Probabilistic Structural Dynamics: Advanced Theory and Applications

499 indexed citations
published 1967

Impact in

Authors
Y. K. Lin
Journal
Medical Entomology and Zoology

In The Last Decade

doi.org/w74343160 →

Countries where authors are citing Probabilistic Structural Dynamics: Advanced Theory and Applications

Specialization
Citations

This map shows the geographic impact of Probabilistic Structural Dynamics: Advanced Theory and Applications. 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 Probabilistic Structural Dynamics: Advanced Theory and Applications with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Probabilistic Structural Dynamics: Advanced Theory and Applications more than expected).

Fields of papers citing Probabilistic Structural Dynamics: Advanced Theory and Applications

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Probabilistic Structural Dynamics: Advanced Theory and Applications. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Probabilistic Structural Dynamics: Advanced Theory and Applications.

About Probabilistic Structural Dynamics: Advanced Theory and Applications

This paper, published in 1967, received 499 indexed citations . Written by Y. K. Lin. It is primarily cited by scholars working on Statistics, Probability and Uncertainty (256 citations), Civil and Structural Engineering (200 citations), Statistical and Nonlinear Physics (195 citations), Control and Systems Engineering (91 citations) and Environmental Engineering (66 citations). Published in Medical Entomology and Zoology.

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.

This paper is also available at doi.org/w74343160.

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