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.
Prediction of concrete and FRC properties at high temperature using machine and deep learning: A review of recent advances and future perspectives
2023124 citationsNizar Faisal Alkayem, Lei Shen et al.Journal of Building Engineeringprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Alfred Strauß'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 Alfred Strauß with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alfred Strauß more than expected).
This network shows the impact of papers produced by Alfred Strauß. 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 Alfred Strauß. The network helps show where Alfred Strauß may publish in the future.
Co-authorship network of co-authors of Alfred Strauß
This figure shows the co-authorship network connecting the top 25 collaborators of Alfred Strauß.
A scholar is included among the top collaborators of Alfred Strauß 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 Alfred Strauß. Alfred Strauß is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Alkayem, Nizar Faisal, Lei Shen, Panagiotis G. Asteris, et al.. (2023). Prediction of concrete and FRC properties at high temperature using machine and deep learning: A review of recent advances and future perspectives. Journal of Building Engineering. 83. 108369–108369.124 indexed citations breakdown →
Wan‐Wendner, Roman, et al.. (2010). Sensor based assessment of soil-structure-interaction. Ghent University Academic Bibliography (Ghent University).2 indexed citations
Wan‐Wendner, Roman, Sebastian Hoffmann, Alfred Strauß, & Konrad Bergmeister. (2008). AIFIT : user orientated identification for infrastructure, theory. Ghent University Academic Bibliography (Ghent University).
18.
Wan‐Wendner, Roman, Alfred Strauß, Simon Hoffmann, & Konrad Bergmeister. (2007). Novel identification methods for the assessment of engineering structures. Ghent University Academic Bibliography (Ghent University).2 indexed citations
19.
Strauß, Alfred, Konrad Bergmeister, Roman Wan‐Wendner, Drahomír Novák, & David Lehký. (2007). Sensitivity factor based dynamic damage identification sara - part III. Ghent University Academic Bibliography (Ghent University).1 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.