Modeling and Simulation

196.8k papers and 3.9M indexed citations i.

About

196.8k papers covering Modeling and Simulation have received a total of 3.9M indexed citations since 1950. Papers on subfields are most often about the specific topic of Fractional Differential Equations Solutions, COVID-19 epidemiological studies and Mathematical Biology Tumor Growth and also cover the fields of Numerical Analysis, Public Health, Environmental and Occupational Health and Applied Mathematics. Papers citing papers on subfields are usually about Public Health, Environmental and Occupational Health, Statistical and Nonlinear Physics and Numerical Analysis. Some of the most active scholars covering Modeling and Simulation are Ji‐Huan He, Igor Podlubný, Dumitru Băleanu, Abdul–Majid Wazwaz, Abdon Atangana, Michael Winkler, Shijun Liao, Ralf Metzler, R. Hilfer and J. Klafter.

In The Last Decade

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.

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).

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.

Explore fields with similar magnitude of impact

Rankless by CCL
2025