Joachim Beeckmann

1.5k total citations · 1 hit paper
63 papers, 1.2k citations indexed

About

Joachim Beeckmann is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics and Aerospace Engineering. According to data from OpenAlex, Joachim Beeckmann has authored 63 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Fluid Flow and Transfer Processes, 46 papers in Computational Mechanics and 22 papers in Aerospace Engineering. Recurrent topics in Joachim Beeckmann's work include Advanced Combustion Engine Technologies (57 papers), Combustion and flame dynamics (46 papers) and Combustion and Detonation Processes (20 papers). Joachim Beeckmann is often cited by papers focused on Advanced Combustion Engine Technologies (57 papers), Combustion and flame dynamics (46 papers) and Combustion and Detonation Processes (20 papers). Joachim Beeckmann collaborates with scholars based in Germany, United States and France. Joachim Beeckmann's co-authors include Heinz Pitsch, Nils Peters, Liming Cai, Karl Alexander Heufer, Stephan Kruse, H. Olivier, Chaimae Bariki, Ravi X. Fernandes, Henry J. Curran and Émilien Varea and has published in prestigious journals such as Fuel, The Journal of Physical Chemistry A and Combustion and Flame.

In The Last Decade

Joachim Beeckmann

58 papers receiving 1.2k citations

Hit Papers

Understanding the antagonistic effect of methanol as a co... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joachim Beeckmann Germany 19 1.0k 832 384 325 193 63 1.2k
Trupti Kathrotia Germany 22 902 0.9× 749 0.9× 282 0.7× 261 0.8× 236 1.2× 50 1.2k
Robert Schießl Germany 19 1.0k 1.0× 908 1.1× 422 1.1× 250 0.8× 214 1.1× 75 1.3k
Alan Kéromnès France 11 812 0.8× 692 0.8× 403 1.0× 140 0.4× 153 0.8× 26 1.0k
Yang L. Wang United States 8 956 0.9× 789 0.9× 294 0.8× 349 1.1× 163 0.8× 8 1.0k
Clemens Naumann Germany 20 1.5k 1.5× 1.3k 1.5× 743 1.9× 287 0.9× 325 1.7× 82 1.8k
Jeffrey Santner United States 15 1.1k 1.0× 958 1.2× 518 1.3× 137 0.4× 249 1.3× 26 1.3k
Zhaoyu Luo United States 13 1.0k 1.0× 974 1.2× 404 1.1× 291 0.9× 137 0.7× 22 1.2k
S. Scott Goldsborough United States 24 1.4k 1.4× 1.1k 1.3× 465 1.2× 437 1.3× 314 1.6× 62 1.8k
Travis Sikes United States 10 715 0.7× 588 0.7× 365 1.0× 125 0.4× 205 1.1× 19 966
Peter S. Veloo United States 16 1.6k 1.5× 1.3k 1.6× 500 1.3× 567 1.7× 322 1.7× 19 1.8k

Countries citing papers authored by Joachim Beeckmann

Since Specialization
Citations

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

Fields of papers citing papers by Joachim Beeckmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joachim Beeckmann

This figure shows the co-authorship network connecting the top 25 collaborators of Joachim Beeckmann. A scholar is included among the top collaborators of Joachim Beeckmann 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 Joachim Beeckmann. Joachim Beeckmann 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.
Jacobs, Sascha, Chaimae Bariki, Joachim Beeckmann, et al.. (2025). Combustion kinetics of the e-fuels methyl formate and dimethyl carbonate: A modeling and experimental study. Combustion and Flame. 276. 114112–114112. 1 indexed citations
2.
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.
5.
Halter, Fabien, et al.. (2024). Ultra-slow ammonia flame speeds — A microgravity study on radiation. Proceedings of the Combustion Institute. 40(1-4). 105334–105334. 3 indexed citations
6.
Beeckmann, Joachim, et al.. (2024). The role of C3 and C4 species in forming naphthalene in counterflow diffusion flames. Proceedings of the Combustion Institute. 40(1-4). 105620–105620. 3 indexed citations
7.
Bariki, Chaimae, et al.. (2024). A well-defined methodology to extract laminar flame speeds at engine-relevant conditions. Combustion and Flame. 268. 113612–113612. 1 indexed citations
8.
Babushok, Valeri I., et al.. (2024). Exploring nonlinear flame speed inhibition effects in mixtures of R1234yf and R32 under microgravity conditions. Proceedings of the Combustion Institute. 40(1-4). 105418–105418. 1 indexed citations
9.
Berger, Lukas, et al.. (2023). Data reduction considerations for the burning velocity of spherical constant volume flames of R32 (CH2F2) with air. Combustion and Flame. 254. 112807–112807. 3 indexed citations
10.
Beeckmann, Joachim, et al.. (2022). 3D-CFD RANS Methodology to Predict Engine-Out Emissions with Gasoline-Like Fuel and Methanol for a DISI Engine. SAE International Journal of Advances and Current Practices in Mobility. 5(3). 1364–1376. 2 indexed citations
11.
Fenard, Yann, et al.. (2022). Experimental-Based Laminar Flame Speed Approximation Formulas of Efficiency-Optimized Biofuels for SI-Engine Modeling. SAE International Journal of Advances and Current Practices in Mobility. 5(3). 1344–1353. 1 indexed citations
12.
Bariki, Chaimae, et al.. (2022). Experimental measurements of laminar flame speeds for highly N2-diluted ethanol flames under microgravity conditions. SPIRE - Sciences Po Institutional REpository. 1 indexed citations
13.
Wang, Pan, et al.. (2020). Nonlinear Identification Modeling for PCCI Engine Emissions Prediction Using Unsupervised Learning and Neural Networks. SAE technical papers on CD-ROM/SAE technical paper series. 1. 9 indexed citations
14.
Cai, Liming, Mathis Bode, Sascha Jacobs, et al.. (2020). Oxymethylene ether – n-dodecane blend spray combustion: Experimental study and large-eddy simulations. Proceedings of the Combustion Institute. 38(2). 3417–3425. 21 indexed citations
15.
Wang, Pan, et al.. (2019). Unsupervised learning and nonlinear identification for in-cylinder pressure prediction of diesel combustion rate shaping process. IFAC-PapersOnLine. 52(29). 199–203. 5 indexed citations
16.
Beeckmann, Joachim, et al.. (2019). Effects of injection strategy on performance and emissions metrics in a diesel/methane dual-fuel single-cylinder compression ignition engine. International Journal of Engine Research. 20(10). 1059–1072. 14 indexed citations
17.
Mansour, Mohy S., Heinz Pitsch, Stephan Kruse, et al.. (2017). A concentric flow slot burner for stabilizing turbulent partially premixed inhomogeneous flames of gaseous fuels. Experimental Thermal and Fluid Science. 91. 214–229. 20 indexed citations
18.
Beeckmann, Joachim, et al.. (2015). Reduced Chemical Mechanism for the Calculation of Ethanol / Air Flame Speeds. SAE technical papers on CD-ROM/SAE technical paper series. 1.
19.
Heufer, Karl Alexander, et al.. (2010). Shock tube investigations of ignition delays of n-butanol at elevated pressures between 770 and 1250K. Proceedings of the Combustion Institute. 33(1). 359–366. 109 indexed citations
20.
Beeckmann, Joachim, et al.. (2009). Experimental and Numerical Investigation of Iso-Octane, Methanol and Ethanol Regarding Laminar Burning Velocity at Elevated Pressure and Temperature. SAE technical papers on CD-ROM/SAE technical paper series. 1. 32 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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