Proceedings of the Royal Society of Edinburgh Section A Mathematics · 1×
×0.718k/25kAM
×1.68k/5kNA
×2.06k/3kMS
×0.713k/17kMP
×0.815k/19kCTM
Citations per year
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Countries where authors publish in Applicable Analysis
Since Specialization
Citations
This map shows the geographic impact of research published in Applicable 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 Applicable Analysis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Applicable Analysis more than expected).
This network shows the impact of papers published in Applicable 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 Applicable Analysis.
About Applicable Analysis
The 4.5k papers published in Applicable Analysis in the last decades have received a total of 42.3k indexed citations . Papers published in Applicable Analysis usually cover Applied Mathematics (2.1k papers), Mathematical Physics (1.6k papers), Numerical Analysis (796 papers), Computational Theory and Mathematics (1.8k papers) and Modeling and Simulation (363 papers) specifically the topics of Advanced Mathematical Modeling in Engineering (1.4k papers), Stability and Controllability of Differential Equations (816 papers), Numerical methods in inverse problems (711 papers), Nonlinear Partial Differential Equations (662 papers), Nonlinear Differential Equations Analysis (645 papers), Advanced Mathematical Physics Problems (611 papers), Differential Equations and Numerical Methods (513 papers) and Differential Equations and Boundary Problems (480 papers). The most active scholars publishing in Applicable Analysis are Donal O’Regan, Masahiro Yamamoto, Mikko Salo, R. M. Brown, Vangipuram Lakshmikantham, Giovanni Alessandrini, Ravi P. Agarwal, Chaitan P. Gupta, Ludwik Byszewski and Juan J. Trujillo.
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.