INFORMS journal on computing

1.6k papers and 35.6k indexed citations i.

About

The 1.6k papers published in INFORMS journal on computing in the last decades have received a total of 35.6k indexed citations. Papers published in INFORMS journal on computing usually cover Industrial and Manufacturing Engineering (565 papers), Management Science and Operations Research (432 papers) and Computational Theory and Mathematics (353 papers) specifically the topics of Vehicle Routing Optimization Methods (324 papers), Optimization and Packing Problems (225 papers) and Scheduling and Optimization Algorithms (177 papers). The most active scholars publishing in INFORMS journal on computing are Michael C. Fu, Paolo Toth, Martin Savelsbergh, Warren B. Powell, Daniele Vigo, Ward Whitt, Sven de Vries, Rakesh Vohra, Jean‐François Cordeau and Rafael Martı́.

In The Last Decade

Fields of papers published in INFORMS journal on computing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in INFORMS journal on computing. 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 INFORMS journal on computing.

Countries where authors publish in INFORMS journal on computing

Since Specialization
Citations

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