Nonlinear Analysis Modelling and Control

About

The 929 papers published in Nonlinear Analysis Modelling and Control in the last decades have received a total of 10.0k indexed citations. Papers published in Nonlinear Analysis Modelling and Control usually cover Applied Mathematics (216 papers), Modeling and Simulation (195 papers) and Statistical and Nonlinear Physics (148 papers) specifically the topics of Fractional Differential Equations Solutions (145 papers), Nonlinear Differential Equations Analysis (135 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (122 papers). The most active scholars publishing in Nonlinear Analysis Modelling and Control are Abdelilah Kaddar, A. K. Misra, Ali J. Chamkha, Jinde Cao, M. M. Rahman, Balram Dubey, Mohammad Mirzazadeh, M. S. Alam, Ranjit Kumar Upadhyay and Lishan Liu.

In The Last Decade

Nonlinear Analysis Modelling and Control

845 papers receiving 9.4k citations

Countries where authors publish in Nonlinear Analysis Modelling and Control

Since Specialization
Citations

This map shows the geographic impact of research published in Nonlinear Analysis Modelling and Control. 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 Modelling and Control 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 Modelling and Control more than expected).

Fields of papers published in Nonlinear Analysis Modelling and Control

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Nonlinear Analysis Modelling and Control. 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 Modelling and Control.

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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2026