Alan Marsden

482 citations
38 papers · 248 · h-index 9

Impact in

    • Music and Audio Processing
    • Speech and Audio Processing
  • Music top 5%
    • Musicology and Musical Analysis
    • Diverse Musicological Studies

Papers in

Alan Marsden

35 papers receiving 209 citations

Peers

Alan Marsden
Comparison fields: 5 of 68
  • Signal Processing 173
  • Music 27
  • Computer Vision and Pattern Recognition 158
  • Cognitive Neuroscience 118
  • Artificial Intelligence 36
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Zeqian Ju China
Walter Pharr United States
Peter Steinbach Germany
M Urvoy France
Darren Davis United States
Hamid Behravan Finland
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Citations per year

Countries citing papers authored by Alan Marsden

Since Specialization
Citations

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

Fields of papers citing papers by Alan Marsden

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Alan Marsden, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Alan Marsden Line = papers co-authored together Alan Marsden links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201038
2
Computer representations and models in music
199233
3 200526
4 199416
5 199315
6 201214
7 200112
8 20079
9 19878
10
Strategic Management for Small and Medium-Sized Enterprises (Smes)
20037
11 20077
12 20107
13 20146
14 20006
15 19895
16 19894
17 20164
18 19894
19 20223
20 20183

About Alan Marsden

Alan Marsden is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Music and Artificial Intelligence, having authored 38 papers that have together received 248 indexed citations. Recurring topics across this work include Music and Audio Processing (28 papers), Music Technology and Sound Studies (24 papers), Neuroscience and Music Perception (19 papers), Musicology and Musical Analysis (4 papers), Diverse Musicological Studies (3 papers), Neural Networks and Applications (3 papers), Video Analysis and Summarization (2 papers) and Diverse Music Education Insights (1 paper). The work is most often cited by research in Signal Processing (173 citations), Music (27 citations), Computer Vision and Pattern Recognition (158 citations), Cognitive Neuroscience (118 citations) and Artificial Intelligence (36 citations). Alan Marsden has collaborated with scholars based in United Kingdom, Japan and Spain. Frequent co-authors include Anthony Pople, R.H. Bull, Robert Kelly, David Rizo, M. Stewart, D.A. Jackson, Jonathan C. Aitchison, Sarah Warburton, Nigel Barrass and Kia Ng. Their work appears in journals such as Journal of Mathematics and Music, Journal of New Music Research, Environmental Health Perspectives, Contemporary Music Review and Australasian Journal of Dermatology.

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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