Modeling and Simulation

4.3M citations
221.0k papers · indexed · since 1950

Modeling and Simulation

86.6k papers receiving 1.4M citations

Countries where authors publish papers about Modeling and Simulation

Since Specialization
Citations

This map shows the geographic impact of research in Modeling and Simulation. 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 about Modeling and Simulation with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Modeling and Simulation more than expected).

Fields of papers citing papers about Modeling and Simulation

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers covering Modeling and Simulation. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers covering Modeling and Simulation.

About Modeling and Simulation

221.0k papers covering Modeling and Simulation have received a total of 4.3M indexed citations since 1950 . Papers on Modeling and Simulation are most often about the specific topic of Fractional Differential Equations Solutions, COVID-19 epidemiological studies, Mathematical Biology Tumor Growth, Mathematical and Theoretical Epidemiology and Ecology Models, Nonlinear Differential Equations Analysis, Differential Equations and Numerical Methods, COVID-19 Pandemic Impacts and Nonlinear Waves and Solitons and also cover the fields of Numerical Analysis, Applied Mathematics, Statistical and Nonlinear Physics, Health and Infectious Diseases. Papers citing work on Modeling and Simulation are usually about Numerical Analysis, Statistical and Nonlinear Physics, Applied Mathematics, Infectious Diseases and Health. Some of the most active scholars covering Modeling and Simulation are Ji‐Huan He, Dumitru Bǎleanu, Abdul–Majid Wazwaz, Abdon Atangana, Michael Winkler, Shijun Liao, Ralf Metzler, Kai Diethelm, J. Klafter and Thabet Abdeljawad.

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