Linear and quasilinear elliptic equations

1.8k indexed citations

Abstract

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About

This paper, published in 1968, received 1.8k indexed citations. Written by O. A. Ladyzhenskai︠a︡ and N. N. Uraltseva covering the research area of Numerical Analysis, Applied Mathematics and Computational Theory and Mathematics. It is primarily cited by scholars working on Applied Mathematics (1.3k citations), Computational Theory and Mathematics (1.3k citations) and Mathematical Physics (573 citations). Published in Academic Press eBooks.

In The Last Decade

doi.org/w4681719 →

Countries where authors are citing Linear and quasilinear elliptic equations

Specialization
Citations

This map shows the geographic impact of Linear and quasilinear elliptic equations. 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 Linear and quasilinear elliptic equations with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linear and quasilinear elliptic equations more than expected).

Fields of papers citing Linear and quasilinear elliptic equations

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Linear and quasilinear elliptic equations. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Linear and quasilinear elliptic equations.

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/w4681719.

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