Mathematical and Computer Modelling

5.9k papers and 110.6k indexed citations
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About

The 5.9k papers published in Mathematical and Computer Modelling in the last decades have received a total of 110.6k indexed citations. Papers published in Mathematical and Computer Modelling usually cover Computational Theory and Mathematics (869 papers), Control and Systems Engineering (790 papers) and Applied Mathematics (734 papers) specifically the topics of Mathematical and Theoretical Epidemiology and Ecology Models (401 papers), Nonlinear Differential Equations Analysis (359 papers) and Differential Equations and Numerical Methods (309 papers). The most active scholars publishing in Mathematical and Computer Modelling are Lester Ingber, Abdul–Majid Wazwaz, Thomas L. Saaty, David L. Olson, G. Adomian, Mehdi Dehghan, Y. Cherruault, Hsu-Shih Shih, J.R. Artalejo and Jun Ye.

In The Last Decade

Mathematical and Computer Modelling

5.6k papers receiving 100.8k citations

Fields of papers published in Mathematical and Computer Modelling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Mathematical and Computer Modelling. 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 and Computer Modelling.

Countries where authors publish in Mathematical and Computer Modelling

Since Specialization
Citations

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