Frederic Font

972 citations
23 papers · 464 indexed · h-index 9

Frederic Font

20 papers receiving 440 citations

Peers

Frederic Font
Comparison fields: 5 of 62
  • Signal Processing 346
  • Developmental Biology 23
  • Computer Vision and Pattern Recognition 192
  • Music 22
  • Artificial Intelligence 125
Replace Gerard Roma with:
Gerard Roma United Kingdom
Nicholas J. Bryan United States
Martin F. McKinney United States
Gaëtan Lorho Finland
Óscar Mayor Spain
Janto Skowronek Germany
Jordi Pons Spain
Jen-Yu Liu Taiwan
Nicolas Wack Spain
Kristoffer Jensen Denmark
Frederic Font relative to Gerard Roma United Kingdom Gerard Roma's profile →
Citations per field
00.5×1.5×
Gerard Roma · 1×
Citations per year

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

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

All Works

20 of 20 papers shown
#Work
1 20240
2 202347
3 202131
4 20212
5
General-purpose Tagging of Freesound Audio with AudioSet Labels: Task Description, Dataset, and Baseline
201810
6 201797
7 20164
8 20161
9
Audio Commons: bringing Creative Commons audio content to the creative industries
201613
10 201510
11
Extending tagging ontologies with domain specific knowledge
20143
12
Audio clip classification using social tags and the effect of tag expansion
20145
13 201411
14 201310
15 2013190
16 20126
17 20127
18 20126
19 20111
20 20080

About Frederic Font

Frederic Font is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Communication, having authored 23 papers that have together received 464 indexed citations. Recurring topics across this work include Music and Audio Processing (17 papers), Music Technology and Sound Studies (10 papers), Speech and Audio Processing (7 papers), Video Analysis and Summarization (7 papers), Wikis in Education and Collaboration (3 papers), Recommender Systems and Techniques (3 papers), Knowledge Management and Sharing (1 paper) and Expert finding and Q&A systems (1 paper). The work is most often cited by research in Signal Processing (346 citations), Developmental Biology (23 citations) and Computer Vision and Pattern Recognition (192 citations). Frederic Font has collaborated with scholars based in Spain, France and United Kingdom. Frequent co-authors include Xavier Serra, Gerard Roma, Eduardo Fonseca, Xavier Favory, Jordi Pons, Sergio Oramas, Joan Serrà, Andrés Ferraro, Alastair Porter and Dmitry Bogdanov. Their work appears in journals such as IEEE Internet of Things Journal, Electronics, Knowledge-Based Systems, Surveys in Geophysics and ACM Transactions on Intelligent Systems and 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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