Werner Riedel

2.4k total citations
69 papers, 1.8k citations indexed

About

Werner Riedel is a scholar working on Materials Chemistry, Civil and Structural Engineering and Mechanics of Materials. According to data from OpenAlex, Werner Riedel has authored 69 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Materials Chemistry, 43 papers in Civil and Structural Engineering and 27 papers in Mechanics of Materials. Recurrent topics in Werner Riedel's work include High-Velocity Impact and Material Behavior (45 papers), Structural Response to Dynamic Loads (38 papers) and Mechanical Behavior of Composites (11 papers). Werner Riedel is often cited by papers focused on High-Velocity Impact and Material Behavior (45 papers), Structural Response to Dynamic Loads (38 papers) and Mechanical Behavior of Composites (11 papers). Werner Riedel collaborates with scholars based in Germany, Australia and Singapore. Werner Riedel's co-authors include K. Thoma, Ken-ichi Kondo, Nobuaki Kawai, Shannon Ryan, Torsten Lässig, Stefan Hiermaier, Richard A. Clegg, Alexander Stolz, Thomas Borrvall and A.P. Mouritz and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computer Methods in Applied Mechanics and Engineering and International Journal for Numerical Methods in Engineering.

In The Last Decade

Werner Riedel

68 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Werner Riedel Germany 24 1.2k 1.1k 737 196 179 69 1.8k
Mingyang Wang China 26 927 0.8× 386 0.4× 835 1.1× 68 0.3× 139 0.8× 122 2.0k
Atíye Tuğrul Türkiye 24 760 0.7× 488 0.5× 903 1.2× 144 0.7× 297 1.7× 104 2.1k
Jun S. Lee South Korea 20 303 0.3× 342 0.3× 308 0.4× 52 0.3× 194 1.1× 96 1.4k
Ming Chen China 27 1.5k 1.3× 747 0.7× 1.5k 2.0× 167 0.9× 285 1.6× 151 2.5k
Xing Li China 25 647 0.6× 362 0.3× 995 1.4× 72 0.4× 236 1.3× 119 1.9k
John V. Sharp United Kingdom 21 141 0.1× 725 0.7× 278 0.4× 33 0.2× 502 2.8× 75 1.3k
Christian G. Hoover United States 25 910 0.8× 647 0.6× 784 1.1× 223 1.1× 289 1.6× 64 2.1k
Yann Le Pape United States 27 1.1k 0.9× 676 0.6× 397 0.5× 124 0.6× 81 0.5× 81 1.7k
Mauro Dolce Italy 33 3.5k 3.0× 867 0.8× 120 0.2× 790 4.0× 166 0.9× 118 4.1k
Hao Cheng China 22 701 0.6× 198 0.2× 923 1.3× 36 0.2× 111 0.6× 88 1.8k

Countries citing papers authored by Werner Riedel

Since Specialization
Citations

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

Fields of papers citing papers by Werner Riedel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Werner Riedel

This figure shows the co-authorship network connecting the top 25 collaborators of Werner Riedel. A scholar is included among the top collaborators of Werner Riedel 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 Werner Riedel. Werner Riedel 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.
Tan, Kang Hai, et al.. (2024). FEM- and ANN-based design of CFRP-strengthened RC walls under close-in explosions. Structures. 61. 105930–105930. 3 indexed citations
2.
Riedel, Werner, et al.. (2024). Simulating the break-up, debris formation and throw of concrete structures under explosive loading. International Journal of Impact Engineering. 196. 105154–105154.
3.
Signetti, Stefano, et al.. (2023). Simulation of blast propagation and structural effects of accidental hydrogen-air-mixture explosion in a two-stage light-gas gun laboratory for hypervelocity impact experiments. Journal of Loss Prevention in the Process Industries. 85. 105138–105138. 3 indexed citations
4.
Riedel, Werner, O. Sipilä, E. Redaelli, et al.. (2023). Modelling deuterated isotopologues of methanol towards the pre-stellar core L1544. Astronomy and Astrophysics. 680. A87–A87. 10 indexed citations
5.
Hoschke, Klaus, et al.. (2023). Multi-objective optimization of additive manufactured functionally graded lattice structures under impact. International Journal of Impact Engineering. 183. 104789–104789. 28 indexed citations
6.
Heine, A., et al.. (2023). High-velocity impact experiments and quantitative damage evaluation for finite ultra-high-performance concrete targets. International Journal of Protective Structures. 15(4). 802–838. 1 indexed citations
7.
Harju, J., J. E. Pineda, O. Sipilä, et al.. (2023). Nuclear spin ratios of deuterated ammonia in prestellar cores. Astronomy and Astrophysics. 682. A8–A8. 3 indexed citations
8.
Rietkerk, Robbert, A. Heine, & Werner Riedel. (2022). Physics-informed machine learning model for prediction of long-rod penetration depth in a semi-infinite target. International Journal of Impact Engineering. 173. 104465–104465. 13 indexed citations
9.
Sauer, Martin, et al.. (2021). Hugoniot Data and Equation of State Parameters for an Ultra-High Performance Concrete. Journal of Dynamic Behavior of Materials. 8(1). 2–19. 12 indexed citations
10.
Fung, T. C., et al.. (2021). An analytical model to predict spalling and breaching of concrete plates under contact detonation. International Journal of Impact Engineering. 160. 104075–104075. 13 indexed citations
11.
Fung, T. C., et al.. (2020). Response mechanisms of reinforced concrete panels to the combined effect of close-in blast and fragments: An integrated experimental and numerical analysis. International Journal of Protective Structures. 12(1). 49–72. 19 indexed citations
12.
Heine, A., et al.. (2019). Ballistic impact on fired clay masonry bricks. International Journal of Protective Structures. 11(3). 304–318. 8 indexed citations
13.
Heine, A., et al.. (2018). Comprehensive study of projectile impact on lightweight adobe masonry. International Journal of Impact Engineering. 125. 56–62. 13 indexed citations
14.
Fischer, Kai, Stefan Hiermaier, Werner Riedel, & Ivo Häring. (2018). Morphology Dependent Assessment of Resilience for Urban Areas. Sustainability. 10(6). 1800–1800. 26 indexed citations
15.
Heine, A., et al.. (2018). Shock Response of Lightweight Adobe Masonry. Journal of Dynamic Behavior of Materials. 4(2). 231–243. 7 indexed citations
16.
Heine, A., et al.. (2017). Developing a validated hydrocode model for adobe under impact loading. International Journal of Impact Engineering. 104. 164–176. 14 indexed citations
17.
Heine, A., et al.. (2017). Assessment of the Protective Properties of Two Different UHA Steels Based on Material Testing and Numerical Simulation. Procedia Engineering. 197. 119–129. 2 indexed citations
18.
Heine, A., et al.. (2017). Stability of tungsten projectiles penetrating adobe masonry – Combined experimental and numerical analysis. International Journal of Impact Engineering. 109. 67–77. 10 indexed citations
19.
Fischer, Kai, et al.. (2015). Design against Explosions and Subsequent Progressive Collapse. Structural Engineering International. 25(3). 319–325. 4 indexed citations
20.
Schäfer, F., R. Destefanis, Shannon Ryan, Werner Riedel, & M. Lambert. (2005). Hypervelocity Impact Testing of Cfrp/al Honeycomb Satellite Structures. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 587. 407–412. 14 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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