Marcel Beister

1.1k total citations · 1 hit paper
17 papers, 845 citations indexed

About

Marcel Beister is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Marcel Beister has authored 17 papers receiving a total of 845 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Biomedical Engineering, 13 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Marcel Beister's work include Advanced X-ray and CT Imaging (13 papers), Medical Imaging Techniques and Applications (11 papers) and Radiation Dose and Imaging (6 papers). Marcel Beister is often cited by papers focused on Advanced X-ray and CT Imaging (13 papers), Medical Imaging Techniques and Applications (11 papers) and Radiation Dose and Imaging (6 papers). Marcel Beister collaborates with scholars based in Germany and United States. Marcel Beister's co-authors include Willi A. Kalender, Daniel Kolditz, Yiannis Kyriakou, Daniel Prell, John M. Boone, Sabrina V. Vollmar, Wei Chen, Ludwig Ritschl, Bernhard Schmidt and Wei Chen and has published in prestigious journals such as Scientific Reports, Physics in Medicine and Biology and Medical Physics.

In The Last Decade

Marcel Beister

17 papers receiving 818 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Iterative reconstruction methods in X-ray CT

2012 535 citations Marcel Beister, Daniel Kolditz et al. Physica Medica profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marcel Beister Germany	6	740	661	125	109	68	17	845
Joscha Maier Germany	16	623 0.8×	557 0.8×	101 0.8×	147 1.3×	28 0.4×	61	730
Gregory J. Michalak United States	17	533 0.7×	529 0.8×	141 1.1×	82 0.8×	68 1.0×	34	771
Hao Yan China	15	707 1.0×	482 0.7×	136 1.1×	394 3.6×	66 1.0×	41	800
Ludwig Ritschl Germany	12	568 0.8×	461 0.7×	73 0.6×	191 1.8×	40 0.6×	54	656
Hewei Gao China	15	592 0.8×	507 0.8×	126 1.0×	173 1.6×	56 0.8×	64	749
Taly Gilat Schmidt United States	16	901 1.2×	868 1.3×	130 1.0×	93 0.9×	17 0.3×	82	1.0k
Jean‐Baptiste Thibault United States	16	1.5k 2.0×	1.3k 1.9×	111 0.9×	165 1.5×	121 1.8×	36	1.6k
M. Graß Germany	19	978 1.3×	707 1.1×	98 0.8×	177 1.6×	170 2.5×	51	1.2k
Katsuhiro Ichikawa Japan	15	629 0.8×	523 0.8×	234 1.9×	85 0.8×	46 0.7×	108	785
C McCollough United States	15	781 1.1×	645 1.0×	148 1.2×	48 0.4×	61 0.9×	48	970

Countries citing papers authored by Marcel Beister

Since Specialization

Citations

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

Fields of papers citing papers by Marcel Beister

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcel Beister

This figure shows the co-authorship network connecting the top 25 collaborators of Marcel Beister. A scholar is included among the top collaborators of Marcel Beister 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 Marcel Beister. Marcel Beister is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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17 of 17 papers shown

1.

Beister, Marcel, et al.. (2025). Towards quantitative spectral mammography using triple-energy K-edge imaging and a two-pass reconstruction approach. 22–22. 1 indexed citations

2.

Ritschl, Ludwig, et al.. (2025). An Interpretable X-Ray Style Transfer Via Trainable Local Laplacian Filter. 1–5. 1 indexed citations

3.

Beister, Marcel, et al.. (2024). Hybrid thick-slice reconstruction in wide-angle DBT for optimal micro-calcification and mass perceptibility. 6142. 23–23. 1 indexed citations

4.

Fieselmann, Andreas, Christian Huemmer, Marcel Beister, et al.. (2024). Adversarial robustness improvement for X-ray bone segmentation using synthetic data created from computed tomography scans. Scientific Reports. 14(1). 25813–25813. 1 indexed citations

5.

Beister, Marcel, et al.. (2024). Noise gate: a physics-driven control method for deep learning denoising in x-ray imaging. 12031. 138–138. 1 indexed citations

6.

Kappler, S., Marcel Beister, Bernhard C. Geiger, et al.. (2024). Fast wide-angle DBT with high in-plane resolution: system concept and first clinical results. 19. 45–45. 1 indexed citations

7.

Ritschl, Ludwig, Marcel Beister, Fabian Wagner, et al.. (2023). Simulation‐driven training of vision transformers enables metal artifact reduction of highly truncated CBCT scans. Medical Physics. 51(5). 3360–3375. 2 indexed citations

8.

Ritschl, Ludwig, Marcel Beister, Björn W. Kreher, et al.. (2023). Metal-conscious Embedding for CBCT Projection Inpainting. 1–5. 1 indexed citations

9.

Weber, Thomas, et al.. (2019). High‐speed slot‐scanning radiography using small‐angle tomosynthesis: Investigation of spatial resolution. Medical Physics. 46(12). 5454–5466. 4 indexed citations

10.

Kalender, Willi A., Natalia Saltybaeva, Daniel Kolditz, et al.. (2014). Generating and using patient-specific whole-body models for organ dose estimates in CT with increased accuracy: Feasibility and validation. Physica Medica. 30(8). 925–933. 12 indexed citations

11.

Chen, Wei, et al.. (2012). Fast on‐site Monte Carlo tool for dose calculations in CT applications. Medical Physics. 39(6Part1). 2985–2996. 67 indexed citations

12.

Beister, Marcel, Daniel Kolditz, & Willi A. Kalender. (2012). Iterative reconstruction methods in X-ray CT. Physica Medica. 28(2). 94–108. 535 indexed citations breakdown →

13.

Kalender, Willi A., et al.. (2011). High-resolution spiral CT of the breast at very low dose: concept and feasibility considerations. European Radiology. 22(1). 1–8. 103 indexed citations

14.

Beister, Marcel, Daniel Prell, Y. Kyriakou, & Willi A. Kalender. (2010). GPU-accelerated metal artifact reduction (MAR) in FD-CT. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7622. 76223D–76223D. 1 indexed citations

15.

Prell, Daniel, Yiannis Kyriakou, Marcel Beister, & Willi A. Kalender. (2009). A novel forward projection-based metal artifact reduction method for flat-detector computed tomography. Physics in Medicine and Biology. 54(21). 6575–6591. 105 indexed citations

16.

Chen, Wei, et al.. (2009). High performance median filtering using commodity graphics hardware. 4142–4147. 8 indexed citations

17.

Beister, Marcel, et al.. (2005). A Hybrid GPU-CPU Renderer. 1 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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