Potential Analysis

1.5k papers and 15.1k indexed citations i.

About

The 1.5k papers published in Potential Analysis in the last decades have received a total of 15.1k indexed citations. Papers published in Potential Analysis usually cover Applied Mathematics (1.0k papers), Mathematical Physics (765 papers) and Computational Theory and Mathematics (503 papers) specifically the topics of Nonlinear Partial Differential Equations (476 papers), Advanced Mathematical Modeling in Engineering (461 papers) and Advanced Harmonic Analysis Research (296 papers). The most active scholars publishing in Potential Analysis are István Gyöngy, Piotr Hajłasz, Laurent Decreusefond, Ali Süleyman Üstünel, Zdzisław Brzeźniak, Tusheng Zhang, Michał Ryznar, Erika Hausenblas, Mahamadi Warma and Masatoshi Fukushima.

In The Last Decade

Fields of papers published in Potential Analysis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Potential 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 Potential Analysis.

Countries where authors publish in Potential Analysis

Since Specialization
Citations

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