John Sheekey

32 papers and 331 indexed citations i.

About

John Sheekey is a scholar working on Artificial Intelligence, Discrete Mathematics and Combinatorics and Electrical and Electronic Engineering. According to data from OpenAlex, John Sheekey has authored 32 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 23 papers in Discrete Mathematics and Combinatorics and 11 papers in Electrical and Electronic Engineering. Recurrent topics in John Sheekey’s work include Coding theory and cryptography (24 papers), Finite Group Theory Research (22 papers) and graph theory and CDMA systems (11 papers). John Sheekey is often cited by papers focused on Coding theory and cryptography (24 papers), Finite Group Theory Research (22 papers) and graph theory and CDMA systems (11 papers). John Sheekey collaborates with scholars based in Ireland, Italy and Belgium. John Sheekey's co-authors include Michel Lavrauw, Gary McGuire, Geertrui Van de Voorde, Rod Gow, Corrado Zanella, Jean‐Guillaume Dumas, Eimear Byrne, Scott Rickard, Ferdinando Zullo and Alberto Ravagnani and has published in prestigious journals such as IEEE Transactions on Information Theory, Linear Algebra and its Applications and Journal of the London Mathematical Society.

In The Last Decade

Co-authorship network of co-authors of John Sheekey i

Fields of papers citing papers by John Sheekey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Sheekey. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by John Sheekey. The network helps show where John Sheekey may publish in the future.

Countries citing papers authored by John Sheekey

Since Specialization
Citations

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