G. Kuenne

986 total citations
26 papers, 864 citations indexed

About

G. Kuenne is a scholar working on Computational Mechanics, Fluid Flow and Transfer Processes and Safety, Risk, Reliability and Quality. According to data from OpenAlex, G. Kuenne has authored 26 papers receiving a total of 864 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computational Mechanics, 22 papers in Fluid Flow and Transfer Processes and 15 papers in Safety, Risk, Reliability and Quality. Recurrent topics in G. Kuenne's work include Combustion and flame dynamics (26 papers), Advanced Combustion Engine Technologies (22 papers) and Fire dynamics and safety research (15 papers). G. Kuenne is often cited by papers focused on Combustion and flame dynamics (26 papers), Advanced Combustion Engine Technologies (22 papers) and Fire dynamics and safety research (15 papers). G. Kuenne collaborates with scholars based in Germany, United States and Australia. G. Kuenne's co-authors include J. Janicka, Anja Ketelheun, Andreas Dreizler, Amsini Sadiki, Francesca di Mare, Christian Hasse, Dirk Geyer, Lukas G. Becker, Frederik Fuest and Christopher Jainski and has published in prestigious journals such as Fuel, Combustion and Flame and Proceedings of the Combustion Institute.

In The Last Decade

G. Kuenne

25 papers receiving 850 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. Kuenne Germany 16 845 639 390 158 132 26 864
B. Dally Australia 10 861 1.0× 682 1.1× 328 0.8× 108 0.7× 86 0.7× 26 893
Inge R. Gran Norway 7 565 0.7× 412 0.6× 199 0.5× 120 0.8× 120 0.9× 11 609
Nicholas Syred United Kingdom 8 989 1.2× 571 0.9× 297 0.8× 85 0.5× 234 1.8× 32 1.0k
Steffen Terhaar Germany 18 811 1.0× 502 0.8× 147 0.4× 71 0.4× 247 1.9× 44 868
Lukas Berger Germany 15 818 1.0× 704 1.1× 164 0.4× 87 0.6× 371 2.8× 41 885
Matthieu Boileau France 13 878 1.0× 571 0.9× 328 0.8× 48 0.3× 247 1.9× 20 905
Stefano Orsino United States 9 534 0.6× 332 0.5× 151 0.4× 184 1.2× 93 0.7× 42 583
Anja Ketelheun Germany 9 559 0.7× 439 0.7× 277 0.7× 77 0.5× 66 0.5× 15 562
V. L. Zimont Italy 10 796 0.9× 567 0.9× 425 1.1× 51 0.3× 337 2.6× 29 904
Soufien Taamallah United States 9 768 0.9× 611 1.0× 238 0.6× 51 0.3× 248 1.9× 13 862

Countries citing papers authored by G. Kuenne

Since Specialization
Citations

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

Fields of papers citing papers by G. Kuenne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Kuenne

This figure shows the co-authorship network connecting the top 25 collaborators of G. Kuenne. A scholar is included among the top collaborators of G. Kuenne 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 G. Kuenne. G. Kuenne 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.
Nicolai, Hendrik, G. Kuenne, Lukas G. Becker, et al.. (2020). Large Eddy Simulation of a laboratory-scale gas-assisted pulverized coal combustion chamber under oxy-fuel atmospheres using tabulated chemistry. Fuel. 272. 117683–117683. 30 indexed citations
2.
Popp, Sebastian, G. Kuenne, J. Janicka, & Christian Hasse. (2019). An extended artificial thickening approach for strained premixed flames. Combustion and Flame. 206. 252–265. 23 indexed citations
3.
Ries, Florian, et al.. (2019). Analysis of Shear Effects on Mixing and Reaction Layers in Premixed Turbulent Stratified Flames using LES coupled to Tabulated Chemistry. Combustion Science and Technology. 194(2). 242–257. 4 indexed citations
4.
Kuenne, G., Lukas G. Becker, Francesca di Mare, et al.. (2018). Large Eddy Simulation of a Novel Gas-Assisted Coal Combustion Chamber. Flow Turbulence and Combustion. 101(3). 895–926. 35 indexed citations
5.
Kronenburg, Andreas, Oliver T. Stein, G. Kuenne, et al.. (2018). Multiple mapping conditioning coupled with an artificially thickened flame model for turbulent premixed combustion. Combustion and Flame. 196. 325–336. 10 indexed citations
6.
Kuenne, G., et al.. (2018). Description of the char conversion process in coal combustion based on premixed FGM chemistry. Fuel. 236. 124–134. 24 indexed citations
7.
8.
Han, Wang, Haiou Wang, G. Kuenne, et al.. (2018). Large eddy simulation/dynamic thickened flame modeling of a high Karlovitz number turbulent premixed jet flame. Proceedings of the Combustion Institute. 37(2). 2555–2563. 51 indexed citations
9.
Kuenne, G., et al.. (2017). 3D Numerical Simulation of a Laminar Experimental SWQ Burner with Tabulated Chemistry. Flow Turbulence and Combustion. 100(2). 535–559. 20 indexed citations
10.
Kuenne, G., et al.. (2017). Assessment of subgrid interpolation for the source term evaluation within premixed combustion simulations. Combustion and Flame. 178. 225–256. 9 indexed citations
11.
Kuenne, G., et al.. (2017). Understanding the Influences of Thermal and Mixture Inhomogeneities on the Auto-Ignition Process in a Controlled Auto-Ignition (CAI) Engine Using LES. Oil & Gas Science and Technology – Revue d’IFP Energies nouvelles. 72(6). 33–33.
12.
Kuenne, G., et al.. (2017). Numerical analysis of laminar methane–air side-wall-quenching. Combustion and Flame. 186. 299–310. 57 indexed citations
13.
He, Chao, G. Kuenne, J.A. van Oijen, et al.. (2017). Evaluation of the flame propagation within an SI engine using flame imaging and LES. Combustion Theory and Modelling. 21(6). 1080–1113. 10 indexed citations
14.
Kuenne, G., Anja Ketelheun, Jan Köser, et al.. (2016). Devolatilization and volatiles reaction of individual coal particles in the context of FGM tabulated chemistry. Combustion and Flame. 169. 72–84. 47 indexed citations
15.
Kuenne, G., et al.. (2016). Flow Physics of a Bluff-Body Swirl Stabilized Flame and their Prediction by Means of a Joint Eulerian Stochastic Field and Tabulated Chemistry Approach. Flow Turbulence and Combustion. 97(4). 1185–1210. 9 indexed citations
16.
Kuenne, G., et al.. (2016). LES combustion modeling using the Eulerian stochastic field method coupled with tabulated chemistry. Combustion and Flame. 175. 201–219. 39 indexed citations
17.
Fiorina, Benoît, Renaud Mercier, G. Kuenne, et al.. (2015). Challenging modeling strategies for LES of non-adiabatic turbulent stratified combustion. Combustion and Flame. 162(11). 4264–4282. 76 indexed citations
18.
Kuenne, G., et al.. (2014). A Numerical Study of the Flame Stabilization Mechanism Being Determined by Chemical Reaction Rates Submitted to Heat Transfer Processes. Zeitschrift für Physikalische Chemie. 229(5). 643–662. 7 indexed citations
19.
Ketelheun, Anja, G. Kuenne, & J. Janicka. (2013). Heat Transfer Modeling in the Context of Large Eddy Simulation of Premixed Combustion with Tabulated Chemistry. Flow Turbulence and Combustion. 91(4). 867–893. 68 indexed citations
20.
Kuenne, G., Anja Ketelheun, & J. Janicka. (2011). LES modeling of premixed combustion using a thickened flame approach coupled with FGM tabulated chemistry. Combustion and Flame. 158(9). 1750–1767. 143 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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