Oskar Haidn

3.1k total citations
236 papers, 2.4k citations indexed

About

Oskar Haidn is a scholar working on Aerospace Engineering, Computational Mechanics and Fluid Flow and Transfer Processes. According to data from OpenAlex, Oskar Haidn has authored 236 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 182 papers in Aerospace Engineering, 179 papers in Computational Mechanics and 71 papers in Fluid Flow and Transfer Processes. Recurrent topics in Oskar Haidn's work include Rocket and propulsion systems research (144 papers), Combustion and flame dynamics (91 papers) and Advanced Combustion Engine Technologies (71 papers). Oskar Haidn is often cited by papers focused on Rocket and propulsion systems research (144 papers), Combustion and flame dynamics (91 papers) and Advanced Combustion Engine Technologies (71 papers). Oskar Haidn collaborates with scholars based in Germany, China and India. Oskar Haidn's co-authors include Shashi B. Verma, Dmitry Suslov, Nikolaos Perakis, Ralf Stark, Jörg Riccius, Richard D. Arnold, Silong Zhang, Michael Oschwald, Wen Bao and N. Slavinskaya and has published in prestigious journals such as Journal of Computational Physics, International Journal of Hydrogen Energy and International Journal of Heat and Mass Transfer.

In The Last Decade

Oskar Haidn

222 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Oskar Haidn Germany 25 1.9k 1.6k 636 323 246 236 2.4k
Ananthanarayanan Veeraragavan Australia 30 1.4k 0.7× 667 0.4× 517 0.8× 382 1.2× 188 0.8× 83 2.0k
Johan Steelant Netherlands 25 1.7k 0.9× 1.4k 0.9× 141 0.2× 268 0.8× 622 2.5× 191 2.2k
Francesco Nasuti Italy 34 2.2k 1.1× 2.4k 1.5× 370 0.6× 197 0.6× 786 3.2× 197 3.2k
James S. T’ien United States 29 1.8k 1.0× 1.4k 0.9× 538 0.8× 58 0.2× 97 0.4× 144 2.8k
Tarun Mathur United States 23 1.5k 0.8× 1.1k 0.7× 175 0.3× 101 0.3× 191 0.8× 44 1.9k
David T. Pratt United States 12 1.4k 0.7× 1.6k 1.0× 198 0.3× 120 0.4× 487 2.0× 25 2.2k
Z. S. Spakovszky United States 26 1.4k 0.7× 1.9k 1.2× 132 0.2× 1.3k 4.1× 74 0.3× 117 2.6k
Hans-Jörg Bauer Germany 23 1.2k 0.6× 936 0.6× 140 0.2× 1.0k 3.2× 64 0.3× 170 2.0k
Christopher Cadou United States 18 736 0.4× 481 0.3× 441 0.7× 205 0.6× 46 0.2× 75 1.2k
Sergey Minaev Russia 26 2.0k 1.1× 983 0.6× 1.4k 2.3× 137 0.4× 44 0.2× 110 2.2k

Countries citing papers authored by Oskar Haidn

Since Specialization
Citations

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

Fields of papers citing papers by Oskar Haidn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Oskar Haidn

This figure shows the co-authorship network connecting the top 25 collaborators of Oskar Haidn. A scholar is included among the top collaborators of Oskar Haidn 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 Oskar Haidn. Oskar Haidn 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.
Zhang, Chi, et al.. (2025). Adaptive optimization of wave energy conversion in oscillatory wave surge converters via SPH simulation and deep reinforcement learning. Renewable Energy. 246. 122887–122887. 2 indexed citations
2.
Zhang, Chi, et al.. (2025). FVM realization in Eulerian SPH: A comparative study within unified codebase. Computer Physics Communications. 314. 109683–109683.
3.
Zhu, Mingmin, et al.. (2024). Concurrent and sequential coupled optimization design of a transonic compressor blade with axial slot casing treatment. Aerospace Science and Technology. 155. 109591–109591. 2 indexed citations
4.
Haidn, Oskar, et al.. (2024). Uncertainty quantification and data consistency analysis for the development of hydrogen and syngas oxidation model. International Journal of Hydrogen Energy. 79. 456–467. 2 indexed citations
5.
Haidn, Oskar, et al.. (2024). Evaluation of the influence of surface roughness on the deterioration of heat transfer in methane rocket engine cooling systems. Acta Astronautica. 228. 617–630. 2 indexed citations
6.
Zhang, Chi, et al.. (2024). An efficient truncation scheme for Eulerian and total Lagrangian smoothed particle hydrodynamics methods. Physics of Fluids. 36(7). 4 indexed citations
7.
Haidn, Oskar, et al.. (2024). Effects of injection recess in methane turbulent combustion for space propulsion. Physics of Fluids. 36(1). 1 indexed citations
8.
Nasser, Ibraheem, et al.. (2023). A comprehensive investigation of heat transfer in a high aspect ratio cooling channel of a rocket engine using LNG coolant. Acta Astronautica. 213. 495–506. 4 indexed citations
9.
Haidn, Oskar, et al.. (2023). Combustion Regimes in Turbulent Non-Premixed Flames for Space Propulsion. Aerospace. 10(8). 671–671. 3 indexed citations
10.
Haidn, Oskar, et al.. (2023). Mixture fraction statistics in methane-oxygen turbulent combustion for space propulsion. Aerospace Science and Technology. 139. 108355–108355. 4 indexed citations
11.
Jocher, Agnes, et al.. (2023). Analysis of turbulent mixing in a methane–oxygen recessed injector for space propulsion. Physics of Fluids. 35(7). 4 indexed citations
12.
Haidn, Oskar, et al.. (2022). Characterisation and Design of Direct Numerical Simulations of Turbulent Statistically Planar Flames. Aerospace. 9(10). 530–530. 3 indexed citations
13.
14.
Haidn, Oskar, et al.. (2022). Turbulent combustion statistics in a diffusion flame for space propulsion applications. Physics of Fluids. 34(12). 6 indexed citations
15.
Li, Xin, Silong Zhang, Wen Bao, Jiang Qin, & Oskar Haidn. (2022). Flow resistance characteristics of hydrocarbon fuel at supercritical pressure under various heat fluxes in regenerative cooling channel with micro-ribs. Aerospace Science and Technology. 131. 107999–107999. 27 indexed citations
16.
Ma, Hao, Botao Zhang, Chi Zhang, & Oskar Haidn. (2021). Generative adversarial networks with physical evaluators for spray simulation of pintle injector. AIP Advances. 11(7). 4 indexed citations
17.
Haidn, Oskar, et al.. (2016). Towards a Model for Reacting Flows with Phase Change in Porous Media: Model Formulation and Preliminary Results. TRANSACTIONS OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES AEROSPACE TECHNOLOGY JAPAN. 14(ists30). Pa_111–Pa_117.
18.
Bauer, Christian, et al.. (2016). Investigation of Stabilization Effects in Hartmann-Sprenger Tubes. TRANSACTIONS OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES AEROSPACE TECHNOLOGY JAPAN. 14(ists30). Pa_95–Pa_100. 2 indexed citations
19.
Kirchberger, Christoph, et al.. (2016). Investigation on Recess Variation of a Shear Coax Injector for a Single Element GOX-GCH4 Combustion Chamber. TRANSACTIONS OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES AEROSPACE TECHNOLOGY JAPAN. 14(ists30). Pa_13–Pa_20. 19 indexed citations
20.
Kirchberger, Christoph, et al.. (2016). Gaseous Film Cooling Investigation in a Model Single Element GCH4-GOX Combustion Chamber. TRANSACTIONS OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES AEROSPACE TECHNOLOGY JAPAN. 14(ists30). Pa_129–Pa_137. 7 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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