Martin Rieth

1.0k total citations
31 papers, 848 citations indexed

About

Martin Rieth is a scholar working on Computational Mechanics, Fluid Flow and Transfer Processes and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Martin Rieth has authored 31 papers receiving a total of 848 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computational Mechanics, 15 papers in Fluid Flow and Transfer Processes and 9 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Martin Rieth's work include Combustion and flame dynamics (26 papers), Advanced Combustion Engine Technologies (15 papers) and Thermochemical Biomass Conversion Processes (9 papers). Martin Rieth is often cited by papers focused on Combustion and flame dynamics (26 papers), Advanced Combustion Engine Technologies (15 papers) and Thermochemical Biomass Conversion Processes (9 papers). Martin Rieth collaborates with scholars based in Germany, United States and Portugal. Martin Rieth's co-authors include Andreas Kempf, Jacqueline H. Chen, Andrea Gruber, Oliver T. Stein, Fabian Proch, M. Rabaçal, Andreas Kronenburg, James R. Dawson, Samuel Wiseman and Forman A. Williams and has published in prestigious journals such as SHILAP Revista de lepidopterología, Fuel and Combustion and Flame.

In The Last Decade

Martin Rieth

30 papers receiving 832 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martin Rieth Germany 15 765 487 339 196 196 31 848
Sadegh Tabejamaat Iran 18 1.1k 1.4× 817 1.7× 145 0.4× 209 1.1× 378 1.9× 60 1.1k
Francisco E. Hernández Pérez Saudi Arabia 20 911 1.2× 787 1.6× 99 0.3× 213 1.1× 369 1.9× 82 1.0k
Émilien Varea France 12 584 0.8× 489 1.0× 113 0.3× 118 0.6× 238 1.2× 27 673
Armin Wehrfritz Australia 18 743 1.0× 718 1.5× 106 0.3× 91 0.5× 301 1.5× 33 850
Thorsten Zirwes Germany 18 806 1.1× 614 1.3× 69 0.2× 163 0.8× 313 1.6× 77 886
Markus Baum Germany 10 1.0k 1.3× 520 1.1× 387 1.1× 275 1.4× 265 1.4× 20 1.2k
Hua Zhou China 16 585 0.8× 497 1.0× 54 0.2× 112 0.6× 175 0.9× 78 693
Francesca di Mare Germany 16 666 0.9× 340 0.7× 184 0.5× 145 0.7× 241 1.2× 79 810
Ghenadie Bulat United Kingdom 11 706 0.9× 568 1.2× 61 0.2× 141 0.7× 158 0.8× 28 800
Benedetta Franzelli France 14 940 1.2× 683 1.4× 72 0.2× 287 1.5× 262 1.3× 31 1.0k

Countries citing papers authored by Martin Rieth

Since Specialization
Citations

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

Fields of papers citing papers by Martin Rieth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Rieth

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Rieth. A scholar is included among the top collaborators of Martin Rieth 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 Martin Rieth. Martin Rieth 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.
Kolla, Hemanth, Martin Rieth, Jacqueline H. Chen, et al.. (2025). In situ multi-tier auto-ignition detection applied to dual-fuel combustion simulations. Combustion and Flame. 279. 114273–114273. 1 indexed citations
2.
Rieth, Martin, Andrea Gruber, Evatt R. Hawkes, & Jacqueline H. Chen. (2024). Direct numerical simulation of low-emission ammonia rich-quench-lean combustion. Proceedings of the Combustion Institute. 40(1-4). 105558–105558. 1 indexed citations
3.
Rieth, Martin, Eric Mayhew, Jacob Temme, et al.. (2024). Numerical and experimental investigation of single and multi-injection ignition of F-24/ATJ blends. Proceedings of the Combustion Institute. 40(1-4). 105341–105341.
4.
Ge, Wenjun, Martin Rieth, Marco Arienti, et al.. (2024). PeleMP: The Multiphysics Solver for the Combustion Pele Adaptive Mesh Refinement Code Suite. Journal of Fluids Engineering. 146(4). 5 indexed citations
5.
Rieth, Martin, et al.. (2023). Acceleration of turbulent combustion DNS via principal component transport. Combustion and Flame. 255. 112903–112903. 11 indexed citations
6.
Rieth, Martin, Andrea Gruber, & Jacqueline H. Chen. (2023). The effect of pressure on lean premixed hydrogen-air flames. Combustion and Flame. 250. 112514–112514. 47 indexed citations
7.
Rieth, Martin, Andrea Gruber, & Jacqueline H. Chen. (2023). A direct numerical simulation study on NO and N 2 O formation in turbulent premixed ammonia/hydrogen/nitrogen-air flames. Proceedings of the Combustion Institute. 39(2). 2279–2288. 20 indexed citations
8.
Esclapez, Lucas, Marc Henry de Frahan, Malik Hassanaly, et al.. (2023). Visualizations of a methane/diesel RCCI engine using PeleC and PeleLMeX. Physical Review Fluids. 8(11). 2 indexed citations
9.
10.
Wiseman, Samuel, Martin Rieth, Andrea Gruber, James R. Dawson, & Jacqueline H. Chen. (2020). A comparison of the blow-out behavior of turbulent premixed ammonia/hydrogen/nitrogen-air and methane–air flames. Proceedings of the Combustion Institute. 38(2). 2869–2876. 132 indexed citations
11.
Rabaçal, M., Mário Costa, Martin Rieth, & Andreas Kempf. (2020). Particle history from massively parallel large eddy simulations of pulverised coal combustion in a large-scale laboratory furnace. Fuel. 271. 117587–117587. 8 indexed citations
12.
Rieth, Martin, Marc Day, Tianfeng Lu, et al.. (2019). Direct Numerical Simulation of Multi-Injection Ignition in Low-Temperature Compression Ignition Environments. Bulletin of the American Physical Society. 2 indexed citations
13.
Rieth, Martin, Andreas Kempf, Oliver T. Stein, et al.. (2018). Evaluation of a flamelet/progress variable approach for pulverized coal combustion in a turbulent mixing layer. Proceedings of the Combustion Institute. 37(3). 2927–2934. 34 indexed citations
14.
Rieth, Martin, M. Rabaçal, Andreas Kempf, Andreas Kronenburg, & Oliver T. Stein. (2018). Carrier-Phase DNS of Biomass Particle Ignition and Volatile Burning in a Turbulent Mixing Layer. SHILAP Revista de lepidopterología. 65. 37–42. 6 indexed citations
15.
Stein, Oliver T., et al.. (2018). Coal particle volatile combustion and flame interaction. Part I: Characterization of transient and group effects. Fuel. 229. 262–269. 38 indexed citations
16.
Stein, Oliver T., et al.. (2018). Coal particle volatile combustion and flame interaction. Part II: Effects of particle Reynolds number and turbulence. Fuel. 234. 723–731. 36 indexed citations
17.
Rieth, Martin, Andreas Kempf, Andreas Kronenburg, & Oliver T. Stein. (2017). Carrier-phase DNS of pulverized coal particle ignition and volatile burning in a turbulent mixing layer. Fuel. 212. 364–374. 54 indexed citations
18.
Rieth, Martin, et al.. (2016). Highly resolved flamelet LES of a semi-industrial scale coal furnace. Proceedings of the Combustion Institute. 36(3). 3371–3379. 24 indexed citations
19.
Rieth, Martin, et al.. (2016). Flamelet LES modeling of coal combustion with detailed devolatilization by directly coupled CPD. Proceedings of the Combustion Institute. 36(2). 2181–2189. 91 indexed citations
20.
Rieth, Martin, et al.. (2014). Comparison of the Sigma and Smagorinsky LES models for grid generated turbulence and a channel flow. Computers & Fluids. 99. 172–181. 47 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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