Jens Wetzl

551 total citations
35 papers, 309 citations indexed

About

Jens Wetzl is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Jens Wetzl has authored 35 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Cardiology and Cardiovascular Medicine and 4 papers in Surgery. Recurrent topics in Jens Wetzl's work include Advanced MRI Techniques and Applications (22 papers), Cardiac Imaging and Diagnostics (18 papers) and Cardiovascular Function and Risk Factors (9 papers). Jens Wetzl is often cited by papers focused on Advanced MRI Techniques and Applications (22 papers), Cardiac Imaging and Diagnostics (18 papers) and Cardiovascular Function and Risk Factors (9 papers). Jens Wetzl collaborates with scholars based in Germany, United States and United Kingdom. Jens Wetzl's co-authors include Andreas Maier, Christoph Forman, Timo Kohlberger, Jérôme Declerck, Neil Birkbeck, Jingdan Zhang, Michal Sofka, Michaela Schmidt, Andreas Maier and Tobias Würfl and has published in prestigious journals such as Scientific Reports, Magnetic Resonance in Medicine and IEEE Transactions on Medical Imaging.

In The Last Decade

Jens Wetzl

30 papers receiving 308 citations

Author Peers

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

Author Last Decade Papers Cites
Jens Wetzl 239 76 50 45 38 35 309
Friso G. Heslinga 190 0.8× 61 0.8× 24 0.5× 38 0.8× 41 1.1× 15 273
Christian Würslin 291 1.2× 66 0.9× 31 0.6× 26 0.6× 68 1.8× 18 468
Niccolò Fuin 454 1.9× 73 1.0× 25 0.5× 59 1.3× 99 2.6× 17 526
Niloufar Zarinabad 375 1.6× 113 1.5× 23 0.5× 9 0.2× 81 2.1× 31 462
Christopher M. Sandino 302 1.3× 54 0.7× 9 0.2× 36 0.8× 76 2.0× 23 392
Melanie Traughber 210 0.9× 12 0.2× 54 1.1× 32 0.7× 86 2.3× 16 273
Michael Loecher 240 1.0× 127 1.7× 61 1.2× 28 0.6× 67 1.8× 33 404
R. Mullick 201 0.8× 20 0.3× 54 1.1× 93 2.1× 74 1.9× 11 311
Thomas Kuestner 361 1.5× 47 0.6× 41 0.8× 26 0.6× 48 1.3× 17 421
Christoph Guetter 296 1.2× 178 2.3× 33 0.7× 109 2.4× 44 1.2× 28 455

Countries citing papers authored by Jens Wetzl

Since Specialization
Citations

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

Fields of papers citing papers by Jens Wetzl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jens Wetzl

This figure shows the co-authorship network connecting the top 25 collaborators of Jens Wetzl. A scholar is included among the top collaborators of Jens Wetzl 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 Jens Wetzl. Jens Wetzl 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.
Crowe, Lindsey A., et al.. (2025). Automated vs manual cardiac MRI planning: a single-center prospective evaluation of reliability and scan times. European Radiology. 35(7). 3927–3936. 3 indexed citations
2.
Seitz, Andreas, M. Becker, Heiko Mahrholdt, et al.. (2025). Deep learning-based segmentation of T1 and T2 cardiac MRI maps for automated disease detection. European Radiology.
3.
Hajhosseiny, Reza, Radhouène Neji, Karl Kunze, et al.. (2024). Image navigator–based, automated coronary magnetic resonance angiography for the detection of coronary artery stenosis. Journal of Cardiovascular Magnetic Resonance. 26(2). 101097–101097. 2 indexed citations
4.
Zhang, Qiang, Yu Wang, Mariya Doneva, et al.. (2024). Improving the efficiency and accuracy of cardiovascular magnetic resonance with artificial intelligence—review of evidence and proposition of a roadmap to clinical translation. Journal of Cardiovascular Magnetic Resonance. 26(2). 101051–101051. 16 indexed citations
5.
Tang, Lu, Kaiyue Diao, Xi Wu, et al.. (2023). Comparison between pre- and post-contrast cardiac MRI cine images: the impact on ventricular volume and strain measurement. The International Journal of Cardiovascular Imaging. 39(5). 1055–1064. 1 indexed citations
6.
Schmidt, Michaela, Christoph Forman, Puneet Sharma, et al.. (2023). Automated Cardiac Resting Phase Detection Targeted on the Right Coronary Artery. arXiv (Cornell University). 2(January 2023). 1–26. 2 indexed citations
7.
Kunze, Karl, Radhouène Neji, Reza Hajhosseiny, et al.. (2023). Automated detection of cardiac rest period for trigger delay calculation for image-based navigator coronary magnetic resonance angiography. Journal of Cardiovascular Magnetic Resonance. 25(1). 52–52. 3 indexed citations
8.
9.
Wetzl, Jens, et al.. (2023). Lazy Luna: Extendible software for multilevel reader comparison in cardiovascular magnetic resonance imaging. Computer Methods and Programs in Biomedicine. 238. 107615–107615. 3 indexed citations
10.
Sakata, Akihiko, Ryo Sakamoto, Yasutaka Fushimi, et al.. (2022). Low-dose contrast-enhanced time-resolved angiography with stochastic trajectories with iterative reconstruction (IT-TWIST-MRA) in brain arteriovenous shunt. European Radiology. 32(8). 5392–5401. 4 indexed citations
11.
Itu, Lucian, Constantin Suciu, Jens Wetzl, et al.. (2022). Improving robustness of automatic cardiac function quantification from cine magnetic resonance imaging using synthetic image data. Scientific Reports. 12(1). 2391–2391. 8 indexed citations
12.
13.
Zhu, Lan, Xiaoyue Zhou, Simin Wang, et al.. (2020). Left ventricular myocardial deformation: a study on diastolic function in the Chinese male population and its relationship with fat distribution. Quantitative Imaging in Medicine and Surgery. 10(3). 634–645. 15 indexed citations
14.
Fellner, Claudia, Walter A. Wohlgemuth, Christian Stroszczynski, et al.. (2020). Fast TWIST with iterative reconstruction improves diagnostic accuracy of AVM of the hand. Scientific Reports. 10(1). 16355–16355. 7 indexed citations
15.
Xu, Yuanwei, Weihao Li, Ke Wan, et al.. (2020). Quantitative mechanical dyssynchrony in dilated cardiomyopathy measured by deformable registration algorithm. European Radiology. 30(4). 2010–2020. 5 indexed citations
16.
Wetzl, Jens, Christoph Forman, Berthold Kiefer, et al.. (2018). Single-breath-hold abdominal $${T}_{1}$$ T 1   mapping using 3D Cartesian Look-Locker with spatiotemporal sparsity constraints. Magnetic Resonance Materials in Physics Biology and Medicine. 31(3). 399–414. 2 indexed citations
17.
Wetzl, Jens, Michaela Schmidt, François Pontana, et al.. (2017). Single-breath-hold 3-D CINE imaging of the left ventricle using Cartesian sampling. Magnetic Resonance Materials in Physics Biology and Medicine. 31(1). 19–31. 34 indexed citations
18.
Nickel, Dominik, et al.. (2016). Accelerating multi-echo water-fat MRI with a joint locally low-rank and spatial sparsity-promoting reconstruction. Magnetic Resonance Materials in Physics Biology and Medicine. 30(2). 189–202. 8 indexed citations
19.
Sofka, Michal, Jens Wetzl, Neil Birkbeck, et al.. (2011). Multi-stage Learning for Robust Lung Segmentation in Challenging CT Volumes. Lecture notes in computer science. 14(Pt 3). 667–674. 40 indexed citations
20.
Kohlberger, Timo, Michal Sofka, Jingdan Zhang, et al.. (2011). Automatic Multi-organ Segmentation Using Learning-Based Segmentation and Level Set Optimization. Lecture notes in computer science. 14(Pt 3). 338–345. 33 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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