Zeitschrift für Analysis und ihre Anwendungen · 1×
×1.37k/6kAM
×1.55k/3kCTM
×1.03k/4kMP
×2.62k/837GT
×1.32k/2kNA
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Countries where authors publish in Topological Methods in Nonlinear Analysis
Since Specialization
Citations
This map shows the geographic impact of research published in Topological Methods in Nonlinear Analysis. 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 papers published in Topological Methods in Nonlinear Analysis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Topological Methods in Nonlinear Analysis more than expected).
Fields of papers published in Topological Methods in Nonlinear Analysis
This network shows the impact of papers published in Topological Methods in Nonlinear Analysis. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Topological Methods in Nonlinear Analysis.
About Topological Methods in Nonlinear Analysis
The 1.2k papers published in Topological Methods in Nonlinear Analysis in the last decades have received a total of 11.1k indexed citations . Papers published in Topological Methods in Nonlinear Analysis usually cover Applied Mathematics (762 papers), Mathematical Physics (456 papers) and Geometry and Topology (324 papers) specifically the topics of Nonlinear Partial Differential Equations (385 papers), Advanced Mathematical Modeling in Engineering (383 papers) and Nonlinear Differential Equations Analysis (339 papers). The most active scholars publishing in Topological Methods in Nonlinear Analysis are John Toland, Vieri Benci, Donato Fortunato, Ji‐Huan He, Thomas Bartsch, Henryk Żołądek, Jean Mawhin, Zhi-Qiang Wang, E. N. Dancer and Kanishka Perera.
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.