Òscar Celma

41 papers receiving 1.0k citations

Peers

Òscar Celma
Comparison fields: 5 of 67
  • Signal Processing 511
  • Computer Vision and Pattern Recognition 497
  • Information Systems 504
  • Music 68
  • Computational Mathematics 9
Replace Arbee L. P. Chen with:
Arbee L. P. Chen Taiwan
Eva Zangerle Austria
Ullas Gargi United States
Marius Kaminskas Italy
Julián Urbano Spain
Marco Cristo Brazil
Massimo Quadrana Italy
Harry Halpin United Kingdom
M.L. Lambert United States
Palash Nandy United States
Òscar Celma relative to Arbee L. P. Chen Taiwan Arbee L. P. Chen's profile →
Citations per field
00.5×6.2×
Arbee L. P. Chen · 1×
Citations per year

Countries citing papers authored by Òscar Celma

Since Specialization
Citations

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

Fields of papers citing papers by Òscar Celma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010195
2 2010148
3 2008132
4 200894
5
Semantic Integration and Retrieval of Multimedia Metadata
200580
6 200873
7 200667
8 200541
9 200733
10 200730
11 200625
12 200821
13
Bridging the Music Semantic Gap
200619
14
MPEG-7 based Multimedia Ontologies: Interoperability Support or Interoperability Issue?
200718
15
Singing Voice Synthesis Combining Excitation plus Resonance and Sinusoidal plus Residual Models
200117
16
Multimedia Vocabularies on the Semantic Web
200714
17 201113
18 201112
19 201512
20 200511

About Òscar Celma

Òscar Celma is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems and Statistical and Nonlinear Physics, having authored 43 papers that have together received 1.2k indexed citations. Recurring topics across this work include Music and Audio Processing (35 papers), Music Technology and Sound Studies (19 papers), Video Analysis and Summarization (6 papers), Speech and Audio Processing (6 papers), Diverse Musicological Studies (5 papers), Recommender Systems and Techniques (5 papers), Natural Language Processing Techniques (5 papers) and Complex Network Analysis Techniques (5 papers). The work is most often cited by research in Signal Processing (511 citations), Computer Vision and Pattern Recognition (497 citations), Information Systems (504 citations), Music (68 citations) and Computational Mathematics (9 citations). Òscar Celma has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Perfecto Herrera, Pedro Cano, Xavier Serra, Roberto Garcı́a, Javier M. Buldú, Markus Koppenberger, Mohamed Sordo, Paul Lamere, Miquel Ramírez and Cyril Laurier. Their work appears in journals such as International Journal of Bifurcation and Chaos, Journal of Web Semantics, Chaos An Interdisciplinary Journal of Nonlinear Science, AI Magazine and Journal of New Music Research.

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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