Daniel Stucht

1.1k total citations
20 papers, 678 citations indexed

About

Daniel Stucht is a scholar working on Radiology, Nuclear Medicine and Imaging, Atomic and Molecular Physics, and Optics and Neurology. According to data from OpenAlex, Daniel Stucht has authored 20 papers receiving a total of 678 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Atomic and Molecular Physics, and Optics and 3 papers in Neurology. Recurrent topics in Daniel Stucht's work include Advanced MRI Techniques and Applications (16 papers), Medical Imaging Techniques and Applications (6 papers) and Atomic and Subatomic Physics Research (5 papers). Daniel Stucht is often cited by papers focused on Advanced MRI Techniques and Applications (16 papers), Medical Imaging Techniques and Applications (6 papers) and Atomic and Subatomic Physics Research (5 papers). Daniel Stucht collaborates with scholars based in Germany, United Kingdom and Thailand. Daniel Stucht's co-authors include Oliver Speck, Peter Schulze, Oliver Beuing, Philipp Berg, Frank Godenschweger, Alessandro Sciarra, Uten Yarach, Falk Lüsebrink, Gábor Janiga and Dominique Thévenin and has published in prestigious journals such as PLoS ONE, Magnetic Resonance in Medicine and Physics in Medicine and Biology.

In The Last Decade

Daniel Stucht

19 papers receiving 673 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Stucht Germany 12 452 122 95 94 73 20 678
Ming‐Chung Chou Taiwan 17 545 1.2× 94 0.8× 150 1.6× 105 1.1× 72 1.0× 68 1.0k
M. Louis Lauzon Canada 14 567 1.3× 221 1.8× 51 0.5× 115 1.2× 103 1.4× 37 998
Marcel Warntjes Sweden 17 731 1.6× 84 0.7× 102 1.1× 38 0.4× 91 1.2× 39 984
Sagar Buch United States 16 832 1.8× 244 2.0× 186 2.0× 106 1.1× 77 1.1× 35 1.2k
Sohae Chung United States 13 488 1.1× 113 0.9× 48 0.5× 26 0.3× 62 0.8× 39 723
Ikuko Uwano Japan 16 384 0.8× 160 1.3× 81 0.9× 144 1.5× 44 0.6× 43 619
Boubakeur Belaroussi France 10 426 0.9× 133 1.1× 144 1.5× 59 0.6× 28 0.4× 19 806
Andrew S. Nencka United States 19 536 1.2× 242 2.0× 285 3.0× 71 0.8× 48 0.7× 67 1.0k
Johannes Reichold Switzerland 8 295 0.7× 74 0.6× 140 1.5× 89 0.9× 14 0.2× 11 611

Countries citing papers authored by Daniel Stucht

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Stucht

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Stucht

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Stucht. A scholar is included among the top collaborators of Daniel Stucht 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 Daniel Stucht. Daniel Stucht 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.
Sciarra, Alessandro, Hendrik Mattern, Renat Yakupov, et al.. (2021). Quantitative evaluation of prospective motion correction in healthy subjects at 7T MRI. Magnetic Resonance in Medicine. 87(2). 646–657. 3 indexed citations
2.
Pathiraja, Sahani, Sylvia Saalfeld, Daniel Stucht, et al.. (2020). Hemodynamic Data Assimilation in a Subject-specific Circle of Willis Geometry. Clinical Neuroradiology. 31(3). 643–651. 12 indexed citations
3.
Stucht, Daniel, Sebastian Baecke, Ali Rashidi, et al.. (2020). Phase‐Contrast MRI Detection of Ventricular Shunt CSF Flow: Proof of Principle. Journal of Neuroimaging. 30(6). 746–753. 6 indexed citations
4.
Stucht, Daniel, et al.. (2019). Transient flow prediction in an idealized aneurysm geometry using data assimilation. Computers in Biology and Medicine. 115. 103507–103507. 18 indexed citations
5.
Hensen, Bennet, Marcel Gutberlet, Kristina I. Ringe, et al.. (2018). Wireless video transmission into the MRI magnet room: implementation and evaluation at 1.5T, 3T and 7T. Biomedizinische Technik/Biomedical Engineering. 64(4). 373–382. 1 indexed citations
6.
Spallazzi, Marco, Laura Dobisch, Andreas Becke, et al.. (2018). Hippocampal vascularization patterns: A high-resolution 7 Tesla time-of-flight magnetic resonance angiography study. NeuroImage Clinical. 21. 101609–101609. 49 indexed citations
7.
Roloff, Christoph, Daniel Stucht, Oliver Beuing, & Philipp Berg. (2018). Comparison of intracranial aneurysm flow quantification techniques: standard PIV vs stereoscopic PIV vs tomographic PIV vs phase-contrast MRI vs CFD. Journal of NeuroInterventional Surgery. 11(3). 275–282. 53 indexed citations
8.
Janiga, Gábor, Daniel Stucht, Erik Temmel, et al.. (2017). Noninvasive 4D Flow Characterization in a Stirred Tank via Phase‐Contrast Magnetic Resonance Imaging. Chemical Engineering & Technology. 40(7). 1370–1327. 5 indexed citations
9.
Mattern, Hendrik, Alessandro Sciarra, Frank Godenschweger, et al.. (2017). Prospective motion correction enables highest resolution time‐of‐flight angiography at 7T. Magnetic Resonance in Medicine. 80(1). 248–258. 36 indexed citations
10.
Godenschweger, Frank, Daniel Stucht, Uten Yarach, et al.. (2016). Motion correction in MRI of the brain. Physics in Medicine and Biology. 61(5). R32–R56. 138 indexed citations
11.
Yarach, Uten, et al.. (2016). Correction of B 0-induced geometric distortion variations in prospective motion correction for 7T MRI. Magnetic Resonance Materials in Physics Biology and Medicine. 29(3). 319–332. 15 indexed citations
12.
Yarach, Uten, et al.. (2014). Correction of gradient nonlinearity artifacts in prospective motion correction for 7T MRI. Magnetic Resonance in Medicine. 73(4). 1562–1569. 12 indexed citations
13.
14.
Godenschweger, Frank, et al.. (2013). Entwicklung einer Echtzeitnadelführung unter Nutzung des optischen Moiré-Phase Trackingsystems am 3 T wide-bore System. 22–25. 1 indexed citations
15.
Rose, Georg, et al.. (2013). Limitations of VCG based gating methods in ultra high field cardiac MRI. Journal of Cardiovascular Magnetic Resonance. 15. W19–W19. 15 indexed citations
16.
Maclaren, Julian, Brian Armstrong, Thomas Ernst, et al.. (2013). Correction: Measurement and Correction of Microscopic Head Motion during Magnetic Resonance Imaging of the Brain. PLoS ONE. 8(6). 4 indexed citations
17.
Berg, Philipp, Daniel Stucht, Gábor Janiga, et al.. (2013). Cerebral Blood Flow in a Healthy Circle of Willis and Two Intracranial Aneurysms: Computational Fluid Dynamics Versus Four-Dimensional Phase-Contrast Magnetic Resonance Imaging. Journal of Biomechanical Engineering. 136(4). 88 indexed citations
18.
Rose, Georg, et al.. (2012). Filtering the magnetohydrodynamic effect from 12-lead ECG signals using Independent Component Analysis. Oxford University Research Archive (ORA) (University of Oxford). 39. 589–592. 8 indexed citations
19.
Maclaren, Julian, Brian Armstrong, K. Appu Danishad, et al.. (2012). Measurement and Correction of Microscopic Head Motion during Magnetic Resonance Imaging of the Brain. PLoS ONE. 7(11). e48088–e48088. 173 indexed citations
20.
Maclaren, Julian, Oliver Speck, Daniel Stucht, et al.. (2009). Navigator accuracy requirements for prospective motion correction. Magnetic Resonance in Medicine. 63(1). 162–170. 41 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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