Symmetry and related properties via the maximum principle

1.9k indexed citations

Abstract

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This paper, published in 1979, received 1.9k indexed citations. Written by Basilis Gidas, Wei‐Ming Ni and Louis Nirenberg covering the research area of Applied Mathematics and Computational Theory and Mathematics. It is primarily cited by scholars working on Applied Mathematics (1.7k citations), Computational Theory and Mathematics (1.3k citations) and Mathematical Physics (631 citations). Published in Communications in Mathematical Physics.

Countries where authors are citing Symmetry and related properties via the maximum principle

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This map shows the geographic impact of Symmetry and related properties via the maximum principle. 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 Symmetry and related properties via the maximum principle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Symmetry and related properties via the maximum principle more than expected).

Fields of papers citing Symmetry and related properties via the maximum principle

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Symmetry and related properties via the maximum principle. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Symmetry and related properties via the maximum principle.

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/10.1007/bf01221125.

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