Discrete Applied Mathematics

8.8k papers and 101.7k indexed citations i.

About

The 8.8k papers published in Discrete Applied Mathematics in the last decades have received a total of 101.7k indexed citations. Papers published in Discrete Applied Mathematics usually cover Computational Theory and Mathematics (5.7k papers), Computer Networks and Communications (2.2k papers) and Geometry and Topology (1.9k papers) specifically the topics of Advanced Graph Theory Research (4.0k papers), Graph Labeling and Dimension Problems (1.7k papers) and Graph theory and applications (1.7k papers). The most active scholars publishing in Discrete Applied Mathematics are Paolo Toth, Thomas Zasĺavsky, Emile Aarts, Jan Korst, Peter L. Hammer, Silvano Martello, Patric R. J. Östergård, Fuji Zhang, Jacek Błażewicz and Derek G. Corneil.

In The Last Decade

Fields of papers published in Discrete Applied Mathematics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Discrete Applied Mathematics. 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 Applied Mathematics.

Countries where authors publish in Discrete Applied Mathematics

Since Specialization
Citations

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