Michael Gauding

894 total citations
47 papers, 596 citations indexed

About

Michael Gauding is a scholar working on Computational Mechanics, Fluid Flow and Transfer Processes and Aerospace Engineering. According to data from OpenAlex, Michael Gauding has authored 47 papers receiving a total of 596 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Computational Mechanics, 20 papers in Fluid Flow and Transfer Processes and 13 papers in Aerospace Engineering. Recurrent topics in Michael Gauding's work include Combustion and flame dynamics (29 papers), Fluid Dynamics and Turbulent Flows (25 papers) and Advanced Combustion Engine Technologies (20 papers). Michael Gauding is often cited by papers focused on Combustion and flame dynamics (29 papers), Fluid Dynamics and Turbulent Flows (25 papers) and Advanced Combustion Engine Technologies (20 papers). Michael Gauding collaborates with scholars based in Germany, France and United Kingdom. Michael Gauding's co-authors include Heinz Pitsch, Christian Hasse, Nils Peters, Mathis Bode, Norbert Peters, Sven C. Vogel, Markus Gampert, Émilien Varea, Luminita Danaila and Jenia Jitsev and has published in prestigious journals such as Journal of Fluid Mechanics, Fuel and Combustion and Flame.

In The Last Decade

Michael Gauding

42 papers receiving 569 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Gauding Germany 13 490 262 133 99 89 47 596
Mathis Bode Germany 16 461 0.9× 232 0.9× 149 1.1× 65 0.7× 35 0.4× 46 590
Peter Flohr Switzerland 16 777 1.6× 473 1.8× 294 2.2× 85 0.9× 199 2.2× 32 864
Y. Levy Israel 17 574 1.2× 295 1.1× 272 2.0× 98 1.0× 15 0.2× 82 815
M. Trinité France 14 533 1.1× 310 1.2× 145 1.1× 48 0.5× 65 0.7× 36 632
Foluso Ladeinde United States 17 617 1.3× 99 0.4× 378 2.8× 45 0.5× 70 0.8× 107 778
Ronan Vicquelin France 18 967 2.0× 619 2.4× 251 1.9× 38 0.4× 75 0.8× 56 1.0k
T. M. Muruganandam India 13 560 1.1× 249 1.0× 284 2.1× 30 0.3× 44 0.5× 57 640
Antony Misdariis France 10 400 0.8× 233 0.9× 178 1.3× 53 0.5× 35 0.4× 13 476
Ghislain Lartigue France 14 972 2.0× 460 1.8× 310 2.3× 67 0.7× 139 1.6× 38 1.1k
Wenjiang Xu United States 12 269 0.5× 82 0.3× 68 0.5× 82 0.8× 53 0.6× 24 431

Countries citing papers authored by Michael Gauding

Since Specialization
Citations

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

Fields of papers citing papers by Michael Gauding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Gauding

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Gauding. A scholar is included among the top collaborators of Michael Gauding 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 Michael Gauding. Michael Gauding 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.
Berger, Lukas, et al.. (2025). Interactions of preferential diffusion and mixture inhomogeneities in hydrogen and iso-octane flame kernels under engine conditions. Combustion and Flame. 274. 113991–113991. 4 indexed citations
2.
Gauding, Michael, et al.. (2025). Effects of intrinsic flame instabilities on nitrogen oxide formation in laminar premixed ammonia/hydrogen/air flames. Proceedings of the Combustion Institute. 41. 105961–105961.
3.
Berger, Lukas, Davide Laera, Marco Günther, et al.. (2025). An extended G -equation formulation for simulating thermodiffusively unstable hydrogen flames. Proceedings of the Combustion Institute. 41. 105945–105945.
4.
Gauding, Michael, et al.. (2025). Structure and nitrogen oxide emissions of confined turbulent hydrogen jet flames. Proceedings of the Combustion Institute. 41. 105851–105851.
5.
Nicolai, Hendrik, et al.. (2025). Numerical investigation and modeling of NOx formation in pulverized biomass flames under air and oxyfuel conditions. Combustion and Flame. 279. 114284–114284.
6.
Nicolai, Hendrik, Muhammad Usman, Lukas Berger, et al.. (2024). Modeling homogeneous ignition processes of clustering solid particle clouds in isotropic turbulence. Fuel. 371. 132054–132054. 1 indexed citations
7.
Berger, Lukas, et al.. (2024). Comprehensive linear stability analysis for intrinsic instabilities in premixed ammonia/hydrogen/air flames. Combustion and Flame. 273. 113927–113927. 5 indexed citations
8.
Berger, Lukas, et al.. (2024). Effects of dilatation and turbulence on tangential strain rates in premixed hydrogen and iso-octane flames. Journal of Fluid Mechanics. 981. 4 indexed citations
9.
Berger, Lukas, et al.. (2023). Effects of turbulence on variations in early development of hydrogen and iso-octane flame kernels under engine conditions. Combustion and Flame. 255. 112914–112914. 12 indexed citations
10.
Bode, Mathis, et al.. (2021). Using physics-informed enhanced super-resolution generative adversarial networks for subfilter modeling in turbulent reactive flows. Proceedings of the Combustion Institute. 38(2). 2617–2625. 90 indexed citations
11.
Gauding, Michael, et al.. (2021). Self-similarity of turbulent jet flows with internal and external intermittency. Journal of Fluid Mechanics. 919. 18 indexed citations
12.
Attili, Antonio, et al.. (2020). A new modeling approach for mixture fraction statistics based on dissipation elements. Proceedings of the Combustion Institute. 38(2). 2681–2689. 10 indexed citations
13.
Attili, Antonio, et al.. (2020). Dissipation element analysis of non-premixed jet flames. Journal of Fluid Mechanics. 905. 7 indexed citations
14.
Gauding, Michael, et al.. (2018). On the self-similarity of line segments in decaying homogeneous isotropic turbulence. Computers & Fluids. 180. 206–217. 9 indexed citations
15.
Scholtissek, Arne, et al.. (2016). In-situ tracking of mixture fraction gradient trajectories and unsteady flamelet analysis in turbulent non-premixed combustion. Combustion and Flame. 175. 243–258. 24 indexed citations
16.
Gauding, Michael, et al.. (2014). Statistics and Scaling Laws of Turbulent Mixing at High Reynolds Numbers. Bulletin of the American Physical Society. 2 indexed citations
17.
Gampert, Markus, et al.. (2014). The vorticity versus the scalar criterion for the detection of the turbulent/non-turbulent interface. Journal of Fluid Mechanics. 750. 578–596. 49 indexed citations
18.
Hartmann, F., et al.. (2014). Analysis of Various Scale Resolving Turbulence Models to Capture Cycle-to-Cycle Variations in IC Engines. 1 indexed citations
19.
Jerzembeck, Sven, et al.. (2009). EXPERIMENTAL DATA AND NUMERICAL SIMULATION OF COMMON-RAIL ETHANOL SPRAYS AT DIESEL ENGINE-LIKE CONDITIONS. Atomization and Sprays. 19(4). 357–386. 21 indexed citations
20.
Gauding, Michael, et al.. (2008). Evaluation of Modeling Approaches for NOx Formation in a Common-Rail DI Diesel Engine within the Framework of RepresentativeInteractive Flamelets (RIF). SAE technical papers on CD-ROM/SAE technical paper series. 1. 8 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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