Random vibration and statistical linearization

788 indexed citations

Abstract

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About

This paper, published in 1990, received 788 indexed citations. Written by J. B. Roberts and Pol D. Spanos covering the research area of Civil and Structural Engineering and Statistics, Probability and Uncertainty. It is primarily cited by scholars working on Civil and Structural Engineering (502 citations), Statistics, Probability and Uncertainty (391 citations) and Statistical and Nonlinear Physics (125 citations). Published in Medical Entomology and Zoology.

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Countries where authors are citing Random vibration and statistical linearization

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This map shows the geographic impact of Random vibration and statistical linearization. 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 Random vibration and statistical linearization with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Random vibration and statistical linearization more than expected).

Fields of papers citing Random vibration and statistical linearization

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Random vibration and statistical linearization. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Random vibration and statistical linearization.

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/w35666847.

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