Maarten Arnst

1.2k total citations
43 papers, 869 citations indexed

About

Maarten Arnst is a scholar working on Statistics, Probability and Uncertainty, Civil and Structural Engineering and Mechanical Engineering. According to data from OpenAlex, Maarten Arnst has authored 43 papers receiving a total of 869 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Statistics, Probability and Uncertainty, 17 papers in Civil and Structural Engineering and 11 papers in Mechanical Engineering. Recurrent topics in Maarten Arnst's work include Probabilistic and Robust Engineering Design (19 papers), Structural Health Monitoring Techniques (7 papers) and Railway Engineering and Dynamics (6 papers). Maarten Arnst is often cited by papers focused on Probabilistic and Robust Engineering Design (19 papers), Structural Health Monitoring Techniques (7 papers) and Railway Engineering and Dynamics (6 papers). Maarten Arnst collaborates with scholars based in Belgium, France and United States. Maarten Arnst's co-authors include Geert Degrande, Roger Ghanem, H. Chebli, Ramzi Othman, Christian Soize, Tahmeed M. Al‐Hussaini, Prasenjit Chatterjee, R. Klein, Frank Pattyn and Jean‐Philippe Ponthot and has published in prestigious journals such as Journal of Fluid Mechanics, Water Resources Research and Journal of Computational Physics.

In The Last Decade

Maarten Arnst

42 papers receiving 836 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maarten Arnst Belgium 15 492 418 268 252 88 43 869
Didier Clouteau France 16 495 1.0× 128 0.3× 23 0.1× 85 0.3× 80 0.9× 37 715
Régis Cottereau France 15 221 0.4× 99 0.2× 22 0.1× 86 0.3× 147 1.7× 51 508
D. S. Griffin United States 7 952 1.9× 302 0.7× 11 0.0× 165 0.7× 355 4.0× 17 1.6k
Boris Jeremić United States 22 1.3k 2.7× 87 0.2× 6 0.0× 95 0.4× 198 2.3× 81 1.7k
Bojan B. Guzina United States 23 719 1.5× 160 0.4× 15 0.1× 16 0.1× 909 10.3× 96 1.7k
Roger L. Kuhlemeyer Canada 7 2.7k 5.5× 430 1.0× 124 0.5× 19 0.1× 645 7.3× 12 3.2k
Fan Kong China 18 662 1.3× 71 0.2× 2 0.0× 497 2.0× 106 1.2× 54 913
Loren D. Lutes United States 19 1.2k 2.3× 240 0.6× 2 0.0× 811 3.2× 343 3.9× 69 1.6k
Yan Yong United States 12 266 0.5× 65 0.2× 3 0.0× 110 0.4× 70 0.8× 45 524
Yu-Kweng Michael Lin 2 632 1.3× 108 0.3× 2 0.0× 504 2.0× 150 1.7× 2 971

Countries citing papers authored by Maarten Arnst

Since Specialization
Citations

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

Fields of papers citing papers by Maarten Arnst

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maarten Arnst

This figure shows the co-authorship network connecting the top 25 collaborators of Maarten Arnst. A scholar is included among the top collaborators of Maarten Arnst 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 Maarten Arnst. Maarten Arnst 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.
Arnst, Maarten, Kamal El Kadi Abderrezzak, Michel Pirotton, et al.. (2023). Global Sensitivity Analysis of a Dam Breaching Model: To Which Extent Is Parameter Sensitivity Case‐Dependent?. Water Resources Research. 59(6). 4 indexed citations
2.
Pattyn, Frank, et al.. (2023). Grounding-line flux conditions for marine ice-sheet systems under effective-pressure- dependent and hybrid friction laws. Journal of Fluid Mechanics. 975. 1 indexed citations
3.
Rivière, Nicolas, Sébastien Erpicum, Michel Pirotton, et al.. (2023). Drift of a Drowning Victim in Rivers: Conceptualization and Global Sensitivity Analysis Under Idealized Flow Conditions. Water Resources Research. 59(10). 2 indexed citations
4.
5.
Denoël, Vincent, Olivier Bruyère, Gilles Louppe, et al.. (2022). Decision-based interactive model to determine re-opening conditions of a large university campus in Belgium during the first COVID-19 wave. Archives of Public Health. 80(1). 71–71. 4 indexed citations
6.
Chatelain, Philippe, et al.. (2021). Analytical solution for multi-component pyrolysis simulations of thermal protection materials. Journal of Materials Science. 56(11). 6845–6860. 2 indexed citations
7.
Arnst, Maarten, et al.. (2020). COMPUTATION OF SOBOL INDICES IN GLOBAL SENSITIVITY ANALYSIS FROM SMALL DATA SETS BY PROBABILISTIC LEARNING ON MANIFOLDS. International Journal for Uncertainty Quantification. 11(2). 1–23. 16 indexed citations
8.
Arnst, Maarten, et al.. (2019). Uncertainty quantification of the multi-centennial response of the Antarctic ice sheet to climate change. ˜The œcryosphere. 13(4). 1349–1380. 64 indexed citations
9.
Arnst, Maarten & Christian Soize. (2019). Identification and sampling of Bayesian posteriors of high-dimensional symmetric positive-definite matrices for data-driven updating of computational models. Computer Methods in Applied Mechanics and Engineering. 352. 300–323. 7 indexed citations
10.
Arnst, Maarten, Jean‐Philippe Ponthot, & Romain Boman. (2018). Comparison of stochastic and interval methods for uncertainty quantification of metal forming processes. Comptes Rendus Mécanique. 346(8). 634–646. 10 indexed citations
11.
Wu, Ling, et al.. (2018). Stochastic Multiscale Model of MEMS Stiction Accounting for High-Order Statistical Moments of Non-Gaussian Contacting Surfaces. Journal of Microelectromechanical Systems. 27(2). 137–155. 6 indexed citations
12.
13.
Arnst, Maarten, et al.. (2015). Experimental Modal Identification of Mistuning in an Academic Blisk and Comparison With the Blades Geometry Variations. Open Repository and Bibliography (University of Liège). 4 indexed citations
14.
Wu, Ling, et al.. (2014). Prediction of macroscopic mechanical properties of a polycrystalline microbeam subjected to material uncertainties. Open Repository and Bibliography (University of Liège). 1 indexed citations
15.
Arnst, Maarten, et al.. (2014). Probabilistic Assessment of the Lifetime of Low-Earth-Orbit Spacecraft: Uncertainty Characterization. Journal of Guidance Control and Dynamics. 38(5). 900–912. 15 indexed citations
16.
Arnst, Maarten, Roger Ghanem, Eric Phipps, & John Red-Horse. (2011). Measure transformation and efficient quadrature in reduced-dimensional stochastic analysis of coupled systems. arXiv (Cornell University). 1 indexed citations
17.
Arnst, Maarten, Roger Ghanem, & Christian Soize. (2010). Identification of Bayesian posteriors for coefficients of chaos expansions. Journal of Computational Physics. 229(9). 3134–3154. 69 indexed citations
18.
Arnst, Maarten, Didier Clouteau, & Marc Bonnet. (2007). Inversion of probabilistic structural models using measured transfer functions. Computer Methods in Applied Mechanics and Engineering. 197(6-8). 589–608. 18 indexed citations
19.
Chebli, H., Ramzi Othman, Didier Clouteau, Maarten Arnst, & Geert Degrande. (2007). 3D periodic BE–FE model for various transportation structures interacting with soil. Computers and Geotechnics. 35(1). 22–32. 53 indexed citations
20.
Degrande, Geert, Prasenjit Chatterjee, Didier Clouteau, et al.. (2003). A numerical prediction model for ground-borne vibrations from underground railway traffic using a coupled periodic FEM-BEM approach. 3 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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