Applied Mathematics and Nonlinear Sciences

2.9k papers and 7.1k indexed citations

About

The 2.9k papers published in Applied Mathematics and Nonlinear Sciences in the last decades have received a total of 7.1k indexed citations. Papers published in Applied Mathematics and Nonlinear Sciences usually cover Artificial Intelligence (726 papers), Education (450 papers) and Information Systems (425 papers) specifically the topics of Educational Technology and Pedagogy (318 papers), Ideological and Political Education (253 papers) and Digital Media and Visual Art (234 papers). The most active scholars publishing in Applied Mathematics and Nonlinear Sciences are Tukur Abdulkadir Sulaıman, Hasan Bulut, Hacı Mehmet Başkonuş, İ. Onur Kıymaz, Esin İlhan, K. Vajravelu, Asıf Yokuş, Sunilkumar M. Hosamani, Mohammad Reza Farahani and Pramod Pandey.

In The Last Decade

Applied Mathematics and Nonlinear Sciences

1.4k papers receiving 6.8k citations

Fields of papers published in Applied Mathematics and Nonlinear Sciences

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Applied Mathematics and Nonlinear Sciences. 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 Applied Mathematics and Nonlinear Sciences.

Countries where authors publish in Applied Mathematics and Nonlinear Sciences

Since Specialization
Citations

This map shows the geographic impact of research published in Applied Mathematics and Nonlinear Sciences. 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 Applied Mathematics and Nonlinear Sciences with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Applied Mathematics and Nonlinear Sciences 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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2026