Meurig Beynon

83 total papers · 577 total citations
54 papers, 287 citations indexed

About

Meurig Beynon is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Science Applications. According to data from OpenAlex, Meurig Beynon has authored 54 papers receiving a total of 287 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 10 papers in Computer Science Applications. Recurrent topics in Meurig Beynon's work include Data Visualization and Analytics (9 papers), Innovative Teaching and Learning Methods (7 papers) and Teaching and Learning Programming (7 papers). Meurig Beynon is often cited by papers focused on Data Visualization and Analytics (9 papers), Innovative Teaching and Learning Methods (7 papers) and Teaching and Learning Programming (7 papers). Meurig Beynon collaborates with scholars based in United Kingdom, Finland and United States. Meurig Beynon's co-authors include Steve Russ, Kerstin Dautenhahn, Chrystopher L. Nehaniv, Jane Sinclair, Russell Boyatt, Mike Joy, W. M. Beynon, Erkki Sutinen, Abhir Bhalerao and Steve Hunt and has published in prestigious journals such as Decision Support Systems, Lecture notes in computer science and Educational Technology & Society.

In The Last Decade

Meurig Beynon

46 papers receiving 217 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Meurig Beynon 76 64 48 44 40 54 287
Thomas Way 70 0.9× 102 1.6× 46 1.0× 15 0.3× 12 0.3× 36 303
Constantinos Mourlas 93 1.2× 34 0.5× 81 1.7× 23 0.5× 9 0.2× 38 264
Roxanne Moore 20 0.3× 62 1.0× 38 0.8× 17 0.4× 25 0.6× 47 325
Wen-Chih Chang 49 0.6× 60 0.9× 31 0.6× 26 0.6× 22 0.6× 45 283
Andrea Molinari 63 0.8× 40 0.6× 23 0.5× 14 0.3× 28 0.7× 64 277
David Russell 94 1.2× 35 0.5× 37 0.8× 39 0.9× 18 0.5× 25 252
Trond Aalberg 86 1.1× 83 1.3× 17 0.4× 23 0.5× 37 0.9× 38 313
Maria Rigou 63 0.8× 41 0.6× 46 1.0× 18 0.4× 16 0.4× 53 326
Athanasios Manitsaris 43 0.6× 28 0.4× 27 0.6× 80 1.8× 25 0.6× 39 325
Jacques Duílio Brancher 81 1.1× 64 1.0× 68 1.4× 25 0.6× 5 0.1× 58 317

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).

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.

Co-authorship network of co-authors of Meurig Beynon

This figure shows the co-authorship network connecting the top 25 collaborators of Meurig Beynon. A scholar is included among the top collaborators of Meurig Beynon based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Meurig Beynon. Meurig Beynon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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