Georg Pingen

876 total citations
20 papers, 718 citations indexed

About

Georg Pingen is a scholar working on Computational Mechanics, Computational Theory and Mathematics and Civil and Structural Engineering. According to data from OpenAlex, Georg Pingen has authored 20 papers receiving a total of 718 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computational Mechanics, 10 papers in Computational Theory and Mathematics and 7 papers in Civil and Structural Engineering. Recurrent topics in Georg Pingen's work include Lattice Boltzmann Simulation Studies (14 papers), Advanced Mathematical Modeling in Engineering (9 papers) and Topology Optimization in Engineering (7 papers). Georg Pingen is often cited by papers focused on Lattice Boltzmann Simulation Studies (14 papers), Advanced Mathematical Modeling in Engineering (9 papers) and Topology Optimization in Engineering (7 papers). Georg Pingen collaborates with scholars based in United States, Denmark and Germany. Georg Pingen's co-authors include Kurt Maute, Anton Evgrafov, Sebastian Kreissl, Ronggui Yang, A. Kirk and Da‐Ren Chen and has published in prestigious journals such as Computer Methods in Applied Mechanics and Engineering, International Journal for Numerical Methods in Engineering and SAE technical papers on CD-ROM/SAE technical paper series.

In The Last Decade

Georg Pingen

20 papers receiving 692 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Georg Pingen United States 12 518 395 318 213 99 20 718
Pierre Beckers Belgium 13 358 0.7× 183 0.5× 188 0.6× 382 1.8× 55 0.6× 44 659
Jesús Martínez‐Frutos Spain 15 367 0.7× 315 0.8× 104 0.3× 196 0.9× 53 0.5× 49 680
Samuel Amstutz France 17 903 1.7× 594 1.5× 204 0.6× 702 3.3× 56 0.6× 37 1.2k
E.M. Papoutsis‐Kiachagias Greece 13 290 0.6× 227 0.6× 239 0.8× 117 0.5× 114 1.2× 35 582
Frédéric de Gournay France 10 422 0.8× 273 0.7× 208 0.7× 283 1.3× 53 0.5× 24 698
Cameron Talischi United States 11 541 1.0× 459 1.2× 851 2.7× 994 4.7× 74 0.7× 16 1.5k
Yuanxian Gu China 12 212 0.4× 158 0.4× 75 0.2× 187 0.9× 89 0.9× 37 475
Pierre‐Alain Boucard France 15 128 0.2× 197 0.5× 133 0.4× 254 1.2× 108 1.1× 59 632
J. Parı́s Spain 11 526 1.0× 281 0.7× 110 0.3× 376 1.8× 36 0.4× 38 654
Lei Gu China 9 213 0.4× 157 0.4× 91 0.3× 257 1.2× 94 0.9× 30 581

Countries citing papers authored by Georg Pingen

Since Specialization
Citations

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

Fields of papers citing papers by Georg Pingen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Georg Pingen

This figure shows the co-authorship network connecting the top 25 collaborators of Georg Pingen. A scholar is included among the top collaborators of Georg Pingen 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 Georg Pingen. Georg Pingen 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.
Pingen, Georg, et al.. (2014). An immersed boundary method for fluids using the XFEM and the hydrodynamic Boltzmann transport equation. Computer Methods in Applied Mechanics and Engineering. 273. 37–55. 3 indexed citations
2.
Pingen, Georg, et al.. (2012). Topology optimization of multi-component flows using a multi-relaxation time lattice Boltzmann method. Computers & Fluids. 67. 104–114. 47 indexed citations
3.
Pingen, Georg, et al.. (2012). Multi-Layer, Pseudo 3D Thermal Topology Optimization of Heat Sinks. 2381–2392. 19 indexed citations
4.
Kreissl, Sebastian, Georg Pingen, & Kurt Maute. (2011). Topology optimization for unsteady flow. International Journal for Numerical Methods in Engineering. 87(13). 1229–1253. 130 indexed citations
5.
Kirk, A., Sebastian Kreissl, Georg Pingen, & Kurt Maute. (2011). Lattice Boltzmann Topology Optimization for Transient Flow. 9 indexed citations
6.
Kreissl, Sebastian, Georg Pingen, Anton Evgrafov, & Kurt Maute. (2010). Topology optimization of flexible micro-fluidic devices. Structural and Multidisciplinary Optimization. 42(4). 495–516. 53 indexed citations
7.
Kreissl, Sebastian, Georg Pingen, & Kurt Maute. (2010). Optimal Layout Design for Unsteady Flows. 1 indexed citations
8.
Kreissl, Sebastian, Georg Pingen, & Kurt Maute. (2009). An explicit level set approach for generalized shape optimization of fluids with the lattice Boltzmann method. International Journal for Numerical Methods in Fluids. 65(5). 496–519. 64 indexed citations
9.
Pingen, Georg, et al.. (2009). A parametric level-set approach for topology optimization of flow domains. Structural and Multidisciplinary Optimization. 41(1). 117–131. 85 indexed citations
10.
Pingen, Georg & Kurt Maute. (2009). Optimal design for non-Newtonian flows using a topology optimization approach. Computers & Mathematics with Applications. 59(7). 2340–2350. 78 indexed citations
11.
Pingen, Georg, et al.. (2009). Topology Optimization for Thermal Transport. 2237–2243. 5 indexed citations
12.
Pingen, Georg. (2008). Optimal design for fluidic systems: Topology and shape optimization with the lattice Boltzmann method. PhDT. 11 indexed citations
13.
Pingen, Georg, Anton Evgrafov, & Kurt Maute. (2008). Adjoint parameter sensitivity analysis for the hydrodynamic lattice Boltzmann method with applications to design optimization. Computers & Fluids. 38(4). 910–923. 40 indexed citations
14.
Evgrafov, Anton, Georg Pingen, & Kurt Maute. (2008). Topology optimization of fluid domains: kinetic theory approach. ZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik. 88(2). 129–141. 22 indexed citations
15.
Pingen, Georg, Anton Evgrafov, & Kurt Maute. (2008). A parallel Schur complement solver for the solution of the adjoint steady-state lattice Boltzmann equations: application to design optimisation. International journal of computational fluid dynamics. 22(7). 457–464. 23 indexed citations
16.
Pingen, Georg, Anton Evgrafov, & Kurt Maute. (2007). Topology optimization of flow domains using the lattice Boltzmann method. Structural and Multidisciplinary Optimization. 34(6). 507–524. 103 indexed citations
17.
Pingen, Georg, et al.. (2007). Application of a Parametric Level-Set Approach to Topology Optimization of Fluids with the Navier–Stokes and Lattice Boltzmann Equations. 6 indexed citations
18.
Pingen, Georg, Anton Evgrafov, & Kurt Maute. (2006). 3D Topology Optimization of Fluids by the Lattice Boltzmann Method. 3 indexed citations
19.
Chen, Da‐Ren, et al.. (2004). Transient Analysis of Engine Nano-Particles Using a Fast-Scanning Differential Mobility Particle Analyzer. SAE technical papers on CD-ROM/SAE technical paper series. 1. 7 indexed citations
20.
Pingen, Georg, et al.. (2002). Real-Time Experimentation Across the Internet. The Physics Teacher. 40(7). 408–410. 9 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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