Operations Research Letters

3.6k papers and 59.6k indexed citations i.

About

The 3.6k papers published in Operations Research Letters in the last decades have received a total of 59.6k indexed citations. Papers published in Operations Research Letters usually cover Industrial and Manufacturing Engineering (983 papers), Computational Theory and Mathematics (981 papers) and Management Science and Operations Research (966 papers) specifically the topics of Optimization and Search Problems (572 papers), Advanced Queuing Theory Analysis (565 papers) and Scheduling and Optimization Algorithms (473 papers). The most active scholars publishing in Operations Research Letters are Aharon Ben‐Tal, Arkadi Nemirovski, Bo Zeng, Long Zhao, Ward Whitt, Gerhard J. Woeginger, Gilbert Laporte, Maw‐Sheng Chern, Arie Tamir and Amir Beck.

In The Last Decade

Fields of papers published in Operations Research Letters

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Operations Research 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 Operations Research Letters.

Countries where authors publish in Operations Research Letters

Since Specialization
Citations

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