Mathematical Modelling of Natural Phenomena

10.1k citations
904 papers · · active since 1950

Impact in

    • Fractional Differential Equations Solutions
    • Mathematical Biology Tumor Growth
    • COVID-19 epidemiological studies
    • Differential Equations and Numerical Methods

Papers in

Mathematical Modelling of Natural Phenomena

849 papers receiving 9.7k citations

Peers

Mathematical Modelling of Natural Phenomena
Comparison fields: 5 of 194
  • Modeling and Simulation 3.9k
  • Numerical Analysis 904
  • Applied Mathematics 1.1k
  • Public Health, Environmental and Occupational Health 2.7k
  • Statistical and Nonlinear Physics 1.3k
Replace Nonlinear Analysis Modelling and Control with:
Nonlinear Analysis Modelling and Control China
International Journal of Biomathematics China
Journal of Applied Analysis & Computation China
Qualitative Theory of Dynamical Systems China
European Journal of Applied Mathematics United Kingdom
Mathematical Medicine and Biology A Journal of the IMA United Kingdom
Networks and Heterogeneous Media France
SIAM Journal on Applied Dynamical Systems United States
Nonlinear Analysis Hybrid Systems China
Statistical Science United States
Mathematical Modelling of Natural Phenomena relative to Nonlinear Analysis Modelling and Control China Nonlinear Analysis Modelling and Control's profile →
Citations per field
00.5×1.7×
Nonlinear Analysis Modelling and Control · 1×
Citations per year

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).

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.

About Mathematical Modelling of Natural Phenomena

The 904 papers published in Mathematical Modelling of Natural Phenomena in the last decades have received a total of 10.1k indexed citations . Papers published in Mathematical Modelling of Natural Phenomena usually cover Modeling and Simulation (251 papers), Numerical Analysis (53 papers), Mathematical Physics (84 papers), Statistical and Nonlinear Physics (113 papers) and Public Health, Environmental and Occupational Health (222 papers) specifically the topics of Mathematical and Theoretical Epidemiology and Ecology Models (214 papers), Mathematical Biology Tumor Growth (117 papers), Evolution and Genetic Dynamics (116 papers), Nonlinear Dynamics and Pattern Formation (74 papers), Fractional Differential Equations Solutions (74 papers), COVID-19 epidemiological studies (72 papers), Advanced Mathematical Modeling in Engineering (53 papers) and Gene Regulatory Network Analysis (52 papers). The most active scholars publishing in Mathematical Modelling of Natural Phenomena are Vitaly Volpert, Shigui Ruan, Mehmet Yavuz, Moisés Santillán, Dumitru Bǎleanu, Stéphane Génieys, Sara I. Abdelsalam, Jordan Hristov, Necati Özdemir and Devendra Kumar.

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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