Joan Serrà

4.0k total citations
81 papers, 1.4k citations indexed

About

Joan Serrà is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Joan Serrà has authored 81 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Signal Processing, 48 papers in Computer Vision and Pattern Recognition and 20 papers in Artificial Intelligence. Recurrent topics in Joan Serrà's work include Music and Audio Processing (61 papers), Music Technology and Sound Studies (40 papers) and Speech and Audio Processing (32 papers). Joan Serrà is often cited by papers focused on Music and Audio Processing (61 papers), Music Technology and Sound Studies (40 papers) and Speech and Audio Processing (32 papers). Joan Serrà collaborates with scholars based in Spain, Sri Lanka and Germany. Joan Serrà's co-authors include Xavier Serra, Josep Lluís Arcos, Perfecto Herrera, Emília Gómez, Ralph G. Andrzejak, √Ålvaro Corral, Martín Haro, Cyril Laurier, Peter Grosche and Marián Boguñá and has published in prestigious journals such as PLoS ONE, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Joan Serrà

77 papers receiving 1.4k citations

Peers

Joan Serrà
Comparison fields: 5 of 125
  • Signal Processing 1.0k
  • Computer Vision and Pattern Recognition 758
  • Artificial Intelligence 325
  • Cognitive Neuroscience 290
  • Music 107
Replace Bryan Pardo with:
Bryan Pardo United States
Josep Lluís Arcos Spain
Douglas Eck Canada
Pedro Cano Spain
Lie Lu China
Jonathan Foote United States
Ichiro Fujinaga Canada
Perfecto Herrera Spain
Carlos Agón France
Douglas Turnbull United States
Bryan Pardo United States View profile →
Citations per field, relative to Joan Serrà
Joan Serrà · 1×
Citations per year, relative to Joan Serrà
Joan Serrà · 1×

Countries citing papers authored by Joan Serrà

Since Specialization
Citations

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

Fields of papers citing papers by Joan Serrà

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joan Serrà

This figure shows the co-authorship network connecting the top 25 collaborators of Joan Serrà. A scholar is included among the top collaborators of Joan Serrà 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 Joan Serrà. Joan Serrà 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 1
2 9
3 1
4 1
5 34
6 18
7
Compact Embedding of Binary-coded Inputs and Outputs using Bloom Filters
0
8 13
9 14
10 7
11 17
12 145
13
Audio clip classification using social tags and the effect of tag expansion
5
14 10
15 4
16 120
17 12
18
Music classification using high-level models
2
19 2
20
OIKOS: un entorno didáctico web para el aprendizaje de los riesgos geológicos
0

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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