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.
This map shows the geographic impact of Ward Heylen'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 Ward Heylen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ward Heylen more than expected).
This network shows the impact of papers produced by Ward Heylen. 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 Ward Heylen. The network helps show where Ward Heylen may publish in the future.
Co-authorship network of co-authors of Ward Heylen
This figure shows the co-authorship network connecting the top 25 collaborators of Ward Heylen.
A scholar is included among the top collaborators of Ward Heylen 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 Ward Heylen. Ward Heylen is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Heylen, Ward, et al.. (2006). a comparison of experimental, operational, and combined experimental-operational parameter estimation techniques. Lirias (KU Leuven). 2997–3006.2 indexed citations
6.
Heylen, Ward, et al.. (2006). resonant-based identification of the elastic properties of ceramic coatings. Lirias (KU Leuven). 2087–2097.1 indexed citations
Pascual, Rodrigo, Irina Trendafilova, Jean‐Claude Golinval, & Ward Heylen. (1999). Damage Detection Using Model Updating and Identification Techniques. Lirias (KU Leuven).5 indexed citations
12.
Trendafilova, Irina, Ward Heylen, & Paul Sas. (1999). Two statistical pattern recognition methods for damage localization. 3727. 1380–1386.1 indexed citations
13.
Heylen, Ward & Peter Avitabile. (1998). Correlation considerations - Part 5. 207–214.4 indexed citations
14.
Trendafilova, Irina & Ward Heylen. (1998). Fault localization in structures from remote FRF measurements. Influence of the measurement points. 149–156.8 indexed citations
15.
Trendafilova, Irina, Ward Heylen, & Paul Sas. (1998). Damage localization in structures. A pattern recognition perspective. 99–106.5 indexed citations
16.
Vandepitte, Dirk, et al.. (1996). Influence of excitation systems on the dynamic behaviour of test structures. 881–891.1 indexed citations
17.
Heylen, Ward, et al.. (1995). Influence of the number of frequency points and resonance frequencies on model updating techniques for health condition monitoring and damage detection of flexible structures. 2460. 1273–1281.11 indexed citations
18.
Heylen, Ward, et al.. (1994). Model updating and failure detection based on experimental FRF's: case study on a space frame structure. 669–681.6 indexed citations
19.
Heylen, Ward, et al.. (1989). On instrumentation for experimental modal analysis.1 indexed citations
20.
Heylen, Ward. (1981). Optimization of model matrices by means of experimentally obtained dynamic data. 32–38.4 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.