Pascal Paysan

1.8k total citations · 1 hit paper
24 papers, 1.1k citations indexed

About

Pascal Paysan is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Biomedical Engineering. According to data from OpenAlex, Pascal Paysan has authored 24 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Radiology, Nuclear Medicine and Imaging, 15 papers in Radiation and 10 papers in Biomedical Engineering. Recurrent topics in Pascal Paysan's work include Medical Imaging Techniques and Applications (17 papers), Advanced Radiotherapy Techniques (15 papers) and Advanced X-ray and CT Imaging (10 papers). Pascal Paysan is often cited by papers focused on Medical Imaging Techniques and Applications (17 papers), Advanced Radiotherapy Techniques (15 papers) and Advanced X-ray and CT Imaging (10 papers). Pascal Paysan collaborates with scholars based in Switzerland, Germany and United States. Pascal Paysan's co-authors include Thomas Vetter, Sami Romdhani, Reinhard Knothe, Brian Amberg, Marcus Brehm, Marc Kachelrieß, Markus Oelhafen, Dieter Seghers, Patrik Kunz and Peter R. T. Munro and has published in prestigious journals such as Physics in Medicine and Biology, Medical Physics and Radiotherapy and Oncology.

In The Last Decade

Pascal Paysan

23 papers receiving 1.0k citations

Hit Papers

A 3D Face Model for Pose and Illumination Invariant Face ... 2009 2026 2014 2020 2009 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pascal Paysan Switzerland 10 741 282 236 164 146 24 1.1k
Brian Amberg Switzerland 8 1.3k 1.7× 594 2.1× 34 0.1× 7 0.0× 50 0.3× 10 1.5k
Brandon M. Smith United States 11 290 0.4× 29 0.1× 31 0.1× 53 0.3× 50 0.3× 24 521
Jun‐ichi Hasegawa Japan 11 299 0.4× 27 0.1× 169 0.7× 22 0.1× 77 0.5× 73 634
Didier Wolf France 14 297 0.4× 19 0.1× 305 1.3× 42 0.3× 126 0.9× 54 800
Anastasios Roussos United Kingdom 16 860 1.2× 313 1.1× 42 0.2× 4 0.0× 66 0.5× 35 1.1k
A. Pommert Germany 16 468 0.6× 239 0.8× 155 0.7× 16 0.1× 327 2.2× 47 1.0k
J. Toriwaki Japan 10 320 0.4× 74 0.3× 103 0.4× 20 0.1× 78 0.5× 46 550
Roger Reynolds United States 13 475 0.6× 281 1.0× 61 0.3× 22 0.1× 48 0.3× 40 703
Toshiyuki Gotoh Japan 14 206 0.3× 26 0.1× 133 0.6× 31 0.2× 38 0.3× 88 754

Countries citing papers authored by Pascal Paysan

Since Specialization
Citations

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

Fields of papers citing papers by Pascal Paysan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pascal Paysan

This figure shows the co-authorship network connecting the top 25 collaborators of Pascal Paysan. A scholar is included among the top collaborators of Pascal Paysan 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 Pascal Paysan. Pascal Paysan 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, Stefan Sawall, Marcel Arheit, Pascal Paysan, & Marc Kachelrieß. (2025). Deep learning‐based cone‐beam CT motion compensation with single‐view temporal resolution. Medical Physics. 52(7). e17911–e17911. 2 indexed citations
2.
Amirian, Mohammadreza, Javier A. Montoya‐Zegarra, Peter Eggenberger Hotz, et al.. (2023). Mitigation of motion‐induced artifacts in cone beam computed tomography using deep convolutional neural networks. Medical Physics. 50(10). 6228–6242. 5 indexed citations
3.
Maier, Joscha, et al.. (2023). Projection-based Motion Correction for Shifted-Detector Cone-Beam CT. 1–1. 1 indexed citations
4.
Peterlík, Igor, Adam Strzelecki, Mathias Lehmann, et al.. (2021). Reducing residual‐motion artifacts in iterative 3D CBCT reconstruction in image‐guided radiation therapy. Medical Physics. 48(10). 6497–6507. 10 indexed citations
5.
Katsevich, Alexander, et al.. (2019). A motion estimation and compensation algorithm for 4D CBCT of the abdomen. 27. 83–83. 1 indexed citations
6.
Star‐Lack, Josh, Mingshan Sun, Markus Oelhafen, et al.. (2018). A modified McKinnon‐Bates (MKB) algorithm for improved 4D cone‐beam computed tomography (CBCT) of the lung. Medical Physics. 45(8). 3783–3799. 12 indexed citations
7.
Wang, Adam, Mathias Lehmann, Adam Strzelecki, et al.. (2018). Acuros CTS: A fast, linear Boltzmann transport equation solver for computed tomography scatter – Part II: System modeling, scatter correction, and optimization. Medical Physics. 45(5). 1914–1925. 66 indexed citations
8.
Brehm, Marcus, et al.. (2017). Motion vector field phase-to-amplitude resampling for 4D motion-compensated cone-beam CT. Physics in Medicine and Biology. 63(3). 35032–35032. 9 indexed citations
9.
Chetty, Indrin J., Pascal Paysan, Marcus Brehm, et al.. (2017). PO-0893: Improving CBCT image quality for daily image guidance of patients with head/neck and prostate cancer. Radiotherapy and Oncology. 123. S491–S492. 2 indexed citations
10.
Paysan, Pascal, Marcus Brehm, Mathias Lehmann, et al.. (2016). WE‐AB‐207A‐08: BEST IN PHYSICS (IMAGING): Advanced Scatter Correction and Iterative Reconstruction for Improved Cone‐Beam CT Imaging On the TrueBeam Radiotherapy Machine. Medical Physics. 43(6Part39). 3799–3799. 6 indexed citations
11.
Hahn, Andrew D., et al.. (2016). PO-0934: Cardio-respiratory motion compensation for 5D thoracic CBCT in IGRT. Radiotherapy and Oncology. 119. S452–S453. 2 indexed citations
12.
Hahn, Andreas, et al.. (2016). Five-dimensional motion compensation for respiratory and cardiac motion with cone-beam CT of the thorax region. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9783. 97830H–97830H. 10 indexed citations
13.
Brehm, Marcus, Pascal Paysan, Markus Oelhafen, & Marc Kachelrieß. (2013). Artifact‐resistant motion estimation with a patient‐specific artifact model for motion‐compensated cone‐beam CT. Medical Physics. 40(10). 101913–101913. 60 indexed citations
14.
Brehm, Marcus, Pascal Paysan, Markus Oelhafen, Patrik Kunz, & Marc Kachelrieß. (2012). Self‐adapting cyclic registration for motion‐compensated cone‐beam CT in image‐guided radiation therapy. Medical Physics. 39(12). 7603–7618. 50 indexed citations
15.
Brehm, Marcus, et al.. (2012). Iterative motion-compensated reconstruction for image-guided radiation therapy. 3839–3846. 2 indexed citations
16.
Mueller, Andreas, Pascal Paysan, Ralf Schumacher, et al.. (2011). Missing facial parts computed by a morphable model and transferred directly to a polyamide laser-sintered prosthesis: an innovation study. British Journal of Oral and Maxillofacial Surgery. 49(8). e67–e71. 16 indexed citations
17.
Paysan, Pascal, Reinhard Knothe, Brian Amberg, Sami Romdhani, & Thomas Vetter. (2009). A 3D Face Model for Pose and Illumination Invariant Face Recognition. 296–301. 788 indexed citations breakdown →
19.
Basso, Curzio, Pascal Paysan, & Thomas Vetter. (2006). Registration of Expressions Data using a 3D Morphable Model. 205–210. 9 indexed citations
20.
Gehrig, Stefan, Hernán Badino, & Pascal Paysan. (2006). Accurate and Model-Free Pose Estimation of Small Objects for Crash Video Analysis. 103.1–103.10. 2 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026