Jan Matheis

485 citations
11 papers · 351 · h-index 6

Impact in

Papers in

Jan Matheis

11 papers receiving 347 citations

Peers

Jan Matheis
Comparison fields: 5 of 29
  • Fluid Flow and Transfer Processes 113
  • Computational Mechanics 315
  • Applied Mathematics 36
  • Aerospace Engineering 81
  • Biomedical Engineering 112
Replace Shengteng Hu with:
Shengteng Hu United States
Anthony Ruiz France
Roger Prud'Homme France
Lucien Vingert France
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C. Hassa Germany
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Citations per field
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Citations per year

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-authors

The 7 scholars most cited alongside Jan Matheis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jan Matheis Line = papers co-authored together Jan Matheis links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2016105
2 2017100
3 201556
4 201537
5 201534
6 20178
7
Large-Eddy Simulation of Cryogenic coaxial LN2/GH2 Injection under Supercritical Pressures
20153
8
Numerical Simulation of Fuel Injection and Turbulent Mixing Under High-Pressure Conditions
20183
9 20153
10
Numerical Analysis of particle growth in a microwave driven plasma reactor and comparison to experimental data
20111
11 20131

About Jan Matheis

Jan Matheis is a scholar working on Computational Mechanics, Aerospace Engineering, Applied Mathematics, Atmospheric Science and Fluid Flow and Transfer Processes, having authored 11 papers that have together received 351 indexed citations. Recurring topics across this work include Heat transfer and supercritical fluids (7 papers), Combustion and flame dynamics (6 papers), Computational Fluid Dynamics and Aerodynamics (3 papers), Meteorological Phenomena and Simulations (2 papers), Rocket and propulsion systems research (2 papers), Phase Equilibria and Thermodynamics (2 papers), Gas Dynamics and Kinetic Theory (2 papers) and Advanced Combustion Engine Technologies (2 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (113 citations), Computational Mechanics (315 citations), Applied Mathematics (36 citations), Aerospace Engineering (81 citations) and Biomedical Engineering (112 citations). Jan Matheis has collaborated with scholars based in Germany, Netherlands and Venezuela. Frequent co-authors include Stefan Hickel, Michael Pfitzner, Christoph Niedermeier, Bernhard Weigand, Christian Stemmer, Nikolaus A. Adams and Grazia Lamanna. Their work appears in journals such as International Journal of Multiphase Flow, Physics of Fluids, Journal of Propulsion and Power, The Journal of Supercritical Fluids and Journal of Fluid Mechanics.

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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