Marcus Pfister

590 total citations
27 papers, 307 citations indexed

About

Marcus Pfister is a scholar working on Pulmonary and Respiratory Medicine, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Marcus Pfister has authored 27 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Pulmonary and Respiratory Medicine, 12 papers in Biomedical Engineering and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Marcus Pfister's work include Aortic aneurysm repair treatments (12 papers), Advanced X-ray and CT Imaging (10 papers) and Medical Image Segmentation Techniques (6 papers). Marcus Pfister is often cited by papers focused on Aortic aneurysm repair treatments (12 papers), Advanced X-ray and CT Imaging (10 papers) and Medical Image Segmentation Techniques (6 papers). Marcus Pfister collaborates with scholars based in Germany, United States and Canada. Marcus Pfister's co-authors include Martin Groher, Nassir Navab, Ben Glocker, Alda L. Tam, Ashraf Mohamed, Rui Liao, Shun Miao, R. Loose, Michael J. Wallace and Simon Lessard and has published in prestigious journals such as Radiology, Spine and IEEE Transactions on Medical Imaging.

In The Last Decade

Marcus Pfister

26 papers receiving 299 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marcus Pfister Germany 10 144 116 90 84 69 27 307
Quirina M. B. de Ruiter Netherlands 11 167 1.2× 132 1.1× 87 1.0× 162 1.9× 35 0.5× 18 335
Didier Mutter France 10 160 1.1× 102 0.9× 305 3.4× 58 0.7× 120 1.7× 21 471
S.K. Jespersen Denmark 7 154 1.1× 125 1.1× 46 0.5× 230 2.7× 58 0.8× 16 367
Petro Kostandy United States 7 106 0.7× 36 0.3× 79 0.9× 218 2.6× 54 0.8× 8 446
Ole Vegard Solberg Norway 8 167 1.2× 52 0.4× 141 1.6× 157 1.9× 144 2.1× 16 417
Frank Pianka Germany 10 106 0.7× 57 0.5× 190 2.1× 42 0.5× 65 0.9× 30 328
Mehmet Gulsun United States 9 73 0.5× 128 1.1× 58 0.6× 225 2.7× 75 1.1× 25 380
Christopher Rohkohl Germany 14 266 1.8× 91 0.8× 46 0.5× 381 4.5× 59 0.9× 32 522
Charles Cockrell United States 11 83 0.6× 76 0.7× 90 1.0× 99 1.2× 33 0.5× 24 315
Juergen Weese Germany 11 127 0.9× 73 0.6× 66 0.7× 219 2.6× 171 2.5× 38 443

Countries citing papers authored by Marcus Pfister

Since Specialization
Citations

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

Fields of papers citing papers by Marcus Pfister

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcus Pfister

This figure shows the co-authorship network connecting the top 25 collaborators of Marcus Pfister. A scholar is included among the top collaborators of Marcus Pfister 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 Marcus Pfister. Marcus Pfister 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.
Pfister, Marcus, et al.. (2023). Comparison of synthetic dataset generation methods for medical intervention rooms using medical clothing detection as an example. EURASIP Journal on Image and Video Processing. 2023(1).
2.
Soulez, Gilles, et al.. (2021). Impact of calcification modeling to improve image fusion accuracy for endovascular aortic aneurysm repair. International Journal for Numerical Methods in Biomedical Engineering. 38(2). e3556–e3556. 2 indexed citations
3.
Breininger, Katharina, et al.. (2019). Simultaneous reconstruction of multiple stiff wires from a single X-ray projection for endovascular aortic repair. International Journal of Computer Assisted Radiology and Surgery. 14(11). 1891–1899. 4 indexed citations
4.
Breininger, Katharina, et al.. (2018). Intraoperative stent segmentation in X-ray fluoroscopy for endovascular aortic repair. International Journal of Computer Assisted Radiology and Surgery. 13(8). 1221–1231. 20 indexed citations
5.
Kauffmann, Claude, Fréderic Douane, Éric Thérasse, et al.. (2015). Source of Errors and Accuracy of a Two-Dimensional/Three-Dimensional Fusion Road Map for Endovascular Aneurysm Repair of Abdominal Aortic Aneurysm. Journal of Vascular and Interventional Radiology. 26(4). 544–551. 42 indexed citations
6.
Koch, Martín, Matthias Hoffmann, Marcus Pfister, Joachim Hornegger, & Norbert Strobel. (2014). Optimized viewing angles for cardiac electrophysiology ablation procedures. International Journal of Computer Assisted Radiology and Surgery. 10(5). 651–664. 1 indexed citations
7.
Miao, Shun, et al.. (2013). System and Method for 3-D/3-D Registration between Non-contrast-enhanced CBCT and Contrast-Enhanced CT for Abdominal Aortic Aneurysm Stenting. Lecture notes in computer science. 16(Pt 1). 380–387. 14 indexed citations
8.
Miao, Shun, Rui Liao, & Marcus Pfister. (2013). Toward smart utilization of two X-ray images for 2-D/3-D registration applied to abdominal aortic aneurysm interventions. Computers & Electrical Engineering. 39(5). 1485–1498. 7 indexed citations
9.
Glocker, Ben, et al.. (2012). Interventional Tool Tracking Using Discrete Optimization. IEEE Transactions on Medical Imaging. 32(3). 544–555. 43 indexed citations
10.
11.
Miao, Shun, Rui Liao, & Marcus Pfister. (2011). Toward smart utilization of two X-ray images for 2-D/3-D registration applied to abdominal aortic aneurysm interventions. 550–555. 3 indexed citations
12.
Tangen, Geir Arne, et al.. (2010). Endovascular image-guided navigation - validation of two volume-volume registration algorithms. Minimally Invasive Therapy & Allied Technologies. 20(5). 282–289. 7 indexed citations
13.
Tam, Alda L., et al.. (2010). C-Arm Cone Beam Computed Tomography Needle Path Overlay for Fluoroscopic Guided Vertebroplasty. Spine. 35(10). 1095–1099. 39 indexed citations
14.
Wang, Peng, Marcus Pfister, Terrence Chen, & Dorin Comaniciu. (2010). Using needle detection and tracking for motion compensation in abdominal interventions. 57. 612–615. 7 indexed citations
15.
Tam, Alda L., et al.. (2009). C-arm Cone Beam Computed Tomographic Needle Path Overlay for Fluoroscopic-Guided Placement of Translumbar Central Venous Catheters. CardioVascular and Interventional Radiology. 32(4). 820–824. 22 indexed citations
16.
Richter, Gregor, Marcus Pfister, Tobias Struffert, et al.. (2009). Technical feasibility of 2D–3D coregistration for visualization of self-expandable microstents to facilitate coil embolization of broad-based intracranial aneurysms: an in vitro study. Neuroradiology. 51(12). 851–854. 6 indexed citations
17.
18.
Pfister, Marcus & Bernhard Scholz. (2004). Localization of fluorescence spots with space-space MUSIC for mammographylike measurement systems. Journal of Biomedical Optics. 9(3). 481–481. 8 indexed citations
19.
Pfister, Marcus, et al.. (1997). Milo and the Magical Stones. 2 indexed citations
20.
Pfister, Marcus, et al.. (1986). The Sleepy Owl. Medical Entomology and Zoology. 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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