Stefan Görtz

2.0k total citations · 1 hit paper
42 papers, 1.4k citations indexed

About

Stefan Görtz is a scholar working on Computational Mechanics, Statistics, Probability and Uncertainty and Statistical and Nonlinear Physics. According to data from OpenAlex, Stefan Görtz has authored 42 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computational Mechanics, 24 papers in Statistics, Probability and Uncertainty and 17 papers in Statistical and Nonlinear Physics. Recurrent topics in Stefan Görtz's work include Probabilistic and Robust Engineering Design (24 papers), Computational Fluid Dynamics and Aerodynamics (23 papers) and Model Reduction and Neural Networks (17 papers). Stefan Görtz is often cited by papers focused on Probabilistic and Robust Engineering Design (24 papers), Computational Fluid Dynamics and Aerodynamics (23 papers) and Model Reduction and Neural Networks (17 papers). Stefan Görtz collaborates with scholars based in Germany, Sweden and United Kingdom. Stefan Görtz's co-authors include Zhonghua Han, Ralf Zimmermann, Thomas Franz, Scott Morton, Philipp Bekemeyer, David McDaniel, John E. Lamar, Thiemo Kier, Adam Jirásek and Ralf Heinrich and has published in prestigious journals such as Computer Methods in Applied Mechanics and Engineering, AIAA Journal and Journal of Aircraft.

In The Last Decade

Stefan Görtz

41 papers receiving 1.3k citations

Hit Papers

Hierarchical Kriging Model for Variable-Fidelity Surrogat... 2012 2026 2016 2021 2012 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Hierarchical Kriging Model for Variable-Fidelity Surrogate Modeling
    2012 356 citations Zhonghua Han, Stefan Görtz AIAA Journal profile →

Peers

Stefan Görtz
Perry A. Newman United States
John J. Korte United States
David J. J. Toal United Kingdom
Markus P. Rumpfkeil United States
Zhenghong Gao China
Wenping Song China
Clyde Gumbert United States
Brenda Kulfan United States
Vladimir Balabanov United States
Lionel Mathelin France
Perry A. Newman United States
Stefan Görtz
Citations per year, relative to Stefan Görtz Stefan Görtz (= 1×) peers Perry A. Newman

Countries citing papers authored by Stefan Görtz

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Görtz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefan Görtz

This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Görtz. A scholar is included among the top collaborators of Stefan Görtz 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 Stefan Görtz. Stefan Görtz 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.
Bekemeyer, Philipp, et al.. (2023). Adjoint high-dimensional aircraft shape optimization using a CAD-ROM parameterization. CEAS Aeronautical Journal. 14(3). 729–738. 2 indexed citations
2.
Bekemeyer, Philipp, et al.. (2021). Data-driven Bayesian inference of turbulence model closure coefficients incorporating epistemic uncertainty. Acta Mechanica Sinica. 37(12). 1812–1838. 9 indexed citations
3.
Görtz, Stefan, et al.. (2020). Ergebnisse des DLR-Projekts VicToria - Virtual Aircraft Technology Integration Platform. elib (German Aerospace Center). 1 indexed citations
4.
Bekemeyer, Philipp, et al.. (2020). Efficient Bilevel Surrogate Approach for Optimization Under Uncertainty of Shock Control Bumps. AIAA Journal. 58(12). 5228–5242. 12 indexed citations
5.
Franz, Thomas, et al.. (2018). Reduced-order models for aerodynamic applications, loads and MDO. CEAS Aeronautical Journal. 9(1). 171–193. 52 indexed citations
6.
Franz, Thomas, et al.. (2014). Interpolation-based reduced-order modelling for steady transonic flows via manifold learning. International journal of computational fluid dynamics. 28(3-4). 106–121. 77 indexed citations
7.
Zimmermann, Ralf, et al.. (2014). Speeding-up the computation of high-lift aerodynamics using a residual-based reduced-order model. CEAS Aeronautical Journal. 6(1). 3–16. 2 indexed citations
8.
Han, Zhonghua & Stefan Görtz. (2012). Hierarchical Kriging Model for Variable-Fidelity Surrogate Modeling. AIAA Journal. 50(9). 1885–1896. 356 indexed citations breakdown →
9.
Han, Zhonghua, Ralf Zimmermann, & Stefan Görtz. (2012). Alternative Cokriging Method for Variable-Fidelity Surrogate Modeling. AIAA Journal. 50(5). 1205–1210. 160 indexed citations
10.
Reimer, Lars, Stefan Görtz, Thomas Gerhold, et al.. (2012). Multidisciplinary Analysis Workflow with the FlowSimulator. elib (German Aerospace Center). 2 indexed citations
11.
Zimmermann, Ralf, et al.. (2011). A POD-based reduced order modeling approach for the efficient computation of high-lift aerodynamics. elib (German Aerospace Center). 49(2). 298–307. 5 indexed citations
12.
Li, Chunna, Joël Brézillon, & Stefan Görtz. (2011). A hybrid approach for surrogate-based aerodynamic optimization with constraints. elib (German Aerospace Center). 2 indexed citations
13.
Zimmermann, Ralf & Stefan Görtz. (2010). Non-linear reduced order models for steady aerodynamics. Procedia Computer Science. 1(1). 165–174. 39 indexed citations
14.
Ronch, Andrea Da, Kenneth Badcock, Mehdi Ghoreyshi, et al.. (2010). Linear Frequency Domain and Harmonic Balance Predictions of Dynamic Derivatives. ePrints Soton (University of Southampton). 16 indexed citations
15.
Zimmermann, Ralf & Stefan Görtz. (2010). Non-Linear POD-based Reduced Order Models for Steady Turbulent Aerodynamics. elib (German Aerospace Center). 7 indexed citations
16.
Han, Zhonghua, Stefan Görtz, & Ralf Zimmermann. (2009). On Improving Efficiency and Accuracy of Variable-Fidelity Surrogate Modeling in Aero-data for Loads Context. elib (German Aerospace Center). 21 indexed citations
17.
Görtz, Stefan, et al.. (2007). Evaluation of TAU Flow Solver Capabilities in the Aero-Data-for-Loads Context – Part I: Megaflug. elib (German Aerospace Center). 1 indexed citations
18.
Görtz, Stefan, David McDaniel, & Scott Morton. (2007). Towards an Efficient Aircraft Stability and Control Analysis Capability Using High-Fidelity CFD. 45th AIAA Aerospace Sciences Meeting and Exhibit. 35 indexed citations
19.
Görtz, Stefan. (2005). Realistic simulations of delta wing aerodynamics using novel CFD methods. KTH Publication Database DiVA (KTH Royal Institute of Technology). 10 indexed citations
20.
Görtz, Stefan, et al.. (2004). Evaluation of the Recursive Projection Method for Efficient Unsteady Turbulent CFD Simulations. 1–13. 6 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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