Journal of Mathematical Modelling and Algorithms

243 papers and 3.6k indexed citations i.

About

The 243 papers published in Journal of Mathematical Modelling and Algorithms in the last decades have received a total of 3.6k indexed citations. Papers published in Journal of Mathematical Modelling and Algorithms usually cover Industrial and Manufacturing Engineering (89 papers), Artificial Intelligence (55 papers) and Computational Theory and Mathematics (46 papers) specifically the topics of Vehicle Routing Optimization Methods (42 papers), Optimization and Packing Problems (33 papers) and Scheduling and Optimization Algorithms (33 papers). The most active scholars publishing in Journal of Mathematical Modelling and Algorithms are V. J. Rayward‐Smith, Graeme Richards, Alan Reynolds, Beatriz de la Iglesia, Mikkel T. Jensen, Christian Blum, Michaël Sampels, Saı̈d Salhi, Christian Prins and Xin Yao.

In The Last Decade

Fields of papers published in Journal of Mathematical Modelling and Algorithms

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries where authors publish in Journal of Mathematical Modelling and Algorithms

Since Specialization
Citations

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