Jan Matheis

475 total citations
11 papers, 345 citations indexed

About

Jan Matheis is a scholar working on Computational Mechanics, Aerospace Engineering and Applied Mathematics. According to data from OpenAlex, Jan Matheis has authored 11 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computational Mechanics, 3 papers in Aerospace Engineering and 2 papers in Applied Mathematics. Recurrent topics in Jan Matheis's work include Heat transfer and supercritical fluids (7 papers), Combustion and flame dynamics (6 papers) and Computational Fluid Dynamics and Aerodynamics (3 papers). Jan Matheis is often cited by papers focused on Heat transfer and supercritical fluids (7 papers), Combustion and flame dynamics (6 papers) and Computational Fluid Dynamics and Aerodynamics (3 papers). Jan Matheis collaborates with scholars based in Germany, Netherlands and Venezuela. Jan Matheis's co-authors include Stefan Hickel, Michael Pfitzner, Christoph Niedermeier, Grazia Lamanna, Bernhard Weigand, Christian Stemmer and Nikolaus A. Adams and has published in prestigious journals such as Journal of Fluid Mechanics, Physics of Fluids and International Journal of Multiphase Flow.

In The Last Decade

Jan Matheis

11 papers receiving 337 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jan Matheis Germany 6 313 113 111 79 36 11 345
Joshua J. Smith Sweden 4 298 1.0× 116 1.0× 113 1.0× 107 1.4× 7 0.2× 6 348
Lucien Vingert France 9 346 1.1× 183 1.6× 45 0.4× 200 2.5× 22 0.6× 24 399
Roger Prud'Homme France 8 201 0.6× 111 1.0× 31 0.3× 60 0.8× 21 0.6× 40 277
Mohammed Habiballah France 11 420 1.3× 199 1.8× 64 0.6× 249 3.2× 25 0.7× 26 473
Colette Nicoli France 10 303 1.0× 166 1.5× 45 0.4× 117 1.5× 9 0.3× 23 328
Shengteng Hu United States 11 294 0.9× 196 1.7× 56 0.5× 79 1.0× 32 0.9× 21 365
Renaud Mercier France 12 403 1.3× 307 2.7× 26 0.2× 78 1.0× 7 0.2× 35 473
Keith D. Rein United States 13 192 0.6× 148 1.3× 60 0.5× 155 2.0× 7 0.2× 25 375
Runhua Zhao United States 8 390 1.2× 395 3.5× 84 0.8× 169 2.1× 8 0.2× 8 485
Yasushige Ujiie Japan 9 382 1.2× 193 1.7× 140 1.3× 108 1.4× 11 0.3× 27 421

Countries citing papers authored by Jan Matheis

Since Specialization
Citations

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

Fields of papers citing papers by Jan Matheis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Matheis

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Matheis. A scholar is included among the top collaborators of Jan Matheis 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 Jan Matheis. Jan Matheis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Matheis, Jan. (2018). Numerical Simulation of Fuel Injection and Turbulent Mixing Under High-Pressure Conditions. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich). 3 indexed citations
2.
Matheis, Jan & Stefan Hickel. (2017). Multi-component vapor-liquid equilibrium model for LES of high-pressure fuel injection and application to ECN Spray A. International Journal of Multiphase Flow. 99. 294–311. 100 indexed citations
3.
Pfitzner, Michael, Grazia Lamanna, Bernhard Weigand, et al.. (2017). Experimental and Numerical Investigation of Phase Separation due to Multi-Component Mixing at High-Pressure Conditions. mediaTUM (Technical University of Munich). 7 indexed citations
4.
Niedermeier, Christoph, et al.. (2016). Large-eddy simulation of nitrogen injection at trans- and supercritical conditions. Physics of Fluids. 28(1). 103 indexed citations
5.
Matheis, Jan, et al.. (2015). Volume translation methods for real-gas computational fluid dynamics simulations. The Journal of Supercritical Fluids. 107. 422–432. 33 indexed citations
6.
Matheis, Jan, et al.. (2015). Large-Eddy Simulation of Cryogenic coaxial LN2/GH2 Injection under Supercritical Pressures. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich). 3 indexed citations
7.
Pfitzner, Michael, et al.. (2015). Large-Eddy Simulation of Coaxial LN2/GH2 Injection at Trans- and Supercritical Conditions. 53rd AIAA Aerospace Sciences Meeting. 3 indexed citations
8.
Pfitzner, Michael, et al.. (2015). Large-Eddy Simulation of Coaxial LN2/GH2 Injection at Trans- and Supercritical Conditions. Journal of Propulsion and Power. 32(1). 46–56. 37 indexed citations
9.
Matheis, Jan & Stefan Hickel. (2015). On the transition between regular and irregular shock patterns of shock-wave/boundary-layer interactions. Journal of Fluid Mechanics. 776. 200–234. 54 indexed citations
11.
Matheis, Jan, et al.. (2011). Numerical Analysis of particle growth in a microwave driven plasma reactor and comparison to experimental data. 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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