Meurig Beynon

14 papers and 111 indexed citations i.

About

Meurig Beynon is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Computer Science Applications. According to data from OpenAlex, Meurig Beynon has authored 14 papers receiving a total of 111 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computational Theory and Mathematics, 3 papers in Artificial Intelligence and 2 papers in Computer Science Applications. Recurrent topics in Meurig Beynon’s work include Semantic Web and Ontologies (3 papers), Model-Driven Software Engineering Techniques (2 papers) and Computability, Logic, AI Algorithms (2 papers). Meurig Beynon is often cited by papers focused on Semantic Web and Ontologies (3 papers), Model-Driven Software Engineering Techniques (2 papers) and Computability, Logic, AI Algorithms (2 papers). Meurig Beynon collaborates with scholars based in United Kingdom. Meurig Beynon's co-authors include Steve Russ, Chrystopher L. Nehaniv, Kerstin Dautenhahn, Russell Boyatt, Jane Sinclair and Mike Joy and has published in prestigious journals such as Decision Support Systems, Lecture notes in computer science and Educational Technology & Society.

In The Last Decade

Co-authorship network of co-authors of Meurig Beynon i

Fields of papers citing papers by Meurig Beynon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Meurig Beynon. 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 Meurig Beynon. The network helps show where Meurig Beynon may publish in the future.

Countries citing papers authored by Meurig Beynon

Since Specialization
Citations

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