Bernd Markert

14.6k total citations · 1 hit paper
473 papers, 10.8k citations indexed

About

Bernd Markert is a scholar working on Mechanics of Materials, Mechanical Engineering and Biomedical Engineering. According to data from OpenAlex, Bernd Markert has authored 473 papers receiving a total of 10.8k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Mechanics of Materials, 88 papers in Mechanical Engineering and 82 papers in Biomedical Engineering. Recurrent topics in Bernd Markert's work include Heavy metals in environment (56 papers), Elasticity and Material Modeling (45 papers) and Lichen and fungal ecology (44 papers). Bernd Markert is often cited by papers focused on Heavy metals in environment (56 papers), Elasticity and Material Modeling (45 papers) and Lichen and fungal ecology (44 papers). Bernd Markert collaborates with scholars based in Germany, China and United States. Bernd Markert's co-authors include Franz Bamer, Yousef Heider, Sandeep P. Patil, Wolfgang Ehlers, Jörg Oehlmann, Marcus Stoffel, Harald G. Zechmeister, Anton M. Breure, Ulrike Schulte‐Oehlmann and Vera Weckert and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and PLoS ONE.

In The Last Decade

Bernd Markert

458 papers receiving 10.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Effects of porosity on the mechanical properties of additively manufactured components: a critical review

2020 279 citations Bernd Markert et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bernd Markert Germany	55	2.6k	1.6k	1.5k	1.4k	1.4k	473	10.8k
Feng Zhu China	65	2.2k 0.8×	322 0.2×	1.1k 0.7×	1.7k 1.2×	2.0k 1.4×	571	15.8k
Xing Xu China	88	1.2k 0.5×	1.1k 0.7×	1.0k 0.7×	4.0k 2.8×	1.4k 1.0×	635	28.7k
Ping Zhang China	48	1.5k 0.6×	162 0.1×	889 0.6×	1.7k 1.2×	1.2k 0.9×	441	10.1k
Hui Wang China	58	4.2k 1.6×	220 0.1×	1.7k 1.1×	1.4k 1.0×	438 0.3×	626	12.3k
Ling Li China	66	898 0.3×	148 0.1×	673 0.4×	1.1k 0.8×	1.0k 0.7×	639	18.2k
Yi Chen China	61	3.5k 1.3×	214 0.1×	885 0.6×	1.7k 1.2×	700 0.5×	421	11.8k
Chao Chen China	50	1.5k 0.6×	244 0.1×	2.9k 1.9×	1.3k 0.9×	473 0.3×	457	9.8k
Huimin Xie China	57	2.3k 0.9×	101 0.1×	635 0.4×	3.0k 2.1×	3.1k 2.2×	803	18.4k
S. A. Abbasi India	57	1.0k 0.4×	185 0.1×	314 0.2×	978 0.7×	554 0.4×	339	11.7k
Fan Zhang China	48	1.6k 0.6×	209 0.1×	811 0.5×	518 0.4×	376 0.3×	461	9.7k

Countries citing papers authored by Bernd Markert

Since Specialization

Citations

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

Fields of papers citing papers by Bernd Markert

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bernd Markert

This figure shows the co-authorship network connecting the top 25 collaborators of Bernd Markert. A scholar is included among the top collaborators of Bernd Markert 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 Bernd Markert. Bernd Markert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

1.

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

2.

Kocur, Georg Karl, et al.. (2024). TDOA-based localization of cracking sound events with minimal-error microphone subsets. NDT & E International. 147. 103211–103211. 1 indexed citations

3.

Zhang, Dawei, et al.. (2024). A variational phase-field framework for multiphysics modelling of degradation and stress corrosion cracking in biodegradable magnesium alloys. Journal of the Mechanics and Physics of Solids. 190. 105694–105694. 7 indexed citations

4.

Kocur, Georg Karl, et al.. (2024). Acoustic source localization by deep-learning attention-based modulation of microphone array data. NDT & E International. 148. 103233–103233. 3 indexed citations

5.

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

6.

Heider, Yousef, et al.. (2023). Predicting residual stresses in SLM additive manufacturing using a phase-field thermomechanical modeling framework. Computational Materials Science. 231. 112576–112576. 12 indexed citations

7.

Markert, Bernd, et al.. (2023). Generative learning‐based model for the prediction of 2D stress distribution. PAMM. 23(4). 1 indexed citations

8.

Peters, Sven, Yousef Heider, & Bernd Markert. (2023). Numerical simulation of miscible multiphase flow and fluid–fluid interaction in deformable porous media. PAMM. 23(2). 3 indexed citations

9.

Topol, Heiko, et al.. (2023). Post-bifurcation of inflated fibrous cylindrical membranes under different fiber configurations. European Journal of Mechanics - A/Solids. 101. 105065–105065. 7 indexed citations

10.

Nicolini, Luis Fernando, et al.. (2023). Prediction of Temperature and Loading History Dependent Lumbar Spine Biomechanics Under Cyclic Loading Using Recurrent Neural Networks. Annals of Biomedical Engineering. 51(6). 1244–1255. 3 indexed citations

11.

Bamer, Franz, et al.. (2022). Displacement field splitting of defective hexagonal lattices. Physical review. B.. 106(1). 3 indexed citations

12.

Bamer, Franz, et al.. (2021). Data-driven classification of elementary rearrangement events in silica glass. Scripta Materialia. 205. 114179–114179. 5 indexed citations

13.

Kocur, Georg Karl, et al.. (2020). Automated identification of the coefficient of restitution via bouncing ball measurement. Archive of Applied Mechanics. 91(1). 47–60. 5 indexed citations

14.

Markert, Bernd, et al.. (2018). An investigation on residual stresses in gas tungsten arc welding. PAMM. 18(1). 1 indexed citations

15.

Koeppe, Arnd, et al.. (2017). Neural network representation of a phase‐field model for brittle fracture. PAMM. 17(1). 253–254. 10 indexed citations

16.

Ma, Songyun, et al.. (2017). Assessment of the high‐cycle fatigue performance of a PEEK‐based spinal dynamic instrumentation using numerical simulation and experimental data. PAMM. 17(1). 181–182. 1 indexed citations

17.

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

18.

Karajan, Nils, et al.. (2005). FE Treatment of InhomogeneitiesWithin the Intervertebral Disc. PAMM. 5(1). 237–238. 3 indexed citations

19.

Wieners, Christian, et al.. (2005). Parallel Solution Methods for Porous Media Models in Biomechanics. PAMM. 5(1). 35–38. 7 indexed citations

20.

Markert, Bernd. (1993). Plants as biomonitors : indicators for heavy metals in the terrestrial environment. 379 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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