Kevin Page

99 papers receiving 1.3k citations

Peers

Kevin Page
Comparison fields: 5 of 153
  • Music 103
  • Signal Processing 251
  • Information Systems and Management 138
  • Ecological Modeling 81
  • Computer Science Applications 92
Replace Christine Bauer with:
Christine Bauer Austria
Jacco van Ossenbruggen Netherlands
Yea‐Seul Kim United States
Junning Liu China
Xuan Zhu China
Douglas Tudhope United Kingdom
Siming Chen China
Günther Specht Austria
Allan Kuchinsky United States
Carsten Görg United States
Kevin Page relative to Christine Bauer Austria Christine Bauer's profile →
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Citations per year

Countries citing papers authored by Kevin Page

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Page

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kevin Page, 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 Kevin Page Line = papers co-authored together Kevin Page links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 105 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014161
2 1995125
3
Semantic Sensor Network XG Final Report
201192
4 199185
5 198778
6
Workflow-centric research objects: First class citizens in scholarly discourse.
201247
7 201138
8
Linked sensor data: RESTfully serving RDF and GML
200937
9 199735
10 201134
11 201428
12 200525
13 201525
14 201123
15 199619
16 201318
17 199017
18 201317
19
Recognition of thyroglobulin autoantigenic epitopes by murine T and B cells.
198717
20 202116

About Kevin Page

Kevin Page is a scholar working on Signal Processing, Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition and Music, having authored 105 papers that have together received 1.4k indexed citations. Recurring topics across this work include Music and Audio Processing (35 papers), Semantic Web and Ontologies (28 papers), Music Technology and Sound Studies (23 papers), Digital Humanities and Scholarship (17 papers), Diverse Musicological Studies (16 papers), Scientific Computing and Data Management (15 papers), Research Data Management Practices (13 papers) and Library Science and Information Systems (8 papers). The work is most often cited by research in Music (103 citations), Signal Processing (251 citations), Information Systems and Management (138 citations), Ecological Modeling (81 citations) and Computer Science Applications (92 citations). Kevin Page has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include David De Roure, R. J. Simpson, Brian Champion, David C. Rayner, I M Roitt, Kirk Martinez, Roberto Solari, P. G. H. Byfield, David Lewis and Tim Crawford. Their work appears in journals such as The Journal of Experimental Medicine, International Journal on Digital Libraries, Cytokine, Behavioral Neuroscience and Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences.

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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