Rowan Seymour

5 papers and 110 indexed citations i.

About

Rowan Seymour is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Mechanical Engineering. According to data from OpenAlex, Rowan Seymour has authored 5 papers receiving a total of 110 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Signal Processing, 3 papers in Computer Vision and Pattern Recognition and 1 paper in Mechanical Engineering. Recurrent topics in Rowan Seymour’s work include Speech and Audio Processing (4 papers), Advanced Data Compression Techniques (3 papers) and Music and Audio Processing (3 papers). Rowan Seymour is often cited by papers focused on Speech and Audio Processing (4 papers), Advanced Data Compression Techniques (3 papers) and Music and Audio Processing (3 papers). Rowan Seymour collaborates with scholars based in United Kingdom and United States. Rowan Seymour's co-authors include Ji Ming, Darryl Stewart, K. G. Emeléus and G. A. Woolsey and has published in prestigious journals such as IEEE Transactions on Cybernetics, EURASIP Journal on Image and Video Processing and Interspeech 2022.

In The Last Decade

Co-authorship network of co-authors of Rowan Seymour i

Fields of papers citing papers by Rowan Seymour

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Rowan Seymour

Since Specialization
Citations

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