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.
Dealing with uncertainty in model updating for damage assessment: A review
2014375 citationsEllen Simoen, Guido De Roeck et al.Mechanical Systems and Signal Processingprofile →
Citations per year, relative to Ellen Simoen Ellen Simoen (= 1×)
peers
Omid Sedehi
Countries citing papers authored by Ellen Simoen
Since
Specialization
Citations
This map shows the geographic impact of Ellen Simoen'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 Ellen Simoen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ellen Simoen more than expected).
This network shows the impact of papers produced by Ellen Simoen. 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 Ellen Simoen. The network helps show where Ellen Simoen may publish in the future.
Co-authorship network of co-authors of Ellen Simoen
This figure shows the co-authorship network connecting the top 25 collaborators of Ellen Simoen.
A scholar is included among the top collaborators of Ellen Simoen 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 Ellen Simoen. Ellen Simoen is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
9 of 9 papers shown
1.
Simoen, Ellen, Guido De Roeck, & Geert Lombaert. (2014). Dealing with uncertainty in model updating for damage assessment: A review. Mechanical Systems and Signal Processing. 56-57. 123–149.375 indexed citations breakdown →
Simoen, Ellen, et al.. (2012). Vibration-based damage assessment of the Boirs viaduct by using finite element model updating. 1–15.1 indexed citations
5.
Simoen, Ellen, Costas Papadimitriou, Guido De Roeck, & Geert Lombaert. (2012). Influence of the prediction error correlation model on Bayesian FE model updating results. University of Thessaly Institutional Repository (University of Thessaly). 192–199.2 indexed citations
6.
Simoen, Ellen, Costas Papadimitriou, Guido De Roeck, & Geert Lombaert. (2012). The effect of prediction error correlation on vibration-based model updating.1 indexed citations
7.
Simoen, Ellen, Babak Moaveni, Joel P. Conte, & Geert Lombaert. (2012). Probabilistic damage assessment of a seven-story RC building slice using Bayesian FE model updating.
8.
Simoen, Ellen, Guido De Roeck, & Geert Lombaert. (2011). Resolution and uncertainty analysis of Bayesian FE model updating results. 2318–2325.1 indexed citations
9.
Simoen, Ellen, Geert Lombaert, Edwin Reynders, & Guido De Roeck. (2010). Uncertainty quantification in the vibration-based damage assessment of a reinforced concrete beam. 4977–4992.3 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.