Analysis & PDE

801 papers and 9.7k indexed citations i.

About

The 801 papers published in Analysis & PDE in the last decades have received a total of 9.7k indexed citations. Papers published in Analysis & PDE usually cover Mathematical Physics (531 papers), Applied Mathematics (530 papers) and Computational Theory and Mathematics (189 papers) specifically the topics of Advanced Mathematical Physics Problems (267 papers), Nonlinear Partial Differential Equations (194 papers) and Advanced Mathematical Modeling in Engineering (179 papers). The most active scholars publishing in Analysis & PDE are Terence Tao, Enno Lenzmann, Ian Tice, Tuomas Hytönen, Carlos Pérez, Yan Guo, Zhongwei Shen, András Vasy, Tom Sanders and Günther Uhlmann.

In The Last Decade

Fields of papers published in Analysis & PDE

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Analysis & PDE. 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 Analysis & PDE.

Countries where authors publish in Analysis & PDE

Since Specialization
Citations

This map shows the geographic impact of research published in Analysis & PDE. 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 Analysis & PDE with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Analysis & PDE more than expected).

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.

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