Daniel Schmeling

460 total citations
46 papers, 278 citations indexed

About

Daniel Schmeling is a scholar working on Aerospace Engineering, Pulmonary and Respiratory Medicine and Computational Mechanics. According to data from OpenAlex, Daniel Schmeling has authored 46 papers receiving a total of 278 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Aerospace Engineering, 18 papers in Pulmonary and Respiratory Medicine and 16 papers in Computational Mechanics. Recurrent topics in Daniel Schmeling's work include Infection Control and Ventilation (18 papers), Aerodynamics and Fluid Dynamics Research (17 papers) and Wind and Air Flow Studies (14 papers). Daniel Schmeling is often cited by papers focused on Infection Control and Ventilation (18 papers), Aerodynamics and Fluid Dynamics Research (17 papers) and Wind and Air Flow Studies (14 papers). Daniel Schmeling collaborates with scholars based in Germany, United States and India. Daniel Schmeling's co-authors include Johannes Bosbach, Claus Wagner, Robert R. Inman, M. Yu. Konstantinov, Jaywant H. Arakeri, Baburaj A. Puthenveettil, Markus Kuhn, Stefan Winter, Matthias Kühn and Peter J. de Lange and has published in prestigious journals such as Journal of Fluid Mechanics, Building and Environment and International Journal of Production Research.

In The Last Decade

Daniel Schmeling

40 papers receiving 270 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 Schmeling Germany 11 106 98 79 72 51 46 278
Takamasa Hasama Japan 9 41 0.4× 206 2.1× 62 0.8× 111 1.5× 18 0.4× 21 353
Shima Yazdani Iran 10 103 1.0× 53 0.5× 6 0.1× 98 1.4× 15 0.3× 22 280
Ruibin Li China 11 19 0.2× 205 2.1× 101 1.3× 61 0.8× 18 0.4× 26 312
Donald Kneale Alexander United Kingdom 4 27 0.3× 295 3.0× 67 0.8× 134 1.9× 9 0.2× 6 331
Jelena Andrić Sweden 12 43 0.4× 34 0.3× 2 0.0× 25 0.3× 20 0.4× 29 406
Bingjie Guo Norway 11 111 1.0× 148 1.5× 8 0.1× 38 0.5× 232 4.5× 23 361
M.P.N. Spruijt Netherlands 11 29 0.3× 231 2.4× 4 0.1× 141 2.0× 82 1.6× 21 379
L. Audouin France 16 107 1.0× 164 1.7× 7 0.1× 350 4.9× 276 5.4× 41 743
Juan A. Hernández Ramos Spain 11 93 0.9× 130 1.3× 3 0.0× 20 0.3× 16 0.3× 34 352
Young Chul Song South Korea 9 23 0.2× 14 0.1× 6 0.1× 4 0.1× 12 0.2× 13 424

Countries citing papers authored by Daniel Schmeling

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Schmeling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Schmeling

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Schmeling. A scholar is included among the top collaborators of Daniel Schmeling 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 Schmeling. Daniel Schmeling 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.
Schüler, Tim, et al.. (2025). A Non-Planar ReBCO Test Coil With 3D-Printed Aluminum Support Structure for the EPOS Stellarator. IEEE Transactions on Applied Superconductivity. 36(3). 1–5. 1 indexed citations
2.
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.
3.
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
4.
Schmeling, Daniel, et al.. (2024). Experimental evaluation of alternative ceiling-based ventilation systems for long-range passenger aircraft. CEAS Aeronautical Journal. 15(4). 1031–1050. 1 indexed citations
5.
Schmeling, Daniel, et al.. (2024). Multi-jet personalized ventilation in passenger trains: Objective and subjective thermal comfort. Building and Environment. 270. 112510–112510. 3 indexed citations
6.
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
7.
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
8.
Schmeling, Daniel, et al.. (2023). Numerical and experimental study of aerosol dispersion in the Do728 aircraft cabin. CEAS Aeronautical Journal. 14(2). 509–526. 7 indexed citations
9.
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
10.
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
11.
Lange, Peter J. de, et al.. (2019). Comparison of local equivalent temperatures and subjective thermal comfort ratings with regard to passenger comfort in a train compartment. IOP Conference Series Materials Science and Engineering. 609(3). 32042–32042. 4 indexed citations
12.
Schmeling, Daniel & Johannes Bosbach. (2017). On the influence of sensible heat release on displacement ventilation in a train compartment. Building and Environment. 125. 248–260. 25 indexed citations
13.
Schmeling, Daniel, et al.. (2016). Experimental analysis of different ventilation concepts for the passenger compartment of a generic car. elib (German Aerospace Center). 2 indexed citations
14.
Schmeling, Daniel, Stefan Winter, Johannes Bosbach, & Claus Wagner. (2016). On the Influence of the Aspect Ratio on Structure Formation in Turbulent Mixed Convection. elib (German Aerospace Center). 1 indexed citations
15.
Winter, Joachim, et al.. (2016). Passenger Comfort for the Next Generation Train: Excellent Comfort. Civil-comp proceedings. 1 indexed citations
16.
Schmeling, Daniel, Johannes Bosbach, & Claus Wagner. (2014). Simultaneous measurement of temperature and velocity fields in convective air flows. Measurement Science and Technology. 25(3). 35302–35302. 19 indexed citations
17.
Schmeling, Daniel, Johannes Bosbach, & Claus Wagner. (2013). Oscillations of the large-scale circulation in turbulent mixed convection in a closed rectangular cavity. Experiments in Fluids. 54(5). 11 indexed citations
18.
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.
19.
Bosbach, Johannes, et al.. (2010). Experimental study of low-frequency oscillations and large-scale circulations in turbulent mixed convection. International Journal of Heat and Fluid Flow. 31(5). 794–804. 11 indexed citations
20.
Schmeling, Daniel, et al.. (2010). Development of Combined Particle Image Velocimetry and Particle Image Thermography for Air Flows. elib (German Aerospace Center). 57–64. 5 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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