Optimization Letters

1.8k papers and 17.8k indexed citations

About

The 1.8k papers published in Optimization Letters in the last decades have received a total of 17.8k indexed citations. Papers published in Optimization Letters usually cover Computational Theory and Mathematics (907 papers), Numerical Analysis (654 papers) and Industrial and Manufacturing Engineering (403 papers) specifically the topics of Advanced Optimization Algorithms Research (635 papers), Optimization and Variational Analysis (541 papers) and Vehicle Routing Optimization Methods (189 papers). The most active scholars publishing in Optimization Letters are O. L. Mangasarian, Jǐŕı Rohn, Bruce Golden, Xingyin Wang, Stefan Poikonen, Milan Hladík, Gonglin Yuan, André R. S. Amaral, Fani Boukouvala and Muhammad Aslam Noor.

In The Last Decade

Optimization Letters

1.7k papers receiving 17.0k citations

Fields of papers published in Optimization Letters

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Optimization Letters. 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 Optimization Letters.

Countries where authors publish in Optimization Letters

Since Specialization
Citations

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