Torsten Schenkel

566 total citations
23 papers, 403 citations indexed

About

Torsten Schenkel is a scholar working on Computational Mechanics, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Torsten Schenkel has authored 23 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computational Mechanics, 6 papers in Cardiology and Cardiovascular Medicine and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Torsten Schenkel's work include Lattice Boltzmann Simulation Studies (6 papers), Cardiovascular Function and Risk Factors (5 papers) and Blood properties and coagulation (4 papers). Torsten Schenkel is often cited by papers focused on Lattice Boltzmann Simulation Studies (6 papers), Cardiovascular Function and Risk Factors (5 papers) and Blood properties and coagulation (4 papers). Torsten Schenkel collaborates with scholars based in United Kingdom, Germany and China. Torsten Schenkel's co-authors include Herbert Oertel, Yongguang Cheng, Bernd Jung, Mauro Malvè, Michael Markl, Ian Halliday, Daniel M. Espino, Duncan E. T. Shepherd, Uwe Janoske and Paul A. Bingham and has published in prestigious journals such as PLoS ONE, Journal of Biomechanics and Computer Physics Communications.

In The Last Decade

Torsten Schenkel

21 papers receiving 401 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Torsten Schenkel United Kingdom 8 249 135 111 80 57 23 403
Martin R. Pfaller United States 12 176 0.7× 113 0.8× 49 0.4× 91 1.1× 50 0.9× 23 372
Keisuke Uchida Japan 10 293 1.2× 85 0.6× 58 0.5× 73 0.9× 87 1.5× 42 464
Biyue Liu United States 9 110 0.4× 70 0.5× 131 1.2× 153 1.9× 56 1.0× 21 329
Seyedvahid Khodaei Canada 14 199 0.8× 63 0.5× 55 0.5× 105 1.3× 60 1.1× 23 314
Christopher Villongco United States 9 338 1.4× 140 1.0× 29 0.3× 64 0.8× 62 1.1× 17 420
Alberto Zingaro Italy 10 251 1.0× 93 0.7× 50 0.5× 48 0.6× 62 1.1× 16 352
Michele Bucelli Italy 9 162 0.7× 74 0.5× 60 0.5× 23 0.3× 41 0.7× 12 262
Viorel Mihalef United States 12 175 0.7× 105 0.8× 175 1.6× 63 0.8× 86 1.5× 31 507
Marie Willemet United Kingdom 12 398 1.6× 139 1.0× 71 0.6× 170 2.1× 98 1.7× 16 551
Liya Asner United Kingdom 7 280 1.1× 179 1.3× 18 0.2× 67 0.8× 115 2.0× 9 392

Countries citing papers authored by Torsten Schenkel

Since Specialization
Citations

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

Fields of papers citing papers by Torsten Schenkel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Torsten Schenkel

This figure shows the co-authorship network connecting the top 25 collaborators of Torsten Schenkel. A scholar is included among the top collaborators of Torsten Schenkel 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 Torsten Schenkel. Torsten Schenkel 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.
2.
Schenkel, Torsten, et al.. (2025). Basic Understanding of the Flow Characteristics over a Bio-Inspired Corrugated Wing at a Low Reynolds Number (10’000) in Gliding Flight. SHURA (Sheffield Hallam University Research Archive) (Sheffield Hallam University). 7–7.
3.
Schenkel, Torsten, et al.. (2024). Convergence, sampling and total order estimator effects on parameter orthogonality in global sensitivity analysis. PLoS Computational Biology. 20(7). e1011946–e1011946. 2 indexed citations
4.
Korteland, Suze-Anne, Michael Simons, Mark Dunning, et al.. (2024). Shear stress is uncoupled from atheroprotective KLK10 in atherosclerotic plaques. Atherosclerosis. 398. 118622–118622. 1 indexed citations
5.
Xu, Xu, et al.. (2024). Assessing input parameter hyperspace and parameter identifiability in a cardiovascular system model via sensitivity analysis. Journal of Computational Science. 79. 102287–102287. 5 indexed citations
6.
Halliday, Ian, et al.. (2023). Assessing Parameter Subset Selection Methods Using a Minimalmechanical Model of the Cardiovascular System. SSRN Electronic Journal. 2 indexed citations
7.
Schenkel, Torsten, et al.. (2023). Personalised parameter estimation of the cardiovascular system: Leveraging data assimilation and sensitivity analysis. Journal of Computational Science. 74. 102158–102158. 7 indexed citations
8.
Schenkel, Torsten, et al.. (2022). Computational fluid dynamics investigation on aortic hemodynamics in double aortic arch before and after ligation surgery. Journal of Biomechanics. 141. 111231–111231. 2 indexed citations
9.
Schenkel, Torsten, et al.. (2021). Three-dimensional single framework multicomponent lattice Boltzmann equation method for vesicle hydrodynamics. Physics of Fluids. 33(7). 5 indexed citations
10.
Schenkel, Torsten, et al.. (2020). Chromo-dynamic multi-component lattice Boltzmann equation scheme for axial symmetry. Journal of Physics A Mathematical and Theoretical. 53(14). 145001–145001. 3 indexed citations
11.
Schenkel, Torsten, et al.. (2020). Increasing force generation in electroadhesive devices through modelling of novel electrode geometries. Journal of Electrostatics. 109. 103540–103540. 12 indexed citations
12.
Schenkel, Torsten, et al.. (2020). Assessment of surface roughness and blood rheology on local coronary haemodynamics: a multi-scale computational fluid dynamics study. Journal of The Royal Society Interface. 17(169). 20200327–20200327. 23 indexed citations
13.
Schenkel, Torsten, et al.. (2020). Chromodynamic multirelaxation-time lattice Boltzmann scheme for fluids with density difference. Physical review. E. 102(1). 13309–13309. 3 indexed citations
14.
Alfaidi, Mabruka, Janet Chamberlain, Alexander Rothman, et al.. (2018). Dietary Docosahexaenoic Acid Reduces Oscillatory Wall Shear Stress, Atherosclerosis, and Hypertension, Most Likely Mediated via an IL‐1–Mediated Mechanism. Journal of the American Heart Association. 7(13). 26 indexed citations
15.
Cavazzuti, Marco, et al.. (2017). P83 A PILOT STUDY TO ASSESS PEAK SYSTOLIC VELOCITY AS A POSSIBLE MARKER OF ATHEROSCLEROTIC BURDEN USING ULTRASOUND. Artery Research. 20(C). 76–76. 1 indexed citations
16.
Lishchuk, Sergey V., et al.. (2017). Interfacial micro-currents in continuum-scale multi-component lattice Boltzmann equation hydrodynamics. Computer Physics Communications. 219. 286–296. 7 indexed citations
17.
18.
Schenkel, Torsten, et al.. (2010). Partitioned Fluid–Solid Coupling for Cardiovascular Blood Flow: Validation Study of Pressure-Driven Fluid-Domain Deformation. Annals of Biomedical Engineering. 38(8). 2676–2689. 23 indexed citations
19.
Schenkel, Torsten, et al.. (2009). MRI-Based CFD Analysis of Flow in a Human Left Ventricle: Methodology and Application to a Healthy Heart. Annals of Biomedical Engineering. 37(3). 503–515. 135 indexed citations
20.
Cheng, Yongguang, Herbert Oertel, & Torsten Schenkel. (2005). Fluid-Structure Coupled CFD Simulation of the Left Ventricular Flow During Filling Phase. Annals of Biomedical Engineering. 33(5). 567–576. 119 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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