Franz Bamer

1.7k total citations
80 papers, 1.2k citations indexed

About

Franz Bamer is a scholar working on Civil and Structural Engineering, Materials Chemistry and Statistical and Nonlinear Physics. According to data from OpenAlex, Franz Bamer has authored 80 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Civil and Structural Engineering, 19 papers in Materials Chemistry and 18 papers in Statistical and Nonlinear Physics. Recurrent topics in Franz Bamer's work include Structural Health Monitoring Techniques (21 papers), Model Reduction and Neural Networks (18 papers) and Probabilistic and Robust Engineering Design (16 papers). Franz Bamer is often cited by papers focused on Structural Health Monitoring Techniques (21 papers), Model Reduction and Neural Networks (18 papers) and Probabilistic and Robust Engineering Design (16 papers). Franz Bamer collaborates with scholars based in Germany, United States and France. Franz Bamer's co-authors include Bernd Markert, Marcus Stoffel, Arnd Koeppe, Marion Mundt, Sina David, Wolfgang Potthast, Christian Bucher, Abbas Kazemi Amiri, Michael Selzer and Britta Nestler and has published in prestigious journals such as SHILAP Revista de lepidopterología, Materials Science and Engineering A and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

Franz Bamer

76 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Franz Bamer Germany 20 339 318 217 208 191 80 1.2k
E. Jacquelin France 23 1.0k 3.0× 217 0.7× 414 1.9× 38 0.2× 446 2.3× 72 1.5k
Vincent Denoël Belgium 17 517 1.5× 192 0.6× 138 0.6× 29 0.1× 245 1.3× 142 1.1k
David Chelidze United States 17 480 1.4× 90 0.3× 161 0.7× 151 0.7× 165 0.9× 73 1.0k
Gexue Ren China 23 407 1.2× 189 0.6× 415 1.9× 40 0.2× 524 2.7× 79 1.5k
Frank L. DiMaggio United States 12 517 1.5× 262 0.8× 402 1.9× 38 0.2× 380 2.0× 49 1.6k
Bortolino Saggin Italy 18 170 0.5× 245 0.8× 52 0.2× 30 0.1× 146 0.8× 156 1.1k
Laurent Stainier France 26 369 1.1× 698 2.2× 1.4k 6.3× 409 2.0× 605 3.2× 94 2.6k
Hyuk Lee Australia 10 289 0.9× 45 0.1× 130 0.6× 209 1.0× 76 0.4× 19 685
R. Stanway United Kingdom 25 2.0k 6.0× 331 1.0× 207 1.0× 10 0.0× 873 4.6× 109 2.6k
Johann Guilleminot United States 21 383 1.1× 287 0.9× 525 2.4× 98 0.5× 182 1.0× 69 1.2k

Countries citing papers authored by Franz Bamer

Since Specialization
Citations

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

Fields of papers citing papers by Franz Bamer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Franz Bamer

This figure shows the co-authorship network connecting the top 25 collaborators of Franz Bamer. A scholar is included among the top collaborators of Franz Bamer 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 Franz Bamer. Franz Bamer 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
2.
Markert, Bernd, et al.. (2025). Predicting fracture in disordered network materials using the local intelligent stress threshold indicator. Communications Physics. 8(1). 1 indexed citations
3.
Bamer, Franz, et al.. (2025). Geometrical fingerprints of shear transformation zones in network glasses. Communications Materials. 7(1).
4.
Markert, Bernd, et al.. (2024). Tuning the Poisson’s ratio of two-dimensional model network materials with application to 2D-silica bilayer structures. Computational Materials Science. 241. 113054–113054. 1 indexed citations
5.
Bamer, Franz, et al.. (2023). Molecular Mechanics of Disordered Solids. Archives of Computational Methods in Engineering. 30(3). 2105–2180. 6 indexed citations
6.
Markert, Bernd, et al.. (2023). Numerical investigation of the Poisson's ratio of amorphous graphene sheets. PAMM. 23(4). 1 indexed citations
7.
Bamer, Franz, et al.. (2022). Displacement field splitting of defective hexagonal lattices. Physical review. B.. 106(1). 3 indexed citations
8.
Bamer, Franz, et al.. (2021). Data-driven classification of elementary rearrangement events in silica glass. Scripta Materialia. 205. 114179–114179. 5 indexed citations
9.
Mundt, Marion, Arnd Koeppe, Sina David, et al.. (2020). Prediction of ground reaction force and joint moments based on optical motion capture data during gait. Medical Engineering & Physics. 86(1). 29–34. 38 indexed citations
10.
Stoffel, Marcus, et al.. (2020). Continuous Zachariasen carbon monolayers under tensile deformation: Insights from molecular dynamics simulations. Extreme Mechanics Letters. 38. 100744–100744. 6 indexed citations
11.
Mundt, Marion, Arnd Koeppe, Sina David, et al.. (2020). Estimation of Gait Mechanics Based on Simulated and Measured IMU Data Using an Artificial Neural Network. Frontiers in Bioengineering and Biotechnology. 8. 41–41. 109 indexed citations
12.
Bamer, Franz, et al.. (2019). A substructure formulation for the earthquake -induced nonlinear structural pounding problem. Earthquakes and Structures. 17(1). 101–113. 1 indexed citations
13.
Mundt, Marion, Sina David, Arnd Koeppe, et al.. (2019). JOINT ANGLE ESTIMATION DURING FAST CUTTING MANOEUVRES USING ARTIFICIAL NEURAL NETWORKS. ISBS Proceedings Archive. 37(1). 101–104. 1 indexed citations
14.
David, Sina, Marion Mundt, Arnd Koeppe, et al.. (2019). THE INFLUENCE OF FILTER PARAMETERS ON THE PREDICTION ACCURACY OF THE GROUND REACTION FORCE AND JOINT MOMENTS. ISBS Proceedings Archive. 37(1). 427–430. 2 indexed citations
15.
Mundt, Marion, Arnd Koeppe, Sina David, et al.. (2019). Prediction of lower limb joint angles and moments during gait using artificial neural networks. Medical & Biological Engineering & Computing. 58(1). 211–225. 86 indexed citations
16.
Mundt, Marion, Arnd Koeppe, Franz Bamer, Wolfgang Potthast, & Bernd Markert. (2018). PREDICTION OF JOINT KINETICS BASED ON JOINT KINEMATICS USING ARTIFICIAL NEURAL NETWORKS. ISBS Proceedings Archive. 36(1). 794. 3 indexed citations
17.
Koeppe, Arnd, et al.. (2017). Neural network representation of a phase‐field model for brittle fracture. PAMM. 17(1). 253–254. 10 indexed citations
18.
Mundt, Marion, et al.. (2017). Biomechanical evaluation of a femoral neck fracture implant using a novel test‐stand. PAMM. 17(1). 209–210. 1 indexed citations
19.
Bamer, Franz, et al.. (2017). An explicit reduced order integration scheme for contact problems in structural dynamics. PAMM. 17(1). 349–350. 1 indexed citations
20.
Bamer, Franz, Arnd Koeppe, & Bernd Markert. (2017). An efficient Monte Carlo simulation strategy based on model order reduction and artificial neural networks. PAMM. 17(1). 287–288. 10 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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