Graham Riley

32 papers and 477 indexed citations i.

About

Graham Riley is a scholar working on Computer Networks and Communications, Hardware and Architecture and Computer Vision and Pattern Recognition. According to data from OpenAlex, Graham Riley has authored 32 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Networks and Communications, 11 papers in Hardware and Architecture and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Graham Riley’s work include Distributed and Parallel Computing Systems (11 papers), Parallel Computing and Optimization Techniques (11 papers) and Scientific Computing and Data Management (6 papers). Graham Riley is often cited by papers focused on Distributed and Parallel Computing Systems (11 papers), Parallel Computing and Optimization Techniques (11 papers) and Scientific Computing and Data Management (6 papers). Graham Riley collaborates with scholars based in United Kingdom, Germany and France. Graham Riley's co-authors include Crefeda Faviola Rodrigues, Eva García-Martín, Håkan Grahn, Rupert Ford, Mikel Luján, Christopher W. Armstrong, Peter V. Coveney, Rafael Delgado‐Buscalioni, Michael Bane and Sophie Valcke and has published in prestigious journals such as Computer Physics Communications, Bulletin of the American Meteorological Society and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Graham Riley i

Fields of papers citing papers by Graham Riley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Graham Riley

Since Specialization
Citations

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