David Moens

4.1k total citations
174 papers, 3.2k citations indexed

About

David Moens is a scholar working on Statistics, Probability and Uncertainty, Civil and Structural Engineering and Mechanical Engineering. According to data from OpenAlex, David Moens has authored 174 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 100 papers in Statistics, Probability and Uncertainty, 89 papers in Civil and Structural Engineering and 43 papers in Mechanical Engineering. Recurrent topics in David Moens's work include Probabilistic and Robust Engineering Design (100 papers), Structural Health Monitoring Techniques (69 papers) and Advanced Multi-Objective Optimization Algorithms (20 papers). David Moens is often cited by papers focused on Probabilistic and Robust Engineering Design (100 papers), Structural Health Monitoring Techniques (69 papers) and Advanced Multi-Objective Optimization Algorithms (20 papers). David Moens collaborates with scholars based in Belgium, Germany and United States. David Moens's co-authors include Dirk Vandepitte, Matthias G.R. Faes, Paul Sas, René Boonen, Brecht Van Hooreweder, Michael Hanss, Wim Desmet, Jean‐Pierre Kruth, Michael Beer and Eleonora Ferraris and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

David Moens

161 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Moens Belgium 29 1.8k 1.4k 868 602 475 174 3.2k
Seung-Kyum Choi United States 25 775 0.4× 781 0.5× 1.2k 1.3× 535 0.9× 423 0.9× 98 2.8k
Matthias G.R. Faes Germany 24 1.2k 0.7× 782 0.5× 322 0.4× 332 0.6× 358 0.8× 131 1.9k
Jinglai Wu China 25 851 0.5× 856 0.6× 611 0.7× 888 1.5× 424 0.9× 99 2.4k
R. J. Yang United States 25 1.2k 0.7× 1.5k 1.1× 698 0.8× 210 0.3× 1.4k 2.9× 81 3.3k
Gyung-Jin Park South Korea 24 759 0.4× 1.1k 0.8× 721 0.8× 169 0.3× 779 1.6× 144 2.4k
Cheng‐Wei Fei China 34 1.5k 0.8× 727 0.5× 1.0k 1.2× 75 0.1× 413 0.9× 145 3.1k
Gengdong Cheng China 43 839 0.5× 4.5k 3.2× 1.4k 1.6× 299 0.5× 1.9k 4.1× 167 6.7k
Abdelkhalak El Hami France 25 733 0.4× 570 0.4× 685 0.8× 73 0.1× 409 0.9× 197 1.9k
Mattias Schevenels Belgium 27 407 0.2× 2.9k 2.0× 950 1.1× 123 0.2× 1.0k 2.1× 82 3.4k
Mohamed Haddar Tunisia 29 302 0.2× 651 0.5× 2.1k 2.5× 279 0.5× 116 0.2× 231 3.3k

Countries citing papers authored by David Moens

Since Specialization
Citations

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

Fields of papers citing papers by David Moens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Moens

This figure shows the co-authorship network connecting the top 25 collaborators of David Moens. A scholar is included among the top collaborators of David Moens 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 David Moens. David Moens 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.
Cuzzolin, Fabio, et al.. (2025). CreINNs: Credal-Set Interval Neural Networks for Uncertainty Estimation in Classification Tasks. Neural Networks. 185. 107198–107198. 3 indexed citations
2.
Bi, Sifeng, et al.. (2024). A sub-convex similarity-based model updating method considering multivariate uncertainties. Engineering Structures. 318. 118752–118752. 4 indexed citations
3.
Yang, Lechang, et al.. (2024). Reliability evaluation of a multi-state system with dependent components and imprecise parameters: A structural reliability treatment. Reliability Engineering & System Safety. 250. 110240–110240. 31 indexed citations
4.
Pierron, Fabrice, et al.. (2024). Metrics to evaluate constitutive model fitness based on DIC experiments. Strain. 60(5). 4 indexed citations
5.
Vandepitte, Dirk, et al.. (2024). Vine copulas for accelerated prediction of composite strength variability. Computers & Structures. 301. 107440–107440. 3 indexed citations
6.
Faes, Matthias G.R., et al.. (2023). Efficient quantification of composite spatial variability: A multiscale framework that captures intercorrelation. Composite Structures. 323. 117462–117462. 10 indexed citations
7.
Faes, Matthias G.R., Matteo Broggi, Edoardo Patelli, et al.. (2019). Inverse quantification of epistemic uncertainty under scarce data: Bayesian or Interval approach?. elib (German Aerospace Center). 3 indexed citations
8.
Vanaerschot, Andy, Stepan Vladimirovitch Lomov, Dirk Vandepitte, & David Moens. (2015). Identification and quantification of variability in woven composite materials based on carbon fibre weaves. Lirias (KU Leuven). 1 indexed citations
9.
Desmet, Wim, et al.. (2014). Interval fields: Capturing spatial uncertainty within a non-probabilistic framework. Lirias (KU Leuven). 4 indexed citations
10.
Jacobs, William, René Boonen, Paul Sas, & David Moens. (2012). Measuring the rigid body behaviour of a deep groove ball bearing setup. Lirias (KU Leuven). 3 indexed citations
11.
Desmet, Wim, et al.. (2011). Vibro-Acoustic analysis of structures with geometric shape uncertainty. Lirias (KU Leuven). 1 indexed citations
12.
Hooreweder, Brecht Van, David Moens, René Boonen, & Paul Sas. (2010). On the development of three instructive test rigs for efficiency determination of gearboxes and fault diagnosis of joints, roller bearings and gears. Lirias (KU Leuven). 1 indexed citations
13.
Hooreweder, Brecht Van, et al.. (2010). On the determination of fatigue properties of selective laser sintered components in polyamide: a stress based approach. Lirias (KU Leuven). 1 indexed citations
14.
Hooreweder, Brecht Van, et al.. (2009). Experimental investigation of scaling laws for mechanical fatigue behaviour. Lirias (KU Leuven). 3 indexed citations
15.
Moens, David, et al.. (2006). Development of a numerical modelling methodology for the NVH behaviour of elastomeric line connections. Lirias (KU Leuven). 5 indexed citations
16.
Moens, David, et al.. (2005). An overview of novel non-probabilistic approaches for non-deterministic dynamic analysis. Lirias (KU Leuven). 1 indexed citations
17.
Moens, David, et al.. (2005). Application of the fuzzy finite element method to the dynamic modelling of car door weather seals. Lirias (KU Leuven). 1 indexed citations
18.
Moens, David, et al.. (2005). Interval finite element analysis of large structures with uncertain parameters. Lirias (KU Leuven).
19.
Moens, David, et al.. (2005). The interval finite element method for static structural analysis. Lirias (KU Leuven). 1 indexed citations
20.
Moens, David, et al.. (2004). Interval and fuzzy element analysis of mechanical structures with uncertain parameters. Lirias (KU Leuven). 7 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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