Markus Baum

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

About

Markus Baum is a scholar working on Computational Mechanics, Fluid Flow and Transfer Processes and Mechanical Engineering. According to data from OpenAlex, Markus Baum has authored 20 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computational Mechanics, 9 papers in Fluid Flow and Transfer Processes and 7 papers in Mechanical Engineering. Recurrent topics in Markus Baum's work include Combustion and flame dynamics (9 papers), Advanced Combustion Engine Technologies (7 papers) and Injection Molding Process and Properties (6 papers). Markus Baum is often cited by papers focused on Combustion and flame dynamics (9 papers), Advanced Combustion Engine Technologies (7 papers) and Injection Molding Process and Properties (6 papers). Markus Baum collaborates with scholars based in Germany, France and United Kingdom. Markus Baum's co-authors include P.J. Street, Thierry Poinsot, Dominique Thévenin, Daniel C. Haworth, Nasser Darabiha, Mitchell D. Smooke, Denis Anders, Thierry Baritaud, Tamara Reinicke and Johan Hult and has published in prestigious journals such as Journal of Fluid Mechanics, Journal of Computational Physics and Combustion and Flame.

In The Last Decade

Markus Baum

20 papers receiving 1.2k citations

Hit Papers

Predicting the Combustion Behaviour of Coal Particles 1971 2026 1989 2007 1971 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Markus Baum Germany 10 1.0k 520 387 275 265 20 1.2k
Kiumars Mazaheri Iran 20 863 0.8× 401 0.8× 243 0.6× 336 1.2× 593 2.2× 60 1.2k
Francesca di Mare Germany 16 666 0.6× 340 0.7× 184 0.5× 145 0.5× 241 0.9× 79 810
L. Fuchs Sweden 19 901 0.9× 228 0.4× 189 0.5× 84 0.3× 246 0.9× 48 1.0k
Berthold Noll Germany 18 1.1k 1.1× 448 0.9× 174 0.4× 134 0.5× 506 1.9× 111 1.2k
Thierry Baritaud France 22 1.2k 1.2× 1.2k 2.3× 240 0.6× 164 0.6× 331 1.2× 36 1.4k
Ashoke De India 19 1.1k 1.0× 376 0.7× 111 0.3× 162 0.6× 476 1.8× 108 1.2k
Toshimi TAKAGI Japan 14 681 0.7× 364 0.7× 100 0.3× 124 0.5× 199 0.8× 82 802
S.M. Correa United States 17 1.4k 1.4× 1.0k 1.9× 184 0.5× 220 0.8× 286 1.1× 55 1.6k
V. S. Babkin Russia 17 917 0.9× 457 0.9× 98 0.3× 320 1.2× 636 2.4× 94 1.2k
Martin Rieth Germany 15 765 0.7× 487 0.9× 339 0.9× 196 0.7× 196 0.7× 31 848

Countries citing papers authored by Markus Baum

Since Specialization
Citations

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

Fields of papers citing papers by Markus Baum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Baum

This figure shows the co-authorship network connecting the top 25 collaborators of Markus Baum. A scholar is included among the top collaborators of Markus Baum 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 Markus Baum. Markus Baum 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.
Baum, Markus, Denis Anders, & Tamara Reinicke. (2025). Optimizing injection molding simulations: comparative performance of Kriging and RSM surrogate models for process efficiency. 4(1). 2 indexed citations
2.
Baum, Markus, Denis Anders, & Tamara Reinicke. (2024). Enhancing Injection Molding Simulation Accuracy: A Comparative Evaluation of Rheological Model Performance. Applied Sciences. 14(18). 8468–8468. 5 indexed citations
3.
Baum, Markus, Denis Anders, & Tamara Reinicke. (2023). Approaches for Numerical Modeling and Simulation of the Filling Phase in Injection Molding: A Review. Polymers. 15(21). 4220–4220. 17 indexed citations
4.
Anders, Denis, et al.. (2023). Analysis of heat transfer enhancement due to helical static mixing elements inside cooling channels in machine tools. The International Journal of Advanced Manufacturing Technology. 127(5-6). 2273–2285. 3 indexed citations
5.
Baum, Markus, et al.. (2022). Numerical simulation of the mold filling process and its experimental validation. The International Journal of Advanced Manufacturing Technology. 120(5-6). 3065–3076. 10 indexed citations
6.
Baum, Markus & Denis Anders. (2021). A numerical simulation study of mold filling in the injection molding process. 21(1). 6 indexed citations
7.
Anders, Denis, et al.. (2021). A Comparative Study of Numerical Simulation Strategies in Injection Molding. 4 indexed citations
8.
Kaminski, Clemens F., Johan Hult, Marcus Aldén, et al.. (2000). Spark ignition of turbulent methane/air mixtures revealed by time-resolved planar laser-induced fluorescence and direct numerical simulations. Proceedings of the Combustion Institute. 28(1). 399–405. 59 indexed citations
9.
Baum, Markus, et al.. (1997). Analysis of wall heat fluxes, reaction mechanisms, and unburnt hydrocarbons during the head-on quenching of a laminar methane flame. Combustion and Flame. 108(3). 327–348. 126 indexed citations
10.
Baritaud, Thierry, et al.. (1996). Direct Numerical Simulation for Turbulent Reacting Flows. Medical Entomology and Zoology. 34 indexed citations
11.
Smooke, Mitchell D., et al.. (1996). Heterogeneous/homogeneous reaction and transport coupling during flame-wall interaction. Symposium (International) on Combustion. 26(2). 2693–2700. 47 indexed citations
12.
Baum, Markus & Thierry Poinsot. (1995). Effects of Mean Flow on Premixed Flame Ignition. Combustion Science and Technology. 106(1-3). 19–39. 38 indexed citations
13.
Baum, Markus, et al.. (1995). Heat Transfer and Pollutant Formation Mechanisms in Insulated Combustion Chambers. SAE technical papers on CD-ROM/SAE technical paper series. 1. 5 indexed citations
14.
Baum, Markus, Thierry Poinsot, & Dominique Thévenin. (1995). Accurate Boundary Conditions for Multicomponent Reactive Flows. Journal of Computational Physics. 116(2). 247–261. 204 indexed citations
15.
Baum, Markus, et al.. (1994). Direct numerical simulation of 2D turbulent combustion using domain decomposition methods. 52–57. 4 indexed citations
16.
Baum, Markus, Thierry Poinsot, Daniel C. Haworth, & Nasser Darabiha. (1994). Direct numerical simulation of H2/O2/N2 flames with complex chemistry in two-dimensional turbulent flows. Journal of Fluid Mechanics. 281. 1–32. 160 indexed citations
17.
Baum, Markus, Thierry Poinsot, & Daniel C. Haworth. (1992). Numerical simulations of turbulent premixed H2/O2/N2 flames with complex chemistry. NASA Technical Reports Server (NASA). 4 indexed citations
18.
Lawn, C.J., P.J. Street, & Markus Baum. (1981). Spontaneous combustion in beds of small fuel particles. Symposium (International) on Combustion. 18(1). 731–740. 2 indexed citations
19.
Baum, Markus. (1981). On predicting spontaneous combustion. Combustion and Flame. 41. 187–200. 6 indexed citations
20.
Baum, Markus & P.J. Street. (1971). Predicting the Combustion Behaviour of Coal Particles. Combustion Science and Technology. 3(5). 231–243. 481 indexed citations breakdown →

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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