Nonlinear Potential Theory of Degenerate Elliptic Equations

312 indexed citations

Abstract

loading...

About

This paper, published in 2018, received 312 indexed citations. Written by Juha Heinonen, Tero Kilpeläinen and Олли Мартио covering the research area of Numerical Analysis, Applied Mathematics and Computational Theory and Mathematics. It is primarily cited by scholars working on Applied Mathematics (282 citations), Computational Theory and Mathematics (168 citations) and Mathematical Physics (123 citations). Published in CERN Bulletin.

In The Last Decade

doi.org/w64395167 →

Countries where authors are citing Nonlinear Potential Theory of Degenerate Elliptic Equations

Specialization
Citations

This map shows the geographic impact of Nonlinear Potential Theory of Degenerate 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 Nonlinear Potential Theory of Degenerate 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 Nonlinear Potential Theory of Degenerate Elliptic Equations more than expected).

Fields of papers citing Nonlinear Potential Theory of Degenerate Elliptic Equations

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Nonlinear Potential Theory of Degenerate 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 Nonlinear Potential Theory of Degenerate 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/w64395167.

Explore hit-papers with similar magnitude of impact

Rankless by CCL
2026