Advances in Nonlinear Analysis

590 papers and 5.7k indexed citations i.

About

The 590 papers published in Advances in Nonlinear Analysis in the last decades have received a total of 5.7k indexed citations. Papers published in Advances in Nonlinear Analysis usually cover Applied Mathematics (472 papers), Computational Theory and Mathematics (301 papers) and Mathematical Physics (267 papers) specifically the topics of Nonlinear Partial Differential Equations (380 papers), Advanced Mathematical Modeling in Engineering (284 papers) and Advanced Mathematical Physics Problems (172 papers). The most active scholars publishing in Advances in Nonlinear Analysis are Binlin Zhang, Patrizia Pucci, Mingqi Xiang, Xianhua Tang, Alessio Fiscella, Runzhang Xu, Sitong Chen, Raffaella Servadei, K. Sreenadh and Vicenţiu D. Rădulescu.

In The Last Decade

Fields of papers published in Advances in Nonlinear Analysis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Advances 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 Advances in Nonlinear Analysis.

Countries where authors publish in Advances in Nonlinear Analysis

Since Specialization
Citations

This map shows the geographic impact of research published in Advances 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 Advances 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 Advances in Nonlinear 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