Claus Wagner

3.7k total citations
143 papers, 2.1k citations indexed

About

Claus Wagner is a scholar working on Computational Mechanics, Environmental Engineering and Aerospace Engineering. According to data from OpenAlex, Claus Wagner has authored 143 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 95 papers in Computational Mechanics, 54 papers in Environmental Engineering and 42 papers in Aerospace Engineering. Recurrent topics in Claus Wagner's work include Fluid Dynamics and Turbulent Flows (78 papers), Wind and Air Flow Studies (54 papers) and Particle Dynamics in Fluid Flows (24 papers). Claus Wagner is often cited by papers focused on Fluid Dynamics and Turbulent Flows (78 papers), Wind and Air Flow Studies (54 papers) and Particle Dynamics in Fluid Flows (24 papers). Claus Wagner collaborates with scholars based in Germany, United States and United Kingdom. Claus Wagner's co-authors include Olga Shishkina, Johannes Bosbach, Pontus B. Persson, Thomas Hüttl, Rainer Friedrich, Benno Nafz, Pierre Sagaut, Paul Batten, Klaus Ehrenfried and A. Hirschberg and has published in prestigious journals such as The Journal of Physiology, Journal of Fluid Mechanics and Journal of Computational Physics.

In The Last Decade

Claus Wagner

127 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Claus Wagner Germany 24 1.2k 647 490 360 300 143 2.1k
C. R. Smith United States 20 1.6k 1.4× 610 0.9× 607 1.2× 193 0.5× 151 0.5× 44 2.1k
J. F. Morrison United Kingdom 30 1.5k 1.3× 794 1.2× 778 1.6× 266 0.7× 105 0.3× 122 3.3k
Maria Vittoria Salvetti Italy 34 2.0k 1.7× 814 1.3× 739 1.5× 169 0.5× 624 2.1× 149 3.0k
Steven H. Frankel United States 29 1.9k 1.6× 303 0.5× 680 1.4× 285 0.8× 580 1.9× 149 3.4k
John A. Ekaterinaris United States 23 1.7k 1.4× 154 0.2× 1.2k 2.5× 101 0.3× 212 0.7× 144 2.3k
Laurent Perret France 23 771 0.7× 584 0.9× 353 0.7× 82 0.2× 25 0.1× 64 1.5k
Zhiwei Hu United Kingdom 29 1.8k 1.5× 516 0.8× 1.7k 3.6× 55 0.2× 227 0.8× 108 2.8k
Stefan Völker Germany 10 1.6k 1.4× 396 0.6× 1.4k 2.9× 34 0.1× 99 0.3× 16 2.3k
Andrea Sciacchitano Netherlands 20 1.8k 1.5× 575 0.9× 1.1k 2.3× 19 0.1× 190 0.6× 139 2.3k
Xiufeng Yang China 25 765 0.6× 192 0.3× 102 0.2× 98 0.3× 289 1.0× 97 2.0k

Countries citing papers authored by Claus Wagner

Since Specialization
Citations

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

Fields of papers citing papers by Claus Wagner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claus Wagner

This figure shows the co-authorship network connecting the top 25 collaborators of Claus Wagner. A scholar is included among the top collaborators of Claus Wagner 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 Claus Wagner. Claus Wagner 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.
Schmeling, Daniel, et al.. (2025). Airborne SARS-CoV-2 in aircraft cabins: new inactivation data significantly influences infection risk predictions. CEAS Aeronautical Journal. 16(2). 427–432.
2.
Schmeling, Daniel, et al.. (2024). A Direct Infection Risk Model for CFD Predictions and Its Application to SARS‐CoV‐2 Aircraft Cabin Transmission. Indoor Air. 2024(1). 2 indexed citations
3.
Konstantinov, M. Yu., Daniel Schmeling, & Claus Wagner. (2023). Numerical simulation of the aerosol formation and spreading in an air-conditioned train compartment. Journal of Aerosol Science. 170. 106139–106139. 10 indexed citations
4.
Wagner, Claus, et al.. (2023). A semi-empirical model for the prediction of heat and mass transfer of humid air in a vented cavity. International Journal of Heat and Mass Transfer. 205. 123926–123926. 1 indexed citations
5.
Schmeling, Daniel, et al.. (2023). Measurement of the turbulent heat fluxes in mixed convection using combined stereoscopic PIV and PIT. Experiments in Fluids. 64(6). 1 indexed citations
6.
Wagner, Claus, et al.. (2022). Extraction Of Temperature Fields From PIV Data Of Turbulent Rayleigh-Bénard Convection Using DNS. 20. 1–16. 1 indexed citations
7.
Schmeling, Daniel, et al.. (2021). Simultaneous tomographic particle image velocimetry and thermometry of turbulent Rayleigh–Bénard convection. Measurement Science and Technology. 32(9). 95201–95201. 13 indexed citations
8.
Bell, James, et al.. (2020). Experimental Investigation of Automotive Vehicle Transient Aerodynamics with a Reduced-Scale Moving-Model Crosswind Facility. SAE International Journal of Advances and Current Practices in Mobility. 2(3). 1460–1471. 2 indexed citations
9.
Schmeling, Daniel, et al.. (2019). A flow-intrinsic trigger for capturing reconfigurations in buoyancy-driven flows in automated PIV. Measurement Science and Technology. 30(4). 45301–45301. 2 indexed citations
10.
Horn, Susanne, Olga Shishkina, & Claus Wagner. (2013). On non-Oberbeck–Boussinesq effects in three-dimensional Rayleigh–Bénard convection in glycerol. Journal of Fluid Mechanics. 724. 175–202. 60 indexed citations
11.
Schmeling, Daniel, Johannes Bosbach, & Claus Wagner. (2011). Feasibility of Combined PIT and PIV in Mixed Convective Air Flows. elib (German Aerospace Center). 84(12). 1094–1100.
12.
Bosbach, Johannes, et al.. (2008). Large scale particle image velocimetry with helium filled soap bubbles. Experiments in Fluids. 46(3). 539–547. 78 indexed citations
13.
Shishkina, Olga, et al.. (2008). Simulation of turbulent thermal convection in complicated domains. Journal of Computational and Applied Mathematics. 226(2). 336–344. 22 indexed citations
14.
Wagner, Claus, Thomas Hüttl, A. Hirschberg, Pierre Sagaut, & Paul Batten. (2007). Large-Eddy Simulation for Acoustics. Cambridge University Press eBooks. 158 indexed citations
15.
Ehrenfried, Klaus, et al.. (2007). Feasibility Study of Tomographic Particle Image Velocimetry for Large Scale Convective Air Flow. California medicine. 88(2). 140–3. 6 indexed citations
16.
Wagner, Claus, Pierre Sagaut, & Thomas Hüttl. (2007). Large-Eddy Simulations for Acoustics. elib (German Aerospace Center). 16 indexed citations
17.
Stoevesandt, Bernhard, et al.. (2006). Direct numerical simulation of the turbulent flow around an airfoil using spectral/HP method. Research Repository (Delft University of Technology). 1 indexed citations
18.
Shishkina, Olga & Claus Wagner. (2005). A fourth order accurate finite volume scheme for numerical simulations of turbulent Rayleigh–Bénard convection in cylindrical containers. Comptes Rendus Mécanique. 333(1). 17–28. 19 indexed citations
19.
Wagner, Claus. (1998). Chaos in the cardiovascular system: an update. Cardiovascular Research. 40(2). 257–264. 101 indexed citations
20.
Wagner, Claus, et al.. (1995). Bilayer Rayleigh—Marangoni convection: transitions in flow structures at the interface. Proceedings of the Royal Society of London Series A Mathematical and Physical Sciences. 451(1942). 487–502. 7 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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