Dirk Helm

1.2k total citations
56 papers, 877 citations indexed

About

Dirk Helm is a scholar working on Mechanical Engineering, Materials Chemistry and Mechanics of Materials. According to data from OpenAlex, Dirk Helm has authored 56 papers receiving a total of 877 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Mechanical Engineering, 31 papers in Materials Chemistry and 28 papers in Mechanics of Materials. Recurrent topics in Dirk Helm's work include Metallurgy and Material Forming (23 papers), Metal Forming Simulation Techniques (17 papers) and Microstructure and Mechanical Properties of Steels (14 papers). Dirk Helm is often cited by papers focused on Metallurgy and Material Forming (23 papers), Metal Forming Simulation Techniques (17 papers) and Microstructure and Mechanical Properties of Steels (14 papers). Dirk Helm collaborates with scholars based in Germany, China and Netherlands. Dirk Helm's co-authors include Peter Haupt, Alexander Butz, J. Albrecht, Dierk Raabe, G. Lütjering, Michael W. Wolff, Michael Böhm, Peter Gumbsch, Norbert Link and Michael Selzer and has published in prestigious journals such as Acta Materialia, Materials Science and Engineering A and International Journal for Numerical Methods in Engineering.

In The Last Decade

Dirk Helm

54 papers receiving 832 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dirk Helm Germany 16 521 449 367 127 87 56 877
Van Dung Nguyen Belgium 18 277 0.5× 296 0.7× 648 1.8× 120 0.9× 139 1.6× 43 1.0k
Pedro Manuel Calas Lopes Pacheco Brazil 22 768 1.5× 375 0.8× 437 1.2× 107 0.8× 353 4.1× 69 1.3k
S. Lucarini Spain 13 225 0.4× 439 1.0× 369 1.0× 163 1.3× 140 1.6× 18 747
Taejoon Park United States 17 374 0.7× 690 1.5× 533 1.5× 89 0.7× 22 0.3× 67 918
Pınar Acar United States 15 337 0.6× 249 0.6× 228 0.6× 37 0.3× 99 1.1× 94 660
Pascale Kanouté France 14 424 0.8× 684 1.5× 952 2.6× 92 0.7× 94 1.1× 38 1.3k
Xuedao Shu China 16 430 0.8× 929 2.1× 661 1.8× 52 0.4× 27 0.3× 134 1.2k
Haibo Xie Australia 17 305 0.6× 619 1.4× 450 1.2× 97 0.8× 20 0.2× 76 733
H.J.M. Geijselaers Netherlands 20 296 0.6× 753 1.7× 419 1.1× 57 0.4× 86 1.0× 79 984
Bernard Fedelich Germany 20 433 0.8× 935 2.1× 536 1.5× 105 0.8× 65 0.7× 53 1.1k

Countries citing papers authored by Dirk Helm

Since Specialization
Citations

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

Fields of papers citing papers by Dirk Helm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dirk Helm

This figure shows the co-authorship network connecting the top 25 collaborators of Dirk Helm. A scholar is included among the top collaborators of Dirk Helm 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 Dirk Helm. Dirk Helm 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.
Roters, Franz, Yang Bai, Alexander Butz, et al.. (2025). StahlDigital: Ontology‐Based Workflows for the Steel Industry. Advanced Engineering Materials. 27(8).
2.
Helm, Dirk, et al.. (2024). Semantic Orchestration and Exploitation of Material Data: A Dataspace Solution Demonstrated on Steel and Copper Applications. Advanced Engineering Materials. 27(8). 2 indexed citations
3.
4.
Link, Norbert, et al.. (2024). Accurate distances measures and machine learning of the texture-property relation for crystallographic textures represented by one-point statistics. Modelling and Simulation in Materials Science and Engineering. 32(5). 55016–55016. 1 indexed citations
5.
Sandfeld, Stefan, et al.. (2024). Machine learning for structure-guided materials and process design. Materials & Design. 248. 113453–113453. 7 indexed citations
6.
Butz, Alexander, et al.. (2024). Machine learning-based sampling of virtual experiments within the full stress state. International Journal of Mechanical Sciences. 275. 109307–109307. 12 indexed citations
7.
Link, Norbert, et al.. (2023). A multi-task learning-based optimization approach for finding diverse sets of microstructures with desired properties. Journal of Intelligent Manufacturing. 35(4). 1887–1903. 8 indexed citations
8.
Helm, Dirk, et al.. (2023). Neural Networks for Constitutive Modeling: From Universal Function Approximators to Advanced Models and the Integration of Physics. Archives of Computational Methods in Engineering. 31(2). 1097–1127. 44 indexed citations
9.
Helm, Dirk, et al.. (2019). A knowledge-based surrogate modeling approach for cup drawing with limited data. IOP Conference Series Materials Science and Engineering. 651(1). 12047–12047. 5 indexed citations
10.
Helm, Dirk, et al.. (2018). A thermodynamically consistent model for elastoplasticity, recovery, recrystallization and grain coarsening. International Journal of Solids and Structures. 152-153. 185–195. 10 indexed citations
11.
Helm, Dirk, et al.. (2018). Prediction of the behaviour of copper alloy components under complex loadings by electro-thermomechanical coupled simulations. Materials Science and Technology. 36(8). 899–905. 6 indexed citations
12.
Helm, Dirk, et al.. (2017). Material‐based process‐chain optimization in metal forming. PAMM. 17(1). 709–710. 2 indexed citations
13.
Helm, Dirk, et al.. (2016). Thermomechanical characterization of 22MnB5 steels with special emphasis on stress relaxation and creep behavior. Materials Science and Engineering A. 658. 301–308. 6 indexed citations
14.
Butz, Alexander, et al.. (2016). Virtual testing of dual-phase steels: Effect of martensite morphology on plastic flow behavior. Materials Science and Engineering A. 674. 672–686. 18 indexed citations
15.
16.
Merklein, Marion, et al.. (2014). Praxisnahe Versagensbeschreibung bei der Umformung von Feinblechen. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 1 indexed citations
17.
Butz, Alexander, et al.. (2013). Experimental analysis and modeling of the anisotropic response of titanium alloy Ti-X for quasi-static loading at room temperature. International Journal of Material Forming. 7(3). 259–273. 15 indexed citations
18.
Helm, Dirk, et al.. (2012). Investigation and modelling of the material behaviour of DC04 steel. 1 indexed citations
19.
Stamm, Thomas, et al.. (2004). Accuracy of third-order bends of nickel-titanium wires and the effect of high and low pressure during memorizing heat treatment. American Journal of Orthodontics and Dentofacial Orthopedics. 126(4). 476–484. 3 indexed citations
20.
Helm, Dirk & Peter Haupt. (2003). Experimentelle Untersuchung und thermomechanische Modellierung des Materialverhaltens von Gedächtnislegierungen. PAMM. 2(1). 190–191. 1 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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2026