Quasilinear Dirichlet problems driven by positive sources
- Authors
- D. D. JosephT. S. Lundgren
In The Last Decade
doi.org/10.1007/bf00250508 →Countries where authors are citing Quasilinear Dirichlet problems driven by positive sources
This map shows the geographic impact of Quasilinear Dirichlet problems driven by positive sources. 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 Quasilinear Dirichlet problems driven by positive sources with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Quasilinear Dirichlet problems driven by positive sources more than expected).
Fields of papers citing Quasilinear Dirichlet problems driven by positive sources
This network shows the impact of Quasilinear Dirichlet problems driven by positive sources. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Quasilinear Dirichlet problems driven by positive sources.
About Quasilinear Dirichlet problems driven by positive sources
This paper, published in 1973, received 536 indexed citations . Written by D. D. Joseph and T. S. Lundgren covering the research area of Mathematical Physics, Computational Theory and Mathematics and Applied Mathematics. It is primarily cited by scholars working on Applied Mathematics (446 citations), Computational Theory and Mathematics (326 citations) and Mathematical Physics (161 citations). Published in Archive for Rational Mechanics and Analysis.
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/bf00250508.