Rolf Mahnken

3.0k total citations · 1 hit paper
160 papers, 2.1k citations indexed

About

Rolf Mahnken is a scholar working on Mechanics of Materials, Mechanical Engineering and Biomedical Engineering. According to data from OpenAlex, Rolf Mahnken has authored 160 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 109 papers in Mechanics of Materials, 68 papers in Mechanical Engineering and 37 papers in Biomedical Engineering. Recurrent topics in Rolf Mahnken's work include Elasticity and Material Modeling (36 papers), Composite Material Mechanics (33 papers) and Numerical methods in engineering (32 papers). Rolf Mahnken is often cited by papers focused on Elasticity and Material Modeling (36 papers), Composite Material Mechanics (33 papers) and Numerical methods in engineering (32 papers). Rolf Mahnken collaborates with scholars based in Germany, China and Austria. Rolf Mahnken's co-authors include Erwin Stein, Henning Wessels, E. Stein, Christian Dammann, Thomas Antretter, Ellen Kuhl, Kenneth Runesson, Michael W. Wolff, Michael Böhm and Gottfried Laschet and has published in prestigious journals such as Polymer, Materials Science and Engineering A and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

Rolf Mahnken

152 papers receiving 2.0k citations

Hit Papers

Physics informed neural networks for continuum micromecha... 2022 2026 2023 2024 2022 40 80 120
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. Physics informed neural networks for continuum micromechanics
    2022 139 citations Rolf Mahnken et al. Computer Methods in Applied Mechanics and Engineering profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rolf Mahnken Germany 22 1.4k 1.0k 464 455 352 160 2.1k
Miguel A. Bessa United States 20 1.5k 1.1× 744 0.7× 452 1.0× 322 0.7× 677 1.9× 45 2.5k
Markus Kästner Germany 31 1.3k 0.9× 648 0.6× 367 0.8× 596 1.3× 606 1.7× 147 2.4k
Andreï Constantinescu France 28 1.1k 0.8× 1.0k 1.0× 414 0.9× 373 0.8× 445 1.3× 110 2.2k
Frédéric Feyel France 17 2.1k 1.5× 644 0.6× 690 1.5× 209 0.5× 385 1.1× 47 2.6k
Hamid Zahrouni France 25 1.1k 0.8× 573 0.6× 223 0.5× 168 0.4× 398 1.1× 70 1.6k
Werner Wagner Germany 30 2.4k 1.7× 552 0.5× 298 0.6× 613 1.3× 1.5k 4.2× 147 3.1k
Emilio Turco Italy 34 1.8k 1.3× 817 0.8× 1.1k 2.4× 400 0.9× 895 2.5× 87 2.8k
Julia Mergheim Germany 22 902 0.7× 597 0.6× 285 0.6× 190 0.4× 208 0.6× 93 1.6k
Kerstin Weinberg Germany 26 1.0k 0.8× 552 0.5× 536 1.2× 169 0.4× 596 1.7× 126 2.1k
Xiangyang Cui China 38 2.2k 1.6× 992 1.0× 422 0.9× 248 0.5× 835 2.4× 142 3.7k

Countries citing papers authored by Rolf Mahnken

Since Specialization
Citations

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

Fields of papers citing papers by Rolf Mahnken

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rolf Mahnken

This figure shows the co-authorship network connecting the top 25 collaborators of Rolf Mahnken. A scholar is included among the top collaborators of Rolf Mahnken 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 Rolf Mahnken. Rolf Mahnken 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
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Mahnken, Rolf, et al.. (2023). On the accuracy, stability and computational efficiency of explicit last-stage diagonally implicit Runge–Kutta methods (ELDIRK) for the adaptive solution of phase-field problems. Computer Methods in Applied Mechanics and Engineering. 418. 116545–116545. 3 indexed citations
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Mahnken, Rolf, et al.. (2022). NTFA-enabled goal-oriented adaptive space–time finite elements for micro-heterogeneous elastoplasticity problems. Computer Methods in Applied Mechanics and Engineering. 398. 115199–115199. 5 indexed citations
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Mahnken, Rolf, et al.. (2022). Goal-oriented error estimation and h-adaptive finite elements for hyperelastic micromorphic continua. Computational Mechanics. 69(3). 847–863. 4 indexed citations
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Mahnken, Rolf, et al.. (2022). Multiscale analysis of composite structures with goal-oriented mesh adaptivity and reduced order homogenization. Composite Structures. 292. 115699–115699. 2 indexed citations
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Mahnken, Rolf, et al.. (2019). Goal-oriented h-type adaptive finite elements for micromorphic elastoplasticity. Computer Methods in Applied Mechanics and Engineering. 351. 297–329. 14 indexed citations
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Mahnken, Rolf, et al.. (2019). Goal‐oriented adaptivity based on a model hierarchy of mean‐field and full‐field homogenization methods in linear elasticity. International Journal for Numerical Methods in Engineering. 121(2). 277–307. 11 indexed citations
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Mahnken, Rolf, et al.. (2018). A multi-mechanism model for cutting simulation: A Ginzburg-Landau type phase gradient and numerical implementations. International Journal of Solids and Structures. 160. 1–17. 5 indexed citations
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Mahnken, Rolf, et al.. (2017). Goal‐oriented adaptivity for linear elastic micromorphic continua based on primal and adjoint consistency analysis. International Journal for Numerical Methods in Engineering. 112(8). 1017–1039. 13 indexed citations
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Antretter, Thomas, et al.. (2017). Transformation strains for bainitic variant evolution in steel. PAMM. 17(1). 587–588. 1 indexed citations
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Mahnken, Rolf, et al.. (2017). A fuzzy finite element method for sparse experimental data based on a possibilistic approach. PAMM. 17(1). 55–56. 1 indexed citations
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Mahnken, Rolf, et al.. (2017). A coupled phase field/diffusion model for upper and lower bainitic transformation. International Journal of Solids and Structures. 135. 172–183. 8 indexed citations
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Mahnken, Rolf, et al.. (2014). Multi-scale modeling of bainitic phase transformation in multi-variant polycrystalline low alloy steels. International Journal of Solids and Structures. 54. 156–171. 15 indexed citations
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Mahnken, Rolf. (2013). Thermodynamic consistent modeling of polymer curing coupled to visco–elasticity at large strains. International Journal of Solids and Structures. 50(13). 2003–2021. 43 indexed citations
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Mahnken, Rolf, et al.. (2005). Simulation of strength difference in elasto-plasticity for adhesive materials. International Journal for Numerical Methods in Engineering. 63(10). 1461–1477. 64 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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