Markus Klein

6.6k total citations · 1 hit paper
238 papers, 4.6k citations indexed

About

Markus Klein is a scholar working on Computational Mechanics, Fluid Flow and Transfer Processes and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Markus Klein has authored 238 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 203 papers in Computational Mechanics, 97 papers in Fluid Flow and Transfer Processes and 51 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Markus Klein's work include Combustion and flame dynamics (133 papers), Advanced Combustion Engine Technologies (94 papers) and Fluid Dynamics and Turbulent Flows (81 papers). Markus Klein is often cited by papers focused on Combustion and flame dynamics (133 papers), Advanced Combustion Engine Technologies (94 papers) and Fluid Dynamics and Turbulent Flows (81 papers). Markus Klein collaborates with scholars based in Germany, United Kingdom and United States. Markus Klein's co-authors include J. Janicka, Nilanjan Chakraborty, Amsini Sadiki, Josef Haßlberger, Umair Ahmed, R.S. Cant, Andreas Kempf, İsmail Çelik, Martin Freitag and N. Swaminathan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Fluid Mechanics and Journal of Hazardous Materials.

In The Last Decade

Markus Klein

218 papers receiving 4.5k citations

Hit Papers

A digital filter based generation of inflow data for spat... 2003 2026 2010 2018 2003 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A digital filter based generation of inflow data for spatially developing direct numerical or large eddy simulations
    2003 994 citations Markus Klein et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Markus Klein Germany 33 4.1k 1.9k 1.1k 1.1k 911 238 4.6k
Bénédicte Cuenot France 39 3.7k 0.9× 2.1k 1.1× 1.2k 1.0× 888 0.8× 346 0.4× 155 4.5k
Daniel C. Haworth United States 40 4.5k 1.1× 3.4k 1.8× 879 0.8× 778 0.7× 682 0.7× 115 5.2k
F. Ducros France 18 4.6k 1.1× 950 0.5× 2.2k 1.9× 624 0.6× 993 1.1× 26 5.5k
J. Janicka Germany 45 6.8k 1.6× 3.6k 1.9× 1.8k 1.5× 1.8k 1.6× 1.3k 1.4× 269 7.5k
Laurent Gicquel France 37 4.4k 1.1× 1.9k 1.0× 1.9k 1.6× 832 0.8× 578 0.6× 177 4.6k
Luc Vervisch France 43 6.8k 1.6× 4.7k 2.5× 1.4k 1.2× 2.4k 2.2× 594 0.7× 168 7.2k
James F. Driscoll United States 47 6.6k 1.6× 3.2k 1.7× 2.5k 2.2× 1.7k 1.5× 417 0.5× 198 7.0k
Denis Veynante France 31 3.5k 0.9× 2.6k 1.4× 996 0.9× 1.5k 1.3× 371 0.4× 69 4.5k
R.S. Cant United Kingdom 43 3.7k 0.9× 2.9k 1.5× 915 0.8× 1.9k 1.8× 393 0.4× 117 4.1k
Wolfgang Polifke Germany 40 5.2k 1.2× 3.3k 1.8× 1.6k 1.4× 1.4k 1.3× 1.6k 1.7× 291 5.8k

Countries citing papers authored by Markus Klein

Since Specialization
Citations

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

Fields of papers citing papers by Markus Klein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Klein

This figure shows the co-authorship network connecting the top 25 collaborators of Markus Klein. A scholar is included among the top collaborators of Markus Klein 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 Markus Klein. Markus Klein 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.
Klein, Markus, et al.. (2025). A-posteriori assessment of mixed models for Large Eddy Simulation of polydisperse multiphase flows. International Journal of Multiphase Flow. 189. 105231–105231.
2.
Ferrero, Andrea, et al.. (2025). A Chemical Reactor Network methodology for estimating NO x emissions under non-premixed lean hydrogen combustion with water injection. International Journal of Hydrogen Energy. 168. 150561–150561.
3.
Hofmann, Manfred, Matthias Greiner, Markus Klein, Matthias Oechsner, & Christian Mittelstedt. (2025). Shape Function-Based Strain Determination in DIC for Solids and Lattice Structures. Experimental Mechanics. 65(5). 637–652. 1 indexed citations
4.
5.
Haßlberger, Josef, et al.. (2024). Toward large eddy simulation of shear-thinning liquid jets: A priori analysis of subgrid scale closures for multiphase flows. Physics of Fluids. 36(8). 1 indexed citations
6.
Chakraborty, Nilanjan, et al.. (2024). A Comparison of Evaluation Methodologies of the Fractal Dimension of Premixed Turbulent Flames in 2D and 3D Using Direct Numerical Simulation Data. Flow Turbulence and Combustion. 113(4). 1145–1160. 3 indexed citations
7.
Klein, Markus, et al.. (2024). Primary atomization of shear-thinning liquid jets: a direct numerical simulation study. Scientific Reports. 14(1). 23896–23896. 7 indexed citations
8.
9.
Pfitzner, Michael, et al.. (2023). Assessment of the Thermodynamic and Numerical Modeling of LES of Multi-Component Jet Mixing at High Pressure. Energies. 16(5). 2113–2113. 2 indexed citations
10.
Klein, Markus, et al.. (2023). Effect of the Density Ratio on Emulsions and Their Segregation: A Direct Numerical Simulation Study. Energies. 16(7). 3160–3160. 7 indexed citations
11.
Ahmed, Umair, Nilanjan Chakraborty, & Markus Klein. (2023). Influence of Flow Configuration and Thermal Wall Boundary Conditions on Turbulence During Premixed Flame-Wall Interaction within Low Reynolds Number Boundary Layers. Flow Turbulence and Combustion. 111(3). 825–866. 12 indexed citations
12.
Haßlberger, Josef, et al.. (2023). Direct numerical simulation of an unsteady wall-bounded turbulent flow configuration for the assessment of large-eddy simulation models. Scientific Reports. 13(1). 11202–11202. 1 indexed citations
13.
Haßlberger, Josef, et al.. (2023). Surface topologies and self interactions in reactive and nonreactive Richtmyer–Meshkov instability. Scientific Reports. 13(1). 837–837. 3 indexed citations
14.
Glatzle, Martin, et al.. (2022). Thermodynamic modeling for numerical simulations based on the generalized cubic equation of state. Physics of Fluids. 34(11). 4 indexed citations
15.
16.
Chakraborty, Nilanjan, et al.. (2021). Effect of non-ambient pressure conditions and Lewis number variation on direct numerical simulation of turbulent Bunsen flames at low turbulence intensity. Combustion and Flame. 231. 111500–111500. 19 indexed citations
17.
18.
Haßlberger, Josef, et al.. (2018). FLM volume 859 Cover and Front matter. Journal of Fluid Mechanics. 859. f1–f4. 1 indexed citations
19.
20.
Klein, Markus, et al.. (2018). A-priori assessment of subgrid scale models for large-eddy simulation of multiphase primary breakup. Computers & Fluids. 165. 64–77. 21 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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