Rowan Seymour

13 total papers · 1.5k total citations
6 papers, 145 citations indexed

About

Rowan Seymour is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Mechanics of Materials. According to data from OpenAlex, Rowan Seymour has authored 6 papers receiving a total of 145 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 Mechanics of Materials. 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 Darryl Stewart, Ji Ming, F.J. Smith, 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 Journal of Electronics and Control.

In The Last Decade

Rowan Seymour

6 papers receiving 128 citations

Author Peers

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

Author						Papers	Cites
Rowan Seymour	110	62	46	15	10	6	145
Brendan Shillingford	153 1.4×	93 1.5×	121 2.6×	17 1.1×	14 1.4×	8	265
Nelson Yalta	117 1.1×	42 0.7×	80 1.7×	10 0.7×	10 1.0×	7	185
B. Duc	124 1.1×	193 3.1×	28 0.6×	5 0.3×	7 0.7×	9	245
Vivek Kshirsagar	64 0.6×	178 2.9×	35 0.8×	13 0.9×	6 0.6×	8	226
Jean-François Sérignat	74 0.7×	49 0.8×	78 1.7×	13 0.9×	4 0.4×	10	157
Chaochao Lu	70 0.6×	181 2.9×	52 1.1×	10 0.7×	8 0.8×	7	244
Alfonso Casas Martín	132 1.2×	119 1.9×	21 0.5×	7 0.5×	13 1.3×	6	244
Guido Aversano	118 1.1×	24 0.4×	105 2.3×	4 0.3×	10 1.0×	6	155
Khawar Mehmood	65 0.6×	32 0.5×	222 4.8×	13 0.9×	10 1.0×	8	290
Xuan Cao	70 0.6×	33 0.5×	103 2.2×	7 0.5×	14 1.4×	11	160

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).

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.

Co-authorship network of co-authors of Rowan Seymour

This figure shows the co-authorship network connecting the top 25 collaborators of Rowan Seymour. A scholar is included among the top collaborators of Rowan Seymour 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 Rowan Seymour. Rowan Seymour 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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