Sergio Oramas

918 citations
28 papers · 456 · h-index 10

Impact in

    • Music and Audio Processing
    • Speech and Audio Processing
  • Music top 2%
    • Diverse Musicological Studies

Papers in

Sergio Oramas

25 papers receiving 427 citations

Peers

Sergio Oramas
Comparison fields: 5 of 57
  • Signal Processing 279
  • Music 65
  • Computer Vision and Pattern Recognition 185
  • Artificial Intelligence 212
  • Information Systems 91
Replace Mohamed Sordo with:
Mohamed Sordo Spain
Dominik Schnitzer Austria
Tim Pohle Austria
Martin Pichl Austria
Romain Hennequin France
Tim Crawford United Kingdom
Robert Neumayer Austria
Kerstin Bischoff Germany
Claudiu S. Firan Germany
Sergio Oramas relative to Mohamed Sordo Spain Mohamed Sordo's profile →
Citations per field
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Mohamed Sordo · 1×
Citations per year

Countries citing papers authored by Sergio Oramas

Since Specialization
Citations

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

Fields of papers citing papers by Sergio Oramas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201697
2 201797
3 201886
4 201842
5 201621
6 201720
7 202114
8
ELMD: an automatically generated entity linking gold standard dataset in the music domain
201613
9 201612
10 20129
11 20158
12 20156
13 20156
14 20195
15
Extending tagging ontologies with domain specific knowledge
20143
16
Automatic Creation of Knowledge Graphs from Digital Musical Document Libraries
20143
17 20153
18
Does Always the Phrygian Mode Elicit Responses of Negative Valence
20142
19
MEL: a music entity linking system
20172
20 20162

About Sergio Oramas

Sergio Oramas is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Artificial Intelligence, Music and Cognitive Neuroscience, having authored 28 papers that have together received 456 indexed citations. Recurring topics across this work include Music and Audio Processing (23 papers), Music Technology and Sound Studies (12 papers), Topic Modeling (8 papers), Diverse Musicological Studies (7 papers), Natural Language Processing Techniques (4 papers), Neuroscience and Music Perception (4 papers), Advanced Text Analysis Techniques (3 papers) and Semantic Web and Ontologies (2 papers). The work is most often cited by research in Signal Processing (279 citations), Music (65 citations), Computer Vision and Pattern Recognition (185 citations), Artificial Intelligence (212 citations) and Information Systems (91 citations). Sergio Oramas has collaborated with scholars based in Spain, United States and Italy. Frequent co-authors include Xavier Serra, Oriol Nieto, Francesco Barbieri, Tommaso Di Noia, Eugenio Di Sciascio, Vito Claudio Ostuni, Luis Espinosa-Anke, Frederic Font, Mohamed Sordo and Dmitry Bogdanov. Their work appears in journals such as Data & Knowledge Engineering, Language Resources and Evaluation, ACM Transactions on Intelligent Systems and Technology, SHILAP Revista de lepidopterología and Arrow@dit (Dublin Institute of Technology).

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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