The finite element method in engineering science

3.1k indexed citations
published 1971
Journal
CERN Document Server (European Organization for Nuclear Research)

In The Last Decade

doi.org/w46283159 →

Countries where authors are citing The finite element method in engineering science

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Citations

This map shows the geographic impact of The finite element method in engineering science. 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 The finite element method in engineering science with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites The finite element method in engineering science more than expected).

Fields of papers citing The finite element method in engineering science

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of The finite element method in engineering science. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the The finite element method in engineering science.

About The finite element method in engineering science

This paper, published in 1971, received 3.1k indexed citations . Written by O. C. Zienkiewicz covering the research area of Civil and Structural Engineering, Mechanical Engineering and Computational Theory and Mathematics. It is primarily cited by scholars working on Mechanics of Materials (1.4k citations), Civil and Structural Engineering (910 citations), Mechanical Engineering (810 citations), Computational Mechanics (600 citations) and Control and Systems Engineering (400 citations). Published in CERN Document Server (European Organization for Nuclear Research).

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/w46283159.

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