106 0.3× 120 0.4× 116 2.5k
Örjan Smedby Sweden 33 1.5k 2.2× 836 1.6× 622 1.2× 358 1.1× 335 1.1× 172 3.4k
Peter F. Niederer Switzerland 31 713 1.0× 1.0k 2.0× 737 1.5× 247 0.8× 649 2.1× 187 3.3k

Countries citing papers authored by Georg Rose

Since Specialization
Citations

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

Fields of papers citing papers by Georg Rose

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Georg Rose

This figure shows the co-authorship network connecting the top 25 collaborators of Georg Rose. A scholar is included among the top collaborators of Georg Rose 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 Georg Rose. Georg Rose 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.
Pech, Maciej, et al.. (2025). Microwave-Assisted Optimization of Polyvinyl Alcohol Cryogel (PVA-C) Manufacturing for MRI Phantom Production. Bioengineering. 12(2). 171–171. 2 indexed citations
2.
Winter, Lukas, et al.. (2024). Joint $\text{B}_{0}$ and Image Reconstruction in Low-Field MRI by Physics-Informed Deep-Learning. IEEE Transactions on Biomedical Engineering. 71(10). 2842–2853. 4 indexed citations
3.
Kowal, Robert, et al.. (2024). MRI-compatible abdomen phantom to mimic respiratory-triggered organ movement while performing needle-based interventions. International Journal of Computer Assisted Radiology and Surgery. 19(12). 2329–2338. 3 indexed citations
4.
Chatterjee, Soumick, et al.. (2024). DDoS-UNet: Incorporating Temporal Information Using Dynamic Dual-Channel UNet for Enhancing Super-Resolution of Dynamic MRI. IEEE Access. 12. 99122–99136. 3 indexed citations
5.
Liu, Chang, Michael Golatta, S. Kappler, et al.. (2023). Clinical prototype implementation enabling an improved day-to-day mammography compression. Physica Medica. 106. 102524–102524. 1 indexed citations
6.
Aigner, Christoph Stefan, Ralf Mekle, Oliver Speck, et al.. (2022). Fourier‐based decomposition for simultaneous 2‐voxel MRS acquisition with 2SPECIAL. Magnetic Resonance in Medicine. 88(5). 1978–1993. 1 indexed citations
7.
Kulvait, Vojtěch, et al.. (2022). A novel use of time separation technique to improve flat detector CT perfusion imaging in stroke patients. Medical Physics. 49(6). 3624–3637. 3 indexed citations
8.
Aigner, Christoph Stefan, Stephen L. R. Ellison, Rüdiger Brühl, et al.. (2021). Assessment of measurement precision in single‐voxel spectroscopy at 7 T: Toward minimal detectable changes of metabolite concentrations in the human brain in vivo. Magnetic Resonance in Medicine. 87(3). 1119–1135. 4 indexed citations
9.
Rose, Georg, et al.. (2021). Investigation of Microwave Ablation Process in Sweet Potatoes as Substitute Liver. Sensors. 21(11). 3894–3894. 1 indexed citations
10.
Seifert, Frank, Werner Hoffmann, Harald Pfeiffer, et al.. (2021). Rapid safety assessment and mitigation of radiofrequency induced implant heating using small root mean square sensors and the sensor matrix Qs. Magnetic Resonance in Medicine. 87(1). 509–527. 6 indexed citations
11.
Pfeiffer, Tim, et al.. (2020). A novel approach to 2D/3D registration of X-ray images using Grangeat’s relation. Medical Image Analysis. 67. 101815–101815. 12 indexed citations
12.
Beuing, Oliver, et al.. (2019). Reduction of beam hardening artifacts on real C-arm CT data using polychromatic statistical image reconstruction. Zeitschrift für Medizinische Physik. 30(1). 40–50. 11 indexed citations
13.
Rose, Georg, et al.. (2018). Image Processing. Biomedizinische Technik/Biomedical Engineering. 63(s1). 219–225. 1 indexed citations
14.
Li, Mengfei, Christian Hansen, & Georg Rose. (2015). A robust electromagnetic tracking system for clinical applications.. 31–36. 1 indexed citations
15.
Rose, Georg, et al.. (2014). Identification of a signal for an optimal heart beat detection in multimodal physiological datasets. Computing in Cardiology Conference. 273–276. 2 indexed citations
16.
Schmidt, Marcus, et al.. (2014). A real-time QRS detector based on higher-order statistics for ECG gated cardiac MRI. Computing in Cardiology. 733–736. 12 indexed citations
17.
Rose, Georg, et al.. (2012). Filtering the magnetohydrodynamic effect from 12-lead ECG signals using Independent Component Analysis. Oxford University Research Archive (ORA) (University of Oxford). 39. 589–592. 8 indexed citations
18.
Rose, Georg, et al.. (2011). Magnetohydrodynamic distortions of the ECG in different MR scanner configurations. Computing in Cardiology. 769–772. 20 indexed citations
19.
Lorenz, Cristian, et al.. (2010). Fully Automatic Model Creation for Object Localization utilizing the Generalized Hough Transform.. 281–285. 6 indexed citations
20.
Rose, Georg, et al.. (1987). Are lean hypertensives at greater risk than obese hypertensives?. UCL Discovery (University College London). 7 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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