Yves Raimond

1.3k total citations
31 papers, 557 citations indexed

About

Yves Raimond is a scholar working on Artificial Intelligence, Signal Processing and Information Systems. According to data from OpenAlex, Yves Raimond has authored 31 papers receiving a total of 557 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 16 papers in Signal Processing and 10 papers in Information Systems. Recurrent topics in Yves Raimond's work include Music and Audio Processing (15 papers), Semantic Web and Ontologies (12 papers) and Recommender Systems and Techniques (7 papers). Yves Raimond is often cited by papers focused on Music and Audio Processing (15 papers), Semantic Web and Ontologies (12 papers) and Recommender Systems and Techniques (7 papers). Yves Raimond collaborates with scholars based in United Kingdom, United States and Netherlands. Yves Raimond's co-authors include M. Sandler, Samer Abdallah, Christopher Sutton, Justin Basilico, Linas Baltrunas, Harald Steck, Dawen Liang, György Fazekas, Alexandre Passant and Michael Hausenblas and has published in prestigious journals such as AI Magazine, Journal of Web Semantics and IEEE Multimedia.

In The Last Decade

Yves Raimond

30 papers receiving 464 citations

Peers

Yves Raimond
Comparison fields: 5 of 62
  • Artificial Intelligence 315
  • Signal Processing 222
  • Information Systems 207
  • Computer Vision and Pattern Recognition 188
  • Management Science and Operations Research 95
Replace Eva Zangerle with:
Eva Zangerle Austria
Rodger J. McNab New Zealand
Julián Urbano Spain
Donald Byrd United States
Jeremy Pickens United States
Marius Kaminskas Italy
Raluca Paiu Germany
Jorge Morato Spain
Pavel Pecina Czechia
Laura Hollink Netherlands
Eva Zangerle Austria View profile →
Citations per field, relative to Yves Raimond
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Citations per year, relative to Yves Raimond
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Countries citing papers authored by Yves Raimond

Since Specialization
Citations

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

Fields of papers citing papers by Yves Raimond

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yves Raimond

This figure shows the co-authorship network connecting the top 25 collaborators of Yves Raimond. A scholar is included among the top collaborators of Yves Raimond 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 Yves Raimond. Yves Raimond is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 66
2 9
3 2
4 1
5 6
6 9
7 13
8 2
9 2
10 2
11
RDF 1.1 Primer
26
12
Automated interlinking of speech radio archives
11
13 3
14
NoTube: making the Web part of personalised TV
6
15
A Framework for Producing Rich Musical Metadata in Creative Music Production
3
16 22
17
Building Linked Data For Both Humans and Machines.
24
18
Automatic Interlinking of Music Datasets on the Semantic Web.
80
19
Using the Semantic Web for Enhanced Audio Experiences
2
20
An Ontology-based Approach to Information Management for Music Analysis Systems
7

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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