Steffen Gerke

1.4k total citations
56 papers, 1.0k citations indexed

About

Steffen Gerke is a scholar working on Mechanical Engineering, Mechanics of Materials and Materials Chemistry. According to data from OpenAlex, Steffen Gerke has authored 56 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Mechanical Engineering, 48 papers in Mechanics of Materials and 40 papers in Materials Chemistry. Recurrent topics in Steffen Gerke's work include Metal Forming Simulation Techniques (54 papers), Metallurgy and Material Forming (42 papers) and High-Velocity Impact and Material Behavior (35 papers). Steffen Gerke is often cited by papers focused on Metal Forming Simulation Techniques (54 papers), Metallurgy and Material Forming (42 papers) and High-Velocity Impact and Material Behavior (35 papers). Steffen Gerke collaborates with scholars based in Germany and India. Steffen Gerke's co-authors include Michael Brünig, Daniel Brenner, Daniel Albrecht, Arpit Bhardwaj, Daniel Brenner, Michael Brünig, Zheng Wei, Franz‐Joseph Barthold, Wolfram Volk and M. Härting and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computer Methods in Applied Mechanics and Engineering and International Journal of Solids and Structures.

In The Last Decade

Steffen Gerke

52 papers receiving 986 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steffen Gerke Germany 16 912 816 651 102 49 56 1.0k
Matthieu Dunand France 6 724 0.8× 628 0.8× 488 0.7× 60 0.6× 30 0.6× 8 764
Ken Nahshon United States 6 980 1.1× 864 1.1× 630 1.0× 81 0.8× 83 1.7× 11 1.1k
Houssem Badreddine France 15 542 0.6× 478 0.6× 352 0.5× 101 1.0× 33 0.7× 48 628
Lucival Malcher Brazil 11 581 0.6× 543 0.7× 368 0.6× 64 0.6× 44 0.9× 33 662
A. Abedini Canada 17 656 0.7× 552 0.7× 412 0.6× 49 0.5× 42 0.9× 34 774
Matthew Hayden United States 8 486 0.5× 428 0.5× 314 0.5× 32 0.3× 53 1.1× 10 557
Mitsuru Ohata Japan 16 795 0.9× 640 0.8× 278 0.4× 23 0.2× 132 2.7× 130 992
Cihan Tekoğlu Türkiye 13 597 0.7× 537 0.7× 438 0.7× 92 0.9× 32 0.7× 27 759
Peter Mutton Australia 21 1.1k 1.2× 659 0.8× 562 0.9× 26 0.3× 134 2.7× 63 1.2k
Hasan Sofuoğlu Türkiye 14 542 0.6× 414 0.5× 197 0.3× 41 0.4× 32 0.7× 29 643

Countries citing papers authored by Steffen Gerke

Since Specialization
Citations

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

Fields of papers citing papers by Steffen Gerke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steffen Gerke

This figure shows the co-authorship network connecting the top 25 collaborators of Steffen Gerke. A scholar is included among the top collaborators of Steffen Gerke 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 Steffen Gerke. Steffen Gerke 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.
Gerke, Steffen, et al.. (2026). Deep learning characterization of stress-state-dependent anisotropic ductile damage. International Journal of Mechanical Sciences. 315. 111424–111424.
2.
Härting, M., et al.. (2025). Ductile damage analysis under extreme low-cycle biaxial shear loadings: Experiments and simulations. International Journal of Solids and Structures. 313. 113292–113292. 4 indexed citations
3.
Gerke, Steffen, et al.. (2025). Numerical analysis of anisotropic plasticity and damage based on the inelastic predictor-elastic corrector method. International Journal of Solids and Structures. 326. 113770–113770. 2 indexed citations
4.
Gerke, Steffen, et al.. (2025). Experiments and numerical simulations on low cycle ductile damage and failure under shear loading conditions. Procedia Structural Integrity. 68. 1294–1300.
5.
Gerke, Steffen, et al.. (2025). Novel uniaxial and biaxial reverse experiments for material parameter identification in an advanced anisotropic cyclic plastic-damage model. Mechanics of Materials. 205. 105294–105294. 6 indexed citations
6.
Brünig, Michael, et al.. (2024). Damage and fracture initiation under shear and compression stress states in the aluminum alloy EN AW6082-T6. Theoretical and Applied Fracture Mechanics. 130. 104339–104339. 4 indexed citations
7.
Wolfrum, Johannes, et al.. (2024). Test Setup for Investigating the Impact Behavior of Biaxially Prestressed Composite Laminates. Experimental Techniques. 48(5). 851–864. 1 indexed citations
8.
Kornmeier, Joana Rebelo, et al.. (2024). Determination of the onset of yielding and the Young’s modulus after a change in the loading direction. International Journal of Material Forming. 17(3).
9.
Brünig, Michael, et al.. (2023). Micro-mechanical numerical analysis on ductile damage in multiaxially loaded anisotropic metals. Computational Mechanics. 73(2). 223–232. 3 indexed citations
10.
11.
Gerke, Steffen, et al.. (2023). Mechanical Responses of Ductile Aluminum Alloy under Biaxial Non-Proportional Tensile Reverse Loading Patterns. Metals. 13(12). 1922–1922. 4 indexed citations
12.
Gerke, Steffen, et al.. (2023). Damage and fracture behavior under non-proportional biaxial reverse loading in ductile metals: Experiments and material modeling. International Journal of Plasticity. 171. 103774–103774. 32 indexed citations
13.
Brünig, Michael, et al.. (2021). Numerical Analysis of Experiments on Damage and Fracture Behavior of Differently Preloaded Aluminum Alloy Specimens. Metals. 11(3). 381–381. 23 indexed citations
14.
15.
Gerke, Steffen, et al.. (2020). Shape optimization of the X0-specimen: theory, numerical simulation and experimental verification. Computational Mechanics. 66(6). 1275–1291. 6 indexed citations
16.
Gerke, Steffen, et al.. (2019). Experiments with the X0-specimen on the effect of non-proportional loading paths on damage and fracture mechanisms in aluminum alloys. International Journal of Solids and Structures. 163. 157–169. 39 indexed citations
17.
Brünig, Michael, et al.. (2019). Experiments and numerical simulations with the H-specimen on damage and fracture of ductile metals under non-proportional loading paths. Engineering Fracture Mechanics. 217. 106531–106531. 32 indexed citations
18.
Gerke, Steffen, et al.. (2017). New biaxially loaded specimens for the analysis of damage and fracture in sheet metals. International Journal of Solids and Structures. 110-111. 209–218. 53 indexed citations
19.
Gerke, Steffen, et al.. (2016). Micro‐mechanical studies on the effect of various stress‐states on ductile damage and failure. PAMM. 16(1). 131–132. 1 indexed citations
20.
Brünig, Michael, Steffen Gerke, & Daniel Brenner. (2014). New 2D-Experiments and Numerical Simulations on Stress-state-dependence of Ductile Damage and Failure. Procedia Materials Science. 3. 177–182. 14 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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