Journal of Nonlinear and Variational Analysis

171 papers and 456 indexed citations i.

About

The 171 papers published in Journal of Nonlinear and Variational Analysis in the last decades have received a total of 456 indexed citations. Papers published in Journal of Nonlinear and Variational Analysis usually cover Computational Theory and Mathematics (108 papers), Numerical Analysis (50 papers) and Applied Mathematics (47 papers) specifically the topics of Optimization and Variational Analysis (83 papers), Advanced Optimization Algorithms Research (33 papers) and Contact Mechanics and Variational Inequalities (27 papers). The most active scholars publishing in Journal of Nonlinear and Variational Analysis are Aviv Gibali, Ching‐Feng Wen, Jen‐Chih Yao, H. M. Srivastava, C.E. Chidume, Lu-Chuan Ceng, G. Murugusundaramoorthy, Alexander J. Zaslavski, Xiaolong Qin and Sheza M. El-Deeb.

In The Last Decade

Fields of papers published in Journal of Nonlinear and Variational Analysis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries where authors publish in Journal of Nonlinear and Variational Analysis

Since Specialization
Citations

This map shows the geographic impact of research published in Journal of Nonlinear and Variational 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 and Variational 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 and Variational 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