Jörg Brummund

1.3k total citations · 1 hit paper
44 papers, 908 citations indexed

About

Jörg Brummund is a scholar working on Mechanics of Materials, Biomedical Engineering and Civil and Structural Engineering. According to data from OpenAlex, Jörg Brummund has authored 44 papers receiving a total of 908 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Mechanics of Materials, 22 papers in Biomedical Engineering and 16 papers in Civil and Structural Engineering. Recurrent topics in Jörg Brummund's work include Elasticity and Material Modeling (18 papers), Composite Material Mechanics (14 papers) and Vibration Control and Rheological Fluids (14 papers). Jörg Brummund is often cited by papers focused on Elasticity and Material Modeling (18 papers), Composite Material Mechanics (14 papers) and Vibration Control and Rheological Fluids (14 papers). Jörg Brummund collaborates with scholars based in Germany, Romania and United States. Jörg Brummund's co-authors include Markus Kästner, Karl A. Kalina, Volker Ulbricht, Philipp Metsch, Sebastian Müller, Thomas Wallmersperger, Oliver Weeger, WaiChing Sun, C. Spieler and Martin Obst and has published in prestigious journals such as Computer Methods in Applied Mechanics and Engineering, Journal of the Mechanics and Physics of Solids and International Journal for Numerical Methods in Engineering.

In The Last Decade

Jörg Brummund

40 papers receiving 828 citations

Hit Papers

Neural networks meet hyperelasticity: A guide to enforcin... 2023 2026 2024 2025 2023 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jörg Brummund Germany 17 401 371 286 182 182 44 908
Karl A. Kalina Germany 15 369 0.9× 275 0.7× 327 1.1× 176 1.0× 157 0.9× 37 797
M. Koishi Japan 11 114 0.3× 323 0.9× 173 0.6× 65 0.4× 202 1.1× 18 588
Roman Lewandowski Poland 19 188 0.5× 548 1.5× 750 2.6× 38 0.2× 165 0.9× 68 1.3k
Brice Bognet France 10 230 0.6× 184 0.5× 76 0.3× 74 0.4× 122 0.7× 17 641
Abdelmalek Zine France 14 224 0.6× 190 0.5× 165 0.6× 27 0.1× 110 0.6× 57 573
Van Dung Nguyen Belgium 18 120 0.3× 648 1.7× 139 0.5× 74 0.4× 296 1.6× 43 1.0k
M. Lefik Poland 14 233 0.6× 353 1.0× 156 0.5× 108 0.6× 170 0.9× 49 794
Chady Ghnatios France 14 70 0.2× 254 0.7× 67 0.2× 240 1.3× 278 1.5× 84 698
F. Chinesta France 11 67 0.2× 254 0.7× 81 0.3× 163 0.9× 127 0.7× 19 532
Felix Fritzen Germany 20 116 0.3× 1.2k 3.1× 325 1.1× 131 0.7× 351 1.9× 53 1.4k

Countries citing papers authored by Jörg Brummund

Since Specialization
Citations

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

Fields of papers citing papers by Jörg Brummund

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jörg Brummund

This figure shows the co-authorship network connecting the top 25 collaborators of Jörg Brummund. A scholar is included among the top collaborators of Jörg Brummund 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 Jörg Brummund. Jörg Brummund 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.
Kalina, Karl A., et al.. (2025). A dual-stage constitutive modeling framework based on finite strain data-driven identification and physics-augmented neural networks. Computer Methods in Applied Mechanics and Engineering. 447. 118289–118289. 1 indexed citations
2.
Kalina, Karl A., et al.. (2024). Neural network-based multiscale modeling of finite strain magneto-elasticity with relaxed convexity criteria. Computer Methods in Applied Mechanics and Engineering. 421. 116739–116739. 37 indexed citations
3.
Kalina, Karl A., et al.. (2024). Viscoelasticty with physics-augmented neural networks: model formulation and training methods without prescribed internal variables. Computational Mechanics. 74(6). 1279–1301. 27 indexed citations
4.
Kalina, Karl A., et al.. (2023). Neural networks meet hyperelasticity: A guide to enforcing physics. Journal of the Mechanics and Physics of Solids. 179. 105363–105363. 95 indexed citations breakdown →
5.
Kalina, Karl A., et al.. (2023). A comparative study on different neural network architectures to model inelasticity. International Journal for Numerical Methods in Engineering. 124(21). 4802–4840. 42 indexed citations
6.
Kalina, Karl A., et al.. (2023). FE$${}^\textrm{ANN}$$: an efficient data-driven multiscale approach based on physics-constrained neural networks and automated data mining. Computational Mechanics. 71(5). 827–851. 71 indexed citations
7.
Brummund, Jörg, et al.. (2023). Overview of phase-field models for fatigue fracture in a unified framework. Engineering Fracture Mechanics. 288. 109318–109318. 41 indexed citations
8.
Kalina, Karl A., Philipp Metsch, Jörg Brummund, & Markus Kästner. (2021). A macroscopic model for magneto‐active elastomers based on microscopic simulations. PAMM. 20(1). 1 indexed citations
9.
Metsch, Philipp, Henrik Schmidt, Karl A. Kalina, et al.. (2021). Particle Interactions in Magneto‐Active Elastomers: Experiments and Simulations. PAMM. 20(1).
10.
Kalina, Karl A., et al.. (2021). Automated constitutive modeling of isotropic hyperelasticity based on artificial neural networks. Computational Mechanics. 69(1). 213–232. 55 indexed citations
11.
Kalina, Karl A., Philipp Metsch, Jörg Brummund, & Markus Kästner. (2020). A macroscopic model for magnetorheological elastomers based on microscopic simulations. International Journal of Solids and Structures. 193-194. 200–212. 37 indexed citations
12.
Kalina, Karl A., Philipp Metsch, Jörg Brummund, & Markus Kästner. (2019). Development of a Macro‐Model for Magnetorheological Elastomers based on Microscopic Simulations. PAMM. 19(1). 3 indexed citations
13.
Kalina, Karl A., Jörg Brummund, Philipp Metsch, & Markus Kästner. (2018). Modeling and Simulation of Hysteresis Effects in Magnetorheological Elastomers. PAMM. 18(1). 3 indexed citations
14.
Metsch, Philipp, Karl A. Kalina, Jörg Brummund, & Markus Kästner. (2018). Two- and three-dimensional modeling approaches in magneto-mechanics: a quantitative comparison. Archive of Applied Mechanics. 89(1). 47–62. 25 indexed citations
15.
Kalina, Karl A., Jörg Brummund, Philipp Metsch, & Markus Kästner. (2017). Microscale Modeling and Simulation of Magnetorheological Elastomers. PAMM. 17(1). 27–30. 3 indexed citations
17.
Brummund, Jörg, et al.. (2017). On boundary conditions for homogenization of volume elements undergoing localization. International Journal for Numerical Methods in Engineering. 113(1). 1–21. 10 indexed citations
18.
Kästner, Markus, et al.. (2014). General Aspects of Yield Stress Fluids - Terminology and Definition of Viscosity. 8 indexed citations
19.
Müller, Sebastian, Markus Kästner, Jörg Brummund, & Volker Ulbricht. (2012). On the numerical handling of fractional viscoelastic material models in a FE analysis. Computational Mechanics. 51(6). 999–1012. 39 indexed citations
20.
Ulbricht, Volker, et al.. (2004). Modelling the mechanical properties of biaxial weft‐knitted fabric reinforced. PAMM. 4(1). 193–194. 3 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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