Ralf Deiterding

3.0k total citations
120 papers, 2.0k citations indexed

About

Ralf Deiterding is a scholar working on Aerospace Engineering, Computational Mechanics and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Ralf Deiterding has authored 120 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Aerospace Engineering, 82 papers in Computational Mechanics and 42 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Ralf Deiterding's work include Combustion and Detonation Processes (66 papers), Computational Fluid Dynamics and Aerodynamics (49 papers) and Fire dynamics and safety research (42 papers). Ralf Deiterding is often cited by papers focused on Combustion and Detonation Processes (66 papers), Computational Fluid Dynamics and Aerodynamics (49 papers) and Fire dynamics and safety research (42 papers). Ralf Deiterding collaborates with scholars based in United Kingdom, China and United States. Ralf Deiterding's co-authors include Xiaodong Cai, Jianhan Liang, D. I. Pullin, Stuart J. Laurence, Sean Mauch, Zhiyong Lin, J. E. Shepherd, Yasser Mahmoudi, Mingbo Sun and Fehmi Cirak and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Fluid Mechanics and Journal of Computational Physics.

In The Last Decade

Ralf Deiterding

113 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ralf Deiterding United Kingdom 26 1.4k 1.3k 785 396 262 120 2.0k
В. Б. Бетелин Russia 14 1.1k 0.8× 1.2k 1.0× 253 0.3× 337 0.9× 251 1.0× 64 1.9k
G. J. Sharpe United Kingdom 22 1.1k 0.8× 596 0.5× 516 0.7× 534 1.3× 151 0.6× 51 1.3k
Lars-Erik Eriksson Sweden 26 1.9k 1.3× 1.8k 1.4× 821 1.0× 318 0.8× 76 0.3× 121 2.4k
Vadim N. Gamezo United States 24 2.4k 1.7× 985 0.8× 1.6k 2.1× 956 2.4× 111 0.4× 53 3.0k
Jialing Le China 25 1.3k 0.9× 1.5k 1.2× 184 0.2× 148 0.4× 137 0.5× 110 1.9k
William H. Heiser United States 15 1.8k 1.2× 1.5k 1.2× 267 0.3× 260 0.7× 530 2.0× 47 2.4k
Charles Merkle United States 35 2.0k 1.4× 4.1k 3.2× 215 0.3× 916 2.3× 577 2.2× 250 5.1k
Ann Karagozian United States 27 1.7k 1.2× 2.5k 2.0× 271 0.3× 106 0.3× 101 0.4× 132 2.8k
A. K. Kapila United States 24 846 0.6× 1.2k 1.0× 160 0.2× 498 1.3× 551 2.1× 56 1.9k
K. Kailasanath United States 36 5.0k 3.4× 2.6k 2.1× 2.5k 3.2× 1.7k 4.3× 224 0.9× 201 5.7k

Countries citing papers authored by Ralf Deiterding

Since Specialization
Citations

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

Fields of papers citing papers by Ralf Deiterding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ralf Deiterding

This figure shows the co-authorship network connecting the top 25 collaborators of Ralf Deiterding. A scholar is included among the top collaborators of Ralf Deiterding 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 Ralf Deiterding. Ralf Deiterding 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.
Deiterding, Ralf, et al.. (2025). An efficient GPU-accelerated adaptive mesh refinement framework for high-fidelity compressible reactive flows modeling. Computer Physics Communications. 318. 109870–109870.
2.
Deiterding, Ralf, et al.. (2025). An adaptive solver for accurate simulation of multicomponent shock-interface problems for thermally perfect species. Computers & Fluids. 291. 106587–106587. 2 indexed citations
3.
Deiterding, Ralf, et al.. (2024). High-resolution numerical simulation of rotating detonation waves with parallel adaptive mesh refinement. Applications in Energy and Combustion Science. 21. 100316–100316.
4.
Lee, John H. S., et al.. (2024). The criticality of detonation transmission across hydrogen interfaces with non-uniform dilution. Proceedings of the Combustion Institute. 40(1-4). 105781–105781. 1 indexed citations
5.
Deiterding, Ralf, et al.. (2023). A three-dimensional solver for simulating detonation on curvilinear adaptive meshes. Computer Physics Communications. 288. 108752–108752. 6 indexed citations
6.
Cai, Xiaodong, et al.. (2023). Effects of activation energy on irregular detonation structures in supersonic flow. Physics of Fluids. 35(12). 5 indexed citations
7.
Dai, Jian, et al.. (2023). Detonation stabilization in supersonic expanding channel with velocity gradients. Physics of Fluids. 35(7). 3 indexed citations
8.
Cai, Xiaodong, et al.. (2023). An experimental study of detonation initiation in supersonic flow using a hot jet. Combustion and Flame. 249. 112613–112613. 9 indexed citations
9.
Wang, Yuan, et al.. (2023). Effects of Dilution and Pressure on Detonation Propagation Across an Inert Layer. AIAA Journal. 61(4). 1540–1547. 2 indexed citations
10.
Liang, Jianhan, et al.. (2022). A numerical study of the rapid deflagration-to-detonation transition. Physics of Fluids. 34(11). 7 indexed citations
11.
Zhong, Lijia, et al.. (2022). Effects of fluctuations in concentration on detonation propagation. Physics of Fluids. 34(7). 8 indexed citations
12.
Wang, Yuan, et al.. (2020). Propagation of gaseous detonation across inert layers. Proceedings of the Combustion Institute. 38(3). 3555–3563. 26 indexed citations
13.
Huang, Yue, et al.. (2018). Effects of jet in crossflow on flame acceleration and deflagration to detonation transition in methane–oxygen mixture. Combustion and Flame. 198. 69–80. 72 indexed citations
14.
Deiterding, Ralf, et al.. (2018). DNS of Hypersonic Flow over Porous Surfaces with a Hybrid Method. 2018 AIAA Aerospace Sciences Meeting. 3 indexed citations
15.
Chen, Xi, et al.. (2016). Investigation of shock focusing in a cavity with incident shock diffracted by an obstacle. Shock Waves. 27(2). 169–177. 2 indexed citations
16.
Deiterding, Ralf, et al.. (2015). A Dynamically Adaptive Lattice Boltzmann Method for Predicting Wake Phenomena in Fully Coupled Wind Engineering Problems. ePrints Soton (University of Southampton). 489–500. 1 indexed citations
17.
Perotti, Luigi E., Ralf Deiterding, Kazuaki Inaba, J. E. Shepherd, & M. Ortíz. (2012). Elastic response of water-filled fiber composite tubes under shock wave loading. International Journal of Solids and Structures. 50(3-4). 473–486. 19 indexed citations
18.
Laurence, Stuart J., Ralf Deiterding, & G. Hornung. (2007). Proximal bodies in hypersonic flow. Journal of Fluid Mechanics. 590. 209–237. 44 indexed citations
19.
Deiterding, Ralf & Sean Mauch. (2006). A Cartesian Structured AMR Framework for Parallel Fluid-Structure Interaction Simulation. 한국전산유체공학회 학술대회논문집. 219–222. 1 indexed citations
20.
Pantano, Carlos, Ralf Deiterding, D. J. Hill, & D. I. Pullin. (2005). Large Eddy simulation of compressible flows with a low-numerical dissipation patch-based adaptive mesh refinement method. Bulletin of the American Physical Society. 58. 1 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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