Michael Junk

2.3k total citations
67 papers, 1.7k citations indexed

About

Michael Junk is a scholar working on Computational Mechanics, Electrical and Electronic Engineering and Applied Mathematics. According to data from OpenAlex, Michael Junk has authored 67 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Computational Mechanics, 20 papers in Electrical and Electronic Engineering and 15 papers in Applied Mathematics. Recurrent topics in Michael Junk's work include Lattice Boltzmann Simulation Studies (31 papers), Fluid Dynamics and Turbulent Flows (16 papers) and Aerosol Filtration and Electrostatic Precipitation (15 papers). Michael Junk is often cited by papers focused on Lattice Boltzmann Simulation Studies (31 papers), Fluid Dynamics and Turbulent Flows (16 papers) and Aerosol Filtration and Electrostatic Precipitation (15 papers). Michael Junk collaborates with scholars based in Germany, Italy and United States. Michael Junk's co-authors include Zhaoxia Yang, Axel Klar, Li‐Shi Luo, Wen‐An Yong, Alfonso Caiazzo, Chin-Yew Lin, Ulf Hermjakob, Eduard Hovy, Laurie Gerber and Reinhard Illner and has published in prestigious journals such as Analytical Chemistry, Journal of Computational Physics and Limnology and Oceanography.

In The Last Decade

Michael Junk

66 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Junk Germany 22 1.2k 671 297 164 162 67 1.7k
Tzanio Kolev United States 24 1.2k 1.0× 388 0.6× 133 0.4× 37 0.2× 103 0.6× 72 1.9k
V. V. Zhurin Russia 8 460 0.4× 731 1.1× 105 0.4× 73 0.4× 110 0.7× 15 1.8k
Iliya V. Karlin Switzerland 29 2.2k 1.8× 757 1.1× 405 1.4× 19 0.1× 522 3.2× 72 2.8k
Louis H. Howell United States 17 1.3k 1.1× 97 0.1× 184 0.6× 37 0.2× 56 0.3× 28 2.5k
Sergej Rjasanow Germany 19 497 0.4× 640 1.0× 279 0.9× 16 0.1× 105 0.6× 62 1.5k
R. H. Hardin United States 11 151 0.1× 520 0.8× 102 0.3× 237 1.4× 107 0.7× 18 1.5k
Laurent Jacques Belgium 22 783 0.7× 342 0.5× 146 0.5× 166 1.0× 35 0.2× 115 1.8k
William Y. Crutchfield United States 14 501 0.4× 228 0.3× 179 0.6× 13 0.1× 48 0.3× 24 922
R. Esposito Italy 20 444 0.4× 133 0.2× 601 2.0× 121 0.7× 276 1.7× 77 1.3k
A. R. Curtis United Kingdom 19 489 0.4× 155 0.2× 242 0.8× 44 0.3× 103 0.6× 53 2.0k

Countries citing papers authored by Michael Junk

Since Specialization
Citations

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

Fields of papers citing papers by Michael Junk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Junk

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Junk. A scholar is included among the top collaborators of Michael Junk 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 Michael Junk. Michael Junk 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.
Moreno‐Villanueva, María, Tobias Kötter, Thilo Sindlinger, et al.. (2015). MARK-AGE data management: Cleaning, exploration and visualization of data. Mechanisms of Ageing and Development. 151. 38–44. 8 indexed citations
2.
Kötter, Theo, María Moreno‐Villanueva, Thilo Sindlinger, et al.. (2015). The MARK-AGE extended database: data integration and pre-processing. Mechanisms of Ageing and Development. 151. 31–37. 2 indexed citations
3.
Junk, Michael & Zhaoxia Yang. (2015). L2Convergence of the Lattice Boltzmann Method for One Dimensional Convection-Diffusion-Reaction Equations. Communications in Computational Physics. 17(5). 1225–1245. 13 indexed citations
4.
5.
Junk, Michael & Zhaoxia Yang. (2010). Asymptotic Analysis of Lattice Boltzmann Outflow Treatments. Communications in Computational Physics. 9(5). 1117–1127. 15 indexed citations
6.
Caiazzo, Alfonso, et al.. (2009). Comparison of analysis techniques for the lattice Boltzmann method. Computers & Mathematics with Applications. 58(5). 883–897. 24 indexed citations
7.
Herguth, Axel, et al.. (2009). Fitting of Lateral Resistances in Silicon Solar Cells to Electroluminescence Images. EU PVSEC. 2088–2090. 3 indexed citations
8.
Becker, Jürgen, Michael Junk, Dirk Kehrwald, Guido Thömmes, & Zhaoxia Yang. (2009). A combined lattice BGK/level set method for immiscible two-phase flows. Computers & Mathematics with Applications. 58(5). 950–964. 11 indexed citations
9.
Junk, Michael & Zhaoxia Yang. (2009). Pressure boundary condition for the lattice Boltzmann method. Computers & Mathematics with Applications. 58(5). 922–929. 14 indexed citations
10.
Junk, Michael & Zhaoxia Yang. (2008). Convergence of lattice Boltzmann methods for Navier–Stokes flows in periodic and bounded domains. Numerische Mathematik. 112(1). 65–87. 35 indexed citations
11.
Diederichs, Kay & Michael Junk. (2008). Post-processing intensity measurements at favourable dose values. Journal of Applied Crystallography. 42(1). 48–57. 4 indexed citations
12.
Caiazzo, Alfonso & Michael Junk. (2007). Boundary forces in lattice Boltzmann: Analysis of Momentum Exchange algorithm. Computers & Mathematics with Applications. 55(7). 1415–1423. 60 indexed citations
13.
Junk, Michael & Zhaoxia Yang. (2007). Convergence of lattice Boltzmann methods for Stokes flows in periodic and bounded domains. Computers & Mathematics with Applications. 55(7). 1481–1491. 20 indexed citations
14.
Junk, Michael, et al.. (2006). Understanding the porosity dependence of heat flux through glass fiber insulation. Mathematical and Computer Modelling. 43(5-6). 485–492. 8 indexed citations
15.
Junk, Michael. (2003). ON 2 2 SYSTEMS OF CONSERVATION LAWS WITH FLUXES THAT ARE ENTROPIES. Electronic Journal of Differential Equations. 2003(26). 1–21. 5 indexed citations
16.
Banda, Mapundi K., Michael Junk, & Axel Klar. (2003). Kinetic derivation of a finite difference scheme for the incompressible Navier–Stokes equation. Journal of Computational and Applied Mathematics. 154(2). 341–354. 4 indexed citations
17.
Junk, Michael. (2001). LBM - Discrete Dynamics and Finite Difference Method. 142–151. 2 indexed citations
18.
Hovy, Eduard, Laurie Gerber, Ulf Hermjakob, Michael Junk, & Chin-Yew Lin. (2000). Question Answering in Webclopedia.. Text REtrieval Conference. 164 indexed citations
19.
Dreyer, Wolfgang, Michael Junk, & Matthias Kunik. (2000). On the approximation of kinetic equations by moment systems. Open MIND. 8 indexed citations
20.
Besch, H.J., Michael Junk, N. Pavel, et al.. (1998). Gas amplifying hole structures with resistive position encoding: A new concept for a high rate imaging pixel detector. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 419(2-3). 444–451. 26 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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