Nonlinear Analysis Real World Applications

3.6k papers and 64.2k indexed citations i.

About

The 3.6k papers published in Nonlinear Analysis Real World Applications in the last decades have received a total of 64.2k indexed citations. Papers published in Nonlinear Analysis Real World Applications usually cover Applied Mathematics (1.1k papers), Public Health, Environmental and Occupational Health (1.0k papers) and Modeling and Simulation (801 papers) specifically the topics of Mathematical and Theoretical Epidemiology and Ecology Models (1.0k papers), Advanced Mathematical Modeling in Engineering (557 papers) and Evolution and Genetic Dynamics (492 papers). The most active scholars publishing in Nonlinear Analysis Real World Applications are Jinde Cao, Tasawar Hayat, Yong Zhou, Fengde Chen, C. Connell McCluskey, Juan J. Nieto, Bingwen Liu, Lansun Chen, JinRong Wang and Zhidong Teng.

In The Last Decade

Fields of papers published in Nonlinear Analysis Real World Applications

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Nonlinear Analysis Real World Applications. 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 Real World Applications.

Countries where authors publish in Nonlinear Analysis Real World Applications

Since Specialization
Citations

This map shows the geographic impact of research published in Nonlinear Analysis Real World Applications. 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 Real World Applications 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 Real World Applications 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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