Karl Stierstorfer

6.3k total citations · 1 hit paper
132 papers, 4.6k citations indexed

About

Karl Stierstorfer is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Karl Stierstorfer has authored 132 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 126 papers in Radiology, Nuclear Medicine and Imaging, 122 papers in Biomedical Engineering and 13 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Karl Stierstorfer's work include Advanced X-ray and CT Imaging (121 papers), Medical Imaging Techniques and Applications (114 papers) and Radiation Dose and Imaging (81 papers). Karl Stierstorfer is often cited by papers focused on Advanced X-ray and CT Imaging (121 papers), Medical Imaging Techniques and Applications (114 papers) and Radiation Dose and Imaging (81 papers). Karl Stierstorfer collaborates with scholars based in Germany, United States and United Kingdom. Karl Stierstorfer's co-authors include Thomas Flohr, Herbert Bruder, Martin Petersilka, Cynthia H. McCollough, Bernd Ohnesorge, Bernhard Krauß, Rainer Raupach, S. Schaller, Michael Grasruck and Andrew N. Primak and has published in prestigious journals such as Journal of Applied Physics, Radiology and IEEE Transactions on Medical Imaging.

In The Last Decade

Karl Stierstorfer

123 papers receiving 4.5k citations

Hit Papers

First performance evaluat... 2005 2026 2012 2019 2005 250 500 750 1000

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Karl Stierstorfer 4.1k 3.7k 530 341 279 132 4.6k
Rainer Raupach 4.0k 1.0× 3.8k 1.0× 362 0.7× 352 1.0× 228 0.8× 62 4.5k
Herbert Bruder 5.1k 1.2× 4.3k 1.2× 542 1.0× 473 1.4× 233 0.8× 61 5.7k
Martin J. Willemink 3.9k 0.9× 3.0k 0.8× 787 1.5× 348 1.0× 142 0.5× 103 5.0k
Peter B. Noël 3.0k 0.7× 3.1k 0.8× 382 0.7× 449 1.3× 788 2.8× 254 4.5k
Sebastian T. Schindera 3.2k 0.8× 2.6k 0.7× 570 1.1× 523 1.5× 103 0.4× 107 3.9k
Bernhard Krauß 5.7k 1.4× 5.8k 1.6× 961 1.8× 411 1.2× 389 1.4× 83 6.7k
Yoshinori Funama 3.1k 0.7× 2.4k 0.6× 542 1.0× 262 0.8× 105 0.4× 193 3.5k
William Pavlicek 2.4k 0.6× 1.9k 0.5× 752 1.4× 359 1.1× 155 0.6× 55 3.3k
James M. Kofler 3.2k 0.8× 2.6k 0.7× 526 1.0× 358 1.0× 194 0.7× 56 3.7k
Julian L. Wichmann 4.1k 1.0× 3.7k 1.0× 506 1.0× 760 2.2× 79 0.3× 182 5.1k

Countries citing papers authored by Karl Stierstorfer

Since Specialization
Citations

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

Fields of papers citing papers by Karl Stierstorfer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karl Stierstorfer

This figure shows the co-authorship network connecting the top 25 collaborators of Karl Stierstorfer. A scholar is included among the top collaborators of Karl Stierstorfer 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 Karl Stierstorfer. Karl Stierstorfer 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.
Maier, Joscha, Éric Fournié, Christian Hofmann, et al.. (2025). Deep scatter estimation for static CT using multiple projections. 158–158. 1 indexed citations
3.
Stierstorfer, Karl & Martin Hupfer. (2024). A Monte Carlo method to assess the spectral performance of photon counting detectors. Medical Physics. 52(3). 1515–1525.
4.
McCollough, Cynthia H., Kishore Rajendran, Shuai Leng, et al.. (2023). The technical development of photon-counting detector CT. European Radiology. 33(8). 5321–5330. 61 indexed citations
6.
Rajendran, Kishore, Karl Stierstorfer, S. Kappler, et al.. (2020). X-Ray Transmittance Modeling-Based Material Decomposition Using a Photon-Counting Detector CT System. IEEE Transactions on Radiation and Plasma Medical Sciences. 5(4). 508–516. 5 indexed citations
7.
Wang, Yang, et al.. (2019). Improved wedge scatter correction for multi-slice CT system. 82–82. 1 indexed citations
8.
Stierstorfer, Karl, Martin Hupfer, & N. S. Köster. (2019). Modeling the DQE(f) of photon-counting detectors: impact of the pixel sensitivity profile. Physics in Medicine and Biology. 64(10). 105008–105008. 12 indexed citations
9.
Abadi, Ehsan, Brian Harrawood, Shobhit Sharma, et al.. (2019). Development of a scanner-specific simulation framework for photon-counting computed tomography. Biomedical Physics & Engineering Express. 5(5). 55008–55008. 30 indexed citations
10.
Wang, Yang, et al.. (2018). Scatter correction for multi-slice CT system. 128–128. 1 indexed citations
11.
Buzug, Thorsten M., et al.. (2016). Polychromatic Iterative Statistical Material Image Reconstruction for Photon-Counting Computed Tomography. International Journal of Biomedical Imaging. 2016. 1–15. 35 indexed citations
12.
Noo, Frédéric, et al.. (2016). Iterative CT reconstruction using coordinate descent with ordered subsets of data. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9783. 97834A–97834A.
13.
Kappler, S., et al.. (2013). Multi-energy performance of a research prototype CT scanner with small-pixel counting detector. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8668. 86680O–86680O. 40 indexed citations
14.
Kappler, S., et al.. (2012). First results from a hybrid prototype CT scanner for exploring benefits of quantum-counting in clinical CT. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8313. 83130X–83130X. 79 indexed citations
15.
Hoffstetter, Patrick, Carsten Framme, N Zorger, et al.. (2011). Nachweismöglichkeit intraorbitaler Fremdkörper durch MDCT. RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren. 183(6). 543–548. 2 indexed citations
16.
Flohr, Thomas, Shuai Leng, Lifeng Yu, et al.. (2009). Dual‐source spiral CT with pitch up to 3.2 and 75 ms temporal resolution: Image reconstruction and assessment of image quality. Medical Physics. 36(12). 5641–5653. 134 indexed citations
17.
Flohr, Thomas, Herbert Bruder, Karl Stierstorfer, et al.. (2008). Image reconstruction and image quality evaluation for a dual source CT scanner. Medical Physics. 35(12). 5882–5897. 90 indexed citations
18.
Flohr, Thomas, Karl Stierstorfer, Stefan Ulzheimer, et al.. (2005). Image reconstruction and image quality evaluation for a 64‐slice CT scanner with ‐flying focal spot. Medical Physics. 32(8). 2536–2547. 201 indexed citations
19.
Flohr, Thomas, Cynthia H. McCollough, Herbert Bruder, et al.. (2005). First performance evaluation of a dual-source CT (DSCT) system. European Radiology. 16(2). 256–268. 1078 indexed citations breakdown →
20.
Flohr, Thomas, Bernd Ohnesorge, Karl Stierstorfer, et al.. (2004). Auf dem Weg zur isotropen räumlichen Auflösung: Technische Grundlagen und Anwendungen der 16-Schicht-CT. Der Radiologe. 45(7). 608–617. 4 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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