Mathematical Modelling of Natural Phenomena

952 papers and 10.7k indexed citations i.

About

The 952 papers published in Mathematical Modelling of Natural Phenomena in the last decades have received a total of 10.7k indexed citations. Papers published in Mathematical Modelling of Natural Phenomena usually cover Modeling and Simulation (265 papers), Public Health, Environmental and Occupational Health (234 papers) and Genetics (134 papers) specifically the topics of Mathematical and Theoretical Epidemiology and Ecology Models (227 papers), Evolution and Genetic Dynamics (123 papers) and Mathematical Biology Tumor Growth (120 papers). The most active scholars publishing in Mathematical Modelling of Natural Phenomena are Vitaly Volpert, Abdon Atangana, Kolade M. Owolabi, Shigui Ruan, Mehmet Yavuz, Stéphane Génieys, Moisés Santillán, Dumitru Băleanu, Alexander N. Gorban and Jordan Hristov.

In The Last Decade

Fields of papers published in Mathematical Modelling of Natural Phenomena

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Mathematical Modelling of Natural Phenomena. 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 Mathematical Modelling of Natural Phenomena.

Countries where authors publish in Mathematical Modelling of Natural Phenomena

Since Specialization
Citations

This map shows the geographic impact of research published in Mathematical Modelling of Natural Phenomena. 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 Mathematical Modelling of Natural Phenomena with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathematical Modelling of Natural Phenomena 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