Journal of Discrete Algorithms

622 papers and 5.3k indexed citations i.

About

The 622 papers published in Journal of Discrete Algorithms in the last decades have received a total of 5.3k indexed citations. Papers published in Journal of Discrete Algorithms usually cover Computational Theory and Mathematics (319 papers), Artificial Intelligence (270 papers) and Computer Networks and Communications (164 papers) specifically the topics of Algorithms and Data Compression (234 papers), Advanced Graph Theory Research (162 papers) and Combinatorial Optimization and Complexity Theory (127 papers). The most active scholars publishing in Journal of Discrete Algorithms are Gonzalo Navarro, Enno Ohlebusch, Mohamed Abouelhoda, Stefan Kurtz, David F. Manlove, Kunihiko Sadakane, Rolf Niedermeier, Fabrizio Grandoni, Kunsoo Park and Bharati Rajan.

In The Last Decade

Fields of papers published in Journal of Discrete Algorithms

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Journal of Discrete Algorithms. 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 Journal of Discrete Algorithms.

Countries where authors publish in Journal of Discrete Algorithms

Since Specialization
Citations

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