Frederic Font

972 total citations
23 papers, 464 citations indexed

About

Frederic Font is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Frederic Font has authored 23 papers receiving a total of 464 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Signal Processing, 16 papers in Computer Vision and Pattern Recognition and 5 papers in Information Systems. Recurrent topics in Frederic Font's work include Music and Audio Processing (17 papers), Music Technology and Sound Studies (10 papers) and Speech and Audio Processing (7 papers). Frederic Font is often cited by papers focused on Music and Audio Processing (17 papers), Music Technology and Sound Studies (10 papers) and Speech and Audio Processing (7 papers). Frederic Font collaborates with scholars based in Spain, France and United Kingdom. Frederic Font's co-authors include Xavier Serra, Gerard Roma, Eduardo Fonseca, Sergio Oramas, Jordi Pons, Xavier Favory, Joan Serrà, Andrés Ferraro, Alastair Porter and Dmitry Bogdanov and has published in prestigious journals such as IEEE Internet of Things Journal, Knowledge-Based Systems and Surveys in Geophysics.

In The Last Decade

Frederic Font

20 papers receiving 440 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Frederic Font Spain 9 346 192 125 72 33 23 464
Jen-Yu Liu Taiwan 13 283 0.8× 210 1.1× 101 0.8× 89 1.2× 24 0.7× 28 443
Gerard Roma United Kingdom 9 597 1.7× 384 2.0× 148 1.2× 162 2.3× 22 0.7× 53 735
Ju-Chiang Wang Taiwan 14 374 1.1× 260 1.4× 136 1.1× 130 1.8× 25 0.8× 35 503
Martin F. McKinney United States 13 616 1.8× 405 2.1× 82 0.7× 292 4.1× 6 0.2× 34 773
Jordi Pons Spain 11 427 1.2× 220 1.1× 148 1.2× 79 1.1× 2 0.1× 21 503
Fabian-Robert Stöter Germany 10 473 1.4× 129 0.7× 185 1.5× 80 1.1× 3 0.1× 23 570
Nicholas J. Bryan United States 16 356 1.0× 230 1.2× 109 0.9× 97 1.3× 2 0.1× 32 479
Kristoffer Jensen Denmark 8 146 0.4× 145 0.8× 34 0.3× 142 2.0× 6 0.2× 31 323
Óscar Mayor Spain 8 324 0.9× 259 1.3× 44 0.4× 132 1.8× 13 0.4× 19 401
Gaëtan Lorho Finland 8 367 1.1× 168 0.9× 84 0.7× 142 2.0× 2 0.1× 23 520

Countries citing papers authored by Frederic Font

Since Specialization
Citations

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

Fields of papers citing papers by Frederic Font

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frederic Font

This figure shows the co-authorship network connecting the top 25 collaborators of Frederic Font. A scholar is included among the top collaborators of Frederic Font 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 Frederic Font. Frederic Font 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
1.
Bogdanov, Dmitry, et al.. (2024). Evaluation of Deep Audio Representations for Semantic Sound Similarity. Repositori digital de la UPF (Universitat Pompeu Fabra). 1–7.
2.
Turchet, Luca, Mathieu Lagrange, Cristina Rottondi, et al.. (2023). The Internet of Sounds: Convergent Trends, Insights, and Future Directions. IEEE Internet of Things Journal. 10(13). 11264–11292. 47 indexed citations
3.
Rocamora, Martín, et al.. (2021). An Interpretable Deep Learning Model for Automatic Sound Classification. Electronics. 10(7). 850–850. 31 indexed citations
4.
Font, Frederic, et al.. (2021). Proceedings of the 6th Workshop on Detection and Classication of Acoustic Scenes and Events (DCASE 2021). Repositori digital de la UPF (Universitat Pompeu Fabra). 2 indexed citations
5.
Font, Frederic. (2021). SOURCE: a Freesound Community Music Sampler. Repositori digital de la UPF (Universitat Pompeu Fabra). 182–187. 6 indexed citations
6.
Fonseca, Eduardo, Manoj Plakal, Frederic Font, et al.. (2018). General-purpose Tagging of Freesound Audio with AudioSet Labels: Task Description, Dataset, and Baseline. RECERCAT (Consorci de Serveis Universitaris de Catalunya). 10 indexed citations
7.
Fonseca, Eduardo, Jordi Pons, Xavier Favory, et al.. (2017). Freesound Datasets: A Platform For The Creation Of Open Audio Datasets.. International Symposium/Conference on Music Information Retrieval. 486–493. 97 indexed citations
8.
Font, Frederic & Xavier Serra. (2016). Tempo Estimation For Music Loops And A Simple Confidence Measure.. International Symposium/Conference on Music Information Retrieval. 269–275. 4 indexed citations
9.
Font, Frederic, et al.. (2016). Improving Audio Retrieval through Loudness Profile Categorization. Repositori digital de la UPF (Universitat Pompeu Fabra). 565–568. 1 indexed citations
10.
Font, Frederic, Tim Brookes, György Fazekas, et al.. (2016). Audio Commons: bringing Creative Commons audio content to the creative industries. Surrey Research Insight Open Access (The University of Surrey). 13 indexed citations
11.
Font, Frederic, Joan Serrà, & Xavier Serra. (2015). Analysis of the Impact of a Tag Recommendation System in a Real-World Folksonomy. ACM Transactions on Intelligent Systems and Technology. 7(1). 1–27. 10 indexed citations
12.
Font, Frederic, Sergio Oramas, György Fazekas, & Xavier Serra. (2014). Extending tagging ontologies with domain specific knowledge. International Semantic Web Conference. 209–212. 3 indexed citations
13.
Font, Frederic, Joan Serrà, & Xavier Serra. (2014). Audio clip classification using social tags and the effect of tag expansion. 5 indexed citations
14.
Font, Frederic, et al.. (2014). Class-based tag recommendation and user-based evaluation in online audio clip sharing. Knowledge-Based Systems. 67. 131–142. 11 indexed citations
15.
Font, Frederic, Joan Serrà, & Xavier Serra. (2013). Folksonomy-Based Tag Recommendation for Collaborative Tagging Systems. International Journal on Semantic Web and Information Systems. 9(2). 1–30. 10 indexed citations
16.
Font, Frederic, Gerard Roma, Perfecto Herrera, & Xavier Serra. (2012). Characterization of the Freesound online community. RECERCAT (Consorci de Serveis Universitaris de Catalunya). 22. 1–6. 6 indexed citations
17.
Font, Frederic, Joan Serrà, & Xavier Serra. (2012). Folksonomy-Based Tag Recommendation For Online Audio Clip Sharing.. Zenodo (CERN European Organization for Nuclear Research). 73–78. 7 indexed citations
18.
Roma, Gerard, Perfecto Herrera, Massimiliano Zanin, et al.. (2012). Small world networks and creativity in audio clip sharing. Repositori digital de la UPF (Universitat Pompeu Fabra). 1(1). 112–112. 6 indexed citations
19.
Font, Frederic & Xavier Serra. (2011). Extending sound sample descriptions through the extraction of community knowledge. 418–421. 1 indexed citations
20.
Font, Frederic, et al.. (2008). Application-Oriented Distributed Sensor Network. 290–295.

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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