Mathis Bode

980 total citations
46 papers, 590 citations indexed

About

Mathis Bode is a scholar working on Computational Mechanics, Fluid Flow and Transfer Processes and Aerospace Engineering. According to data from OpenAlex, Mathis Bode has authored 46 papers receiving a total of 590 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Computational Mechanics, 18 papers in Fluid Flow and Transfer Processes and 8 papers in Aerospace Engineering. Recurrent topics in Mathis Bode's work include Combustion and flame dynamics (26 papers), Advanced Combustion Engine Technologies (18 papers) and Fluid Dynamics and Turbulent Flows (14 papers). Mathis Bode is often cited by papers focused on Combustion and flame dynamics (26 papers), Advanced Combustion Engine Technologies (18 papers) and Fluid Dynamics and Turbulent Flows (14 papers). Mathis Bode collaborates with scholars based in Germany, United States and South Korea. Mathis Bode's co-authors include Heinz Pitsch, Michael Gauding, Seongwon Kang, Liming Cai, Jenia Jitsev, K.M. Becker, Ola Eriksson, Vincent Le Chenadec, Antonio Attili and Toshiyuki Arima and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Fluid Mechanics and Journal of Computational Physics.

In The Last Decade

Mathis Bode

42 papers receiving 567 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mathis Bode Germany	16	461	232	149	65	62	46	590
Michael Gauding Germany	13	490 1.1×	262 1.1×	133 0.9×	99 1.5×	34 0.5×	47	596
Ji-Woong Park United States	13	470 1.0×	347 1.5×	209 1.4×	86 1.3×	15 0.2×	39	671
Wai Tong Chung United States	6	225 0.5×	139 0.6×	75 0.5×	36 0.6×	10 0.2×	14	380
Antony Misdariis France	10	400 0.9×	233 1.0×	178 1.2×	53 0.8×	6 0.1×	13	476
Ulrich Doll Germany	14	357 0.8×	152 0.7×	139 0.9×	139 2.1×	9 0.1×	45	590
Chen Fu China	10	99 0.2×	52 0.2×	64 0.4×	28 0.4×	71 1.1×	43	315
Malik Hassanaly United States	14	287 0.6×	180 0.8×	81 0.5×	13 0.2×	15 0.2×	39	430
Jianguo Tan China	17	903 2.0×	161 0.7×	645 4.3×	25 0.4×	6 0.1×	59	1.0k
Steven Begg United Kingdom	14	284 0.6×	179 0.8×	74 0.5×	93 1.4×	5 0.1×	51	528
Hesheng Bao Netherlands	8	157 0.3×	115 0.5×	42 0.3×	51 0.8×	9 0.1×	18	454

Countries citing papers authored by Mathis Bode

Since Specialization

Citations

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

Fields of papers citing papers by Mathis Bode

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mathis Bode

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Yu, Miao, Maziar Heidari, Mathis Bode, et al.. (2025). O-GlcNAcylation and an importin-β radial gradient keep the FG barrier liquid in live-cell nuclear pores. bioRxiv (Cold Spring Harbor Laboratory).

Bahr, A., et al.. (2025). An Extended Artificially Thickened Flame Model for Turbulent Hydrogen and Hydrogen-Enriched Flames With Intrinsic Instabilities Under Gas Turbine Relevant Conditions. Journal of Engineering for Gas Turbines and Power. 148(2).

Nicolai, Hendrik, et al.. (2025). Laminar and turbulent hydrogen-enriched methane flames: Interaction of thermodiffusive instabilities and local fuel demixing. Proceedings of the Combustion Institute. 41. 105885–105885.

Giannakopoulos, George, et al.. (2024). Multi-cycle Direct Numerical Simulations of a Laboratory Scale Engine: Evolution of Boundary Layers and Wall Heat Flux. Flow Turbulence and Combustion. 115(1). 193–220. 3 indexed citations

Bode, Mathis, et al.. (2024). No sustained mean velocity in the boundary region of plane thermal convection. Journal of Fluid Mechanics. 996. 12 indexed citations

Mira, Daniel, et al.. (2024). JuMonC: A RESTful tool for enabling monitoring and control of simulations at scale. Future Generation Computer Systems. 164. 107541–107541.

Bode, Mathis, et al.. (2023). Acceleration of complex high-performance computing ensemble simulations with super-resolution-based subfilter models. Computers & Fluids. 271. 106150–106150. 8 indexed citations

Bode, Mathis. (2023). AI Super-Resolution-Based Subfilter Modeling for Finite-Rate-Chemistry Flows: A Jet Flow Case Study. SAE technical papers on CD-ROM/SAE technical paper series. 1 indexed citations

Bode, Mathis. (2022). Applying Physics-Informed Enhanced Super-Resolution Generative Adversarial Networks to Large-Eddy Simulations of ECN Spray C. SAE International Journal of Advances and Current Practices in Mobility. 4(6). 2211–2219. 6 indexed citations

10.

Bode, Mathis, et al.. (2021). Using physics-informed enhanced super-resolution generative adversarial networks for subfilter modeling in turbulent reactive flows. Proceedings of the Combustion Institute. 38(2). 2617–2625. 90 indexed citations

11.

Gauding, Michael, et al.. (2021). Self-similarity of turbulent jet flows with internal and external intermittency. Journal of Fluid Mechanics. 919. 18 indexed citations

12.

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

13.

Attili, Antonio, et al.. (2020). A new modeling approach for mixture fraction statistics based on dissipation elements. Proceedings of the Combustion Institute. 38(2). 2681–2689. 10 indexed citations

14.

Attili, Antonio, et al.. (2020). Dissipation element analysis of non-premixed jet flames. Journal of Fluid Mechanics. 905. 7 indexed citations

15.

Bode, Mathis, et al.. (2020). Experiments and Large-Eddy Simulation for a Flowbench Configuration of the Darmstadt Optical Engine Geometry. SAE International Journal of Engines. 13(4). 487–502. 2 indexed citations

16.

Bode, Mathis, et al.. (2018). Characterization of Hollow Cone Gas Jets in the Context of Direct Gas Injection in Internal Combustion Engines. SAE international journal of fuels and lubricants. 11(4). 353–377. 20 indexed citations

17.

Gauding, Michael, et al.. (2018). On the self-similarity of line segments in decaying homogeneous isotropic turbulence. Computers & Fluids. 180. 206–217. 9 indexed citations

18.

Bode, Mathis, et al.. (2016). High-Fidelity Multiphase Simulations and In-Situ Visualization Using CIAO. RWTH Publications (RWTH Aachen). 1 indexed citations

19.

Bode, Mathis, et al.. (2015). Direct numerical simulations of novel biofuels for predicting spray characteristics. RWTH Publications (RWTH Aachen). 2 indexed citations

20.

Becker, K.M., et al.. (1965). BURNOUT DATA FOR FLOW OF BOILING WATER IN VERTICAL ROUND DUCTS, ANNULI AND ROD CLUSTERS. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 67(10). 888–90. 31 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.

Explore authors with similar magnitude of impact