Journal of Nonlinear Functional Analysis

177 papers and 451 indexed citations i.

About

The 177 papers published in Journal of Nonlinear Functional Analysis in the last decades have received a total of 451 indexed citations. Papers published in Journal of Nonlinear Functional Analysis usually cover Computational Theory and Mathematics (81 papers), Applied Mathematics (77 papers) and Numerical Analysis (69 papers) specifically the topics of Optimization and Variational Analysis (61 papers), Nonlinear Differential Equations Analysis (52 papers) and Differential Equations and Boundary Problems (41 papers). The most active scholars publishing in Journal of Nonlinear Functional Analysis are Mohamed I. Abbas, Oluwatosin Temitope Mewomo, Lê Thanh Tùng, Wasfı Shatanawi, Feng Gu, Ferdinard U. Ogbuisi, Abdelbaki Choucha, Djamel Ouchenane, Salah Boulaaras and Sotiris K. Ntouyas.

In The Last Decade

Fields of papers published in Journal of Nonlinear Functional Analysis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries where authors publish in Journal of Nonlinear Functional Analysis

Since Specialization
Citations

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