Communications on Pure &amp Applied Analysis

2.3k papers and 17.5k indexed citations i.

About

The 2.3k papers published in Communications on Pure & Applied Analysis in the last decades have received a total of 17.5k indexed citations. Papers published in Communications on Pure & Applied Analysis usually cover Applied Mathematics (1.4k papers), Mathematical Physics (1.0k papers) and Computational Theory and Mathematics (871 papers) specifically the topics of Advanced Mathematical Modeling in Engineering (807 papers), Nonlinear Partial Differential Equations (800 papers) and Advanced Mathematical Physics Problems (652 papers). The most active scholars publishing in Communications on Pure & Applied Analysis are Sergey Zelik, Vittorino Pata, Laurence Cherfils, Yavdat Il’yasov, Nikolaos S. Papageorgiou, Kenneth H. Karlsen, Shou‐Fu Tian, Enrico Valdinoci, Raffaella Servadei and Congming Li.

In The Last Decade

Fields of papers published in Communications on Pure &amp Applied Analysis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Communications on Pure &amp Applied 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 Communications on Pure &amp Applied Analysis.

Countries where authors publish in Communications on Pure &amp Applied Analysis

Since Specialization
Citations

This map shows the geographic impact of research published in Communications on Pure &amp Applied 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 Communications on Pure &amp Applied Analysis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Communications on Pure &amp Applied Analysis 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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2025