Nonlinear Analysis Hybrid Systems

1.3k papers and 23.0k indexed citations i.

About

The 1.3k papers published in Nonlinear Analysis Hybrid Systems in the last decades have received a total of 23.0k indexed citations. Papers published in Nonlinear Analysis Hybrid Systems usually cover Control and Systems Engineering (773 papers), Computer Networks and Communications (435 papers) and Computational Theory and Mathematics (232 papers) specifically the topics of Stability and Control of Uncertain Systems (508 papers), Neural Networks Stability and Synchronization (340 papers) and Adaptive Control of Nonlinear Systems (213 papers). The most active scholars publishing in Nonlinear Analysis Hybrid Systems are Ju H. Park, Corentin Briat, Xinzhi Liu, Bashir Ahmad, Poom Kumam, Zhengrong Xiang, K. Balachandran, P. Balasubramaniam, S. Sivasundaram and Jun Zhao.

In The Last Decade

Fields of papers published in Nonlinear Analysis Hybrid Systems

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries where authors publish in Nonlinear Analysis Hybrid Systems

Since Specialization
Citations

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