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.
Systems Resilience for Multihazard Environments: Definition, Metrics, and Valuation for Decision Making
2013426 citationsBilal M. AyyubRisk Analysisprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Bilal M. Ayyub
Since
Specialization
Citations
This map shows the geographic impact of Bilal M. Ayyub'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 Bilal M. Ayyub with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bilal M. Ayyub more than expected).
This network shows the impact of papers produced by Bilal M. Ayyub. 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 Bilal M. Ayyub. The network helps show where Bilal M. Ayyub may publish in the future.
Co-authorship network of co-authors of Bilal M. Ayyub
This figure shows the co-authorship network connecting the top 25 collaborators of Bilal M. Ayyub.
A scholar is included among the top collaborators of Bilal M. Ayyub 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 Bilal M. Ayyub. Bilal M. Ayyub is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Ayyub, Bilal M.. (2011). Vulnerability, uncertainty, and risk : analysis, modeling, and management : proceedings of the First International Conference on Vulnerability and Risk Analysis and Management (ICVRAM 2011) and the Fifth International Symposium on Uncertainty Modeling and Analysis (ISUMA 2011) : April 11-13, 2011, Hyattsville, Maryland. American Society of Civil Engineers eBooks.1 indexed citations
12.
Gu, Jie, et al.. (2010). Application of Grey Prediction Model for Failure Prognostics of Electronics. International Journal of Performability Engineering. 6(5). 435.12 indexed citations
13.
Ayyub, Bilal M., et al.. (1996). Statistical Characteristics of Strength and Load Random Variables of Ship Structures. 106–109.15 indexed citations
14.
Wirsching, Paul H., A E Mansour, Bilal M. Ayyub, & Gregory J. White. (1996). Probability-Based Design Requirements with Respect to Fatigue in Ship Structures. 114–117.1 indexed citations
15.
Chao, Ru‐Jen & Bilal M. Ayyub. (1996). Finite Element Analysis with Fuzzy Variables. 643–650.8 indexed citations
16.
Ayyub, Bilal M., Madan M. Gupta, & Laveen N. Kanal. (1992). Analysis and management of uncertainty : theory and applications. Elsevier eBooks.36 indexed citations
17.
Ayyub, Bilal M., et al.. (1990). Safety Assessment Methodology for Construction Operations. 771–777.9 indexed citations
18.
Ayyub, Bilal M. & Ahmed Ibrahim. (1990). Reliability and Redundancy Assessment of Prestressed Truss Bridges. 2239–2242.1 indexed citations
19.
Haldar, Achintya & Bilal M. Ayyub. (1984). PRACTICAL VARIANCE REDUCTION TECHNIQUES IN SIMULATION.. 93. 63–74.3 indexed citations
20.
Haldar, Achintya & Bilal M. Ayyub. (1983). A Practical Probabilistic Model. 948–951.
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.