Discrete Optimization

565 papers and 7.2k indexed citations

About

The 565 papers published in Discrete Optimization in the last decades have received a total of 7.2k indexed citations. Papers published in Discrete Optimization usually cover Computational Theory and Mathematics (282 papers), Industrial and Manufacturing Engineering (245 papers) and Computer Networks and Communications (182 papers) specifically the topics of Advanced Graph Theory Research (204 papers), Complexity and Algorithms in Graphs (167 papers) and Vehicle Routing Optimization Methods (133 papers). The most active scholars publishing in Discrete Optimization are Matteo Salani, Giovanni Righini, Roberto Wolfler Calvo, Frédéric Meunier, Daniel S. Chemla, Tobias Achterberg, François Margot, Daniel Bienstock, Andrea Lodi and Sheldon H. Jacobson.

In The Last Decade

Discrete Optimization

515 papers receiving 6.9k citations

Fields of papers published in Discrete Optimization

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries where authors publish in Discrete Optimization

Since Specialization
Citations

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