Probability Concepts in Engineering Planning and Design

1.9k indexed citations
published 1975
Journal
Infoscience (Ecole Polytechnique Fédérale de Lausanne)

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Countries where authors are citing Probability Concepts in Engineering Planning and Design

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This map shows the geographic impact of Probability Concepts in Engineering Planning and Design. 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 Probability Concepts in Engineering Planning and Design with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Probability Concepts in Engineering Planning and Design more than expected).

Fields of papers citing Probability Concepts in Engineering Planning and Design

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Probability Concepts in Engineering Planning and Design. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Probability Concepts in Engineering Planning and Design.

About Probability Concepts in Engineering Planning and Design

This paper, published in 1975, received 1.9k indexed citations . Written by Alfredo H.‐S. Ang and W.H. Wilson Tang. It is primarily cited by scholars working on Civil and Structural Engineering (1.1k citations), Statistics, Probability and Uncertainty (709 citations) and Safety, Risk, Reliability and Quality (433 citations). Published in Infoscience (Ecole Polytechnique Fédérale de Lausanne).

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/w39651368.

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