Journal of Combinatorial Designs

1.1k papers and 8.0k indexed citations i.

About

The 1.1k papers published in Journal of Combinatorial Designs in the last decades have received a total of 8.0k indexed citations. Papers published in Journal of Combinatorial Designs usually cover Electrical and Electronic Engineering (979 papers), Artificial Intelligence (604 papers) and Discrete Mathematics and Combinatorics (525 papers) specifically the topics of graph theory and CDMA systems (973 papers), Coding theory and cryptography (582 papers) and Finite Group Theory Research (419 papers). The most active scholars publishing in Journal of Combinatorial Designs are Marco Buratti, Mateja Šajna, Lijun Ji, Rolf S. Rees, Yanxun Chang, Hadi Kharaghani, R. Julian R. Abel, Darryn Bryant, Lei Zhu and N. J. A. Sloane.

In The Last Decade

Fields of papers published in Journal of Combinatorial Designs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Journal of Combinatorial Designs. 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 Combinatorial Designs.

Countries where authors publish in Journal of Combinatorial Designs

Since Specialization
Citations

This map shows the geographic impact of research published in Journal of Combinatorial Designs. 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 Combinatorial Designs 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 Combinatorial Designs 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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