Jörg F. Unger

1.4k total citations
47 papers, 1.0k citations indexed

About

Jörg F. Unger is a scholar working on Mechanics of Materials, Civil and Structural Engineering and Mechanical Engineering. According to data from OpenAlex, Jörg F. Unger has authored 47 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Mechanics of Materials, 20 papers in Civil and Structural Engineering and 9 papers in Mechanical Engineering. Recurrent topics in Jörg F. Unger's work include Structural Health Monitoring Techniques (12 papers), Numerical methods in engineering (11 papers) and Composite Material Mechanics (8 papers). Jörg F. Unger is often cited by papers focused on Structural Health Monitoring Techniques (12 papers), Numerical methods in engineering (11 papers) and Composite Material Mechanics (8 papers). Jörg F. Unger collaborates with scholars based in Germany, France and United States. Jörg F. Unger's co-authors include Stefan Eckardt, Carsten Könke, Guido De Roeck, Anne Teughels, Nicholas G. Dagalakis, James S. Albus, Laura De Lorenzis, Peter Otto, J. Oliver and Christoph Schweizer and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computer Methods in Applied Mechanics and Engineering and Journal of the Mechanics and Physics of Solids.

In The Last Decade

Jörg F. Unger

44 papers receiving 996 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jörg F. Unger Germany 14 587 486 148 142 99 47 1.0k
Alphose Zingoni South Africa 24 428 0.7× 829 1.7× 187 1.3× 159 1.1× 409 4.1× 69 1.3k
H. Alicia Kim United States 16 541 0.9× 777 1.6× 111 0.8× 100 0.7× 138 1.4× 39 994
Sawekchai Tangaramvong Australia 17 163 0.3× 625 1.3× 59 0.4× 178 1.3× 64 0.6× 77 887
Kai A. James United States 17 480 0.8× 687 1.4× 70 0.5× 56 0.4× 146 1.5× 72 940
Prodyot K. Basu United States 17 404 0.7× 430 0.9× 207 1.4× 112 0.8× 141 1.4× 60 851
Thomas Borrvall Sweden 8 567 1.0× 1.2k 2.4× 249 1.7× 149 1.0× 262 2.6× 12 1.4k
B. Patzák Czechia 14 439 0.7× 283 0.6× 190 1.3× 118 0.8× 113 1.1× 52 764
Nico P. van Dijk Sweden 14 672 1.1× 843 1.7× 172 1.2× 92 0.6× 120 1.2× 17 1.2k
Fabian Duddeck Germany 17 229 0.4× 569 1.2× 135 0.9× 75 0.5× 455 4.6× 120 1.2k
Dale A. Hopkins United States 16 843 1.4× 753 1.5× 55 0.4× 72 0.5× 191 1.9× 90 1.3k

Countries citing papers authored by Jörg F. Unger

Since Specialization
Citations

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

Fields of papers citing papers by Jörg F. Unger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jörg F. Unger

This figure shows the co-authorship network connecting the top 25 collaborators of Jörg F. Unger. A scholar is included among the top collaborators of Jörg F. Unger 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 F. Unger. Jörg F. Unger 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.
Unger, Jörg F., et al.. (2025). Integrating custom constitutive models into FEniCSx: A versatile approach and case studies. Advances in Engineering Software. 206. 103922–103922. 1 indexed citations
2.
Agrawal, Atul, et al.. (2024). From concrete mixture to structural design—a holistic optimization procedure in the presence of uncertainties. SHILAP Revista de lepidopterología. 5. 2 indexed citations
3.
Chatzi, Eleni, et al.. (2024). A Bayesian framework for constitutive model identification via use of full field measurements, with application to heterogeneous materials. Computer Methods in Applied Mechanics and Engineering. 433. 117489–117489. 3 indexed citations
4.
Weiser, Martin, et al.. (2024). Bias Identification Approaches for Model Updating of Simulation-based Digital Twins of Bridges. SHILAP Revista de lepidopterología. 2(2).
5.
Balzani, Daniel, et al.. (2024). Regularization of softening plasticity models for explicit dynamics using a gradient-enhanced modified Johnson–Holmquist model. International Journal of Impact Engineering. 198. 105209–105209. 3 indexed citations
6.
Meng, Birgit, et al.. (2023). Wissensbasierte Digitalisierung von betontechnologischen Materialdaten. ce/papers. 6(6). 1505–1515. 1 indexed citations
7.
Weiser, Martin, et al.. (2023). A Bayesian Framework for Simulation‐based Digital Twins of Bridges. ce/papers. 6(5). 734–740. 3 indexed citations
8.
Unger, Jörg F., et al.. (2023). Data provenance - from experimental data to trustworthy simulation models and standards. Materials Today Proceedings. 1 indexed citations
9.
Maheri, Mahmoud R., et al.. (2021). Damage Detection of a Scaled Steel Frame Offshore Structure Using an Improved Imperialist Competitive Algorithm. Iranian Journal of Science and Technology Transactions of Civil Engineering. 46(2). 1011–1025. 4 indexed citations
10.
Unger, Jörg F., et al.. (2020). Efficient higher-order cycle jump integration of a continuum fatigue damage model. International Journal of Fatigue. 141. 105863–105863. 13 indexed citations
11.
12.
Otto, Peter, Laura De Lorenzis, & Jörg F. Unger. (2016). A regularized model for impact in explicit dynamics applied to the split Hopkinson pressure bar. Computational Mechanics. 58(4). 681–695. 7 indexed citations
13.
Unger, Jörg F., et al.. (2015). Application of molecular dynamics simulations for the generation of dense concrete mesoscale geometries. Computers & Structures. 158. 274–284. 12 indexed citations
14.
Unger, Jörg F.. (2013). An FE2-X1 approach for multiscale localization phenomena. Journal of the Mechanics and Physics of Solids. 61(4). 928–948. 22 indexed citations
15.
Unger, Jörg F. & Carsten Könke. (2010). Parameter identification of mesoscale models from macroscopic tests using Bayesian neural networks. Publication Server of Weimar Bauhaus-University (Weimar Bauhaus-University). 1 indexed citations
16.
Unger, Jörg F.. (2009). Neural networks in a multiscale approach for concrete. Publication Server of Weimar Bauhaus-University (Weimar Bauhaus-University). 4 indexed citations
17.
Unger, Jörg F., Stefan Eckardt, & Carsten Könke. (2007). Modelling of cohesive crack growth in concrete structures with the extended finite element method. Computer Methods in Applied Mechanics and Engineering. 196(41-44). 4087–4100. 232 indexed citations
18.
Most, Thomas, Jörg F. Unger, & Christian Bucher. (2004). Stochastic modeling of cohesive crack propagation using meshless discretization techniques. Publication Server of Weimar Bauhaus-University (Weimar Bauhaus-University).
19.
Unger, Jörg F., et al.. (1988). Optimum Stiffness Study for a Parallel Link Robot Crane under Horizontal Force. International Symposium on Robotics. 7 indexed citations
20.
Albus, James S., et al.. (1988). Available Robotics Technology for Applications in Heavy Industry. 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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