Paul Vickers

25 papers and 280 indexed citations i.

About

Paul Vickers is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Paul Vickers has authored 25 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 7 papers in Signal Processing. Recurrent topics in Paul Vickers’s work include Data Visualization and Analytics (6 papers), Software Engineering Research (4 papers) and Neuroscience and Music Perception (3 papers). Paul Vickers is often cited by papers focused on Data Visualization and Analytics (6 papers), Software Engineering Research (4 papers) and Neuroscience and Music Perception (3 papers). Paul Vickers collaborates with scholars based in United Kingdom, United States and Germany. Paul Vickers's co-authors include Jane Alty, Graeme Horsman, Peter Matthews, Jane Holmes, Robert Höldrich, Ewa Domańska and Astrid Erll and has published in prestigious journals such as PLoS ONE, Communications of the ACM and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Paul Vickers i

Fields of papers citing papers by Paul Vickers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Paul Vickers

Since Specialization
Citations

This map shows the geographic impact of Paul Vickers'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 Paul Vickers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Vickers 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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2025