Antonio Rodà

76 papers receiving 646 citations

Peers

Antonio Rodà
Comparison fields: 5 of 82
  • Signal Processing 301
  • Music 66
  • Cognitive Neuroscience 345
  • Computer Vision and Pattern Recognition 369
  • Human-Computer Interaction 61
Replace Rafael Ramírez with:
Rafael Ramírez Spain
Werner Goebl Austria
Renee Timmers United Kingdom
Sofia Dahl Denmark
Rolf Inge Godøy Norway
Birgitta Burger Finland
Kat Agres Singapore
Eduardo Coutinho United Kingdom
Olivier Houix France
Chris Chafe United States
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Citations per field
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Citations per year

Countries citing papers authored by Antonio Rodà

Since Specialization
Citations

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

Fields of papers citing papers by Antonio Rodà

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202086
2 201351
3 199842
4 200441
5 201435
6 200023
7 200623
8 201821
9 202118
10 200916
11 201516
12 201716
13 201815
14 201514
15 201813
16 201613
17
Analysis by synthesis of the expressive intentions in musical performance
199712
18 202212
19 201311
20 201011

About Antonio Rodà

Antonio Rodà is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience, Signal Processing, Music and Experimental and Cognitive Psychology, having authored 80 papers that have together received 684 indexed citations. Recurring topics across this work include Music Technology and Sound Studies (40 papers), Music and Audio Processing (34 papers), Neuroscience and Music Perception (30 papers), Multisensory perception and integration (7 papers), Diverse Musicological Studies (7 papers), Speech and Audio Processing (6 papers), Tactile and Sensory Interactions (5 papers) and Speech and dialogue systems (4 papers). The work is most often cited by research in Signal Processing (301 citations), Music (66 citations), Cognitive Neuroscience (345 citations), Computer Vision and Pattern Recognition (369 citations) and Human-Computer Interaction (61 citations). Antonio Rodà has collaborated with scholars based in Italy, Australia and United Kingdom. Frequent co-authors include Sergio Canazza, Giovanni De Poli, Nicola Orio, Federico Avanzini, Carlo Drioli, Stefano Masiero, Giulio Rosati, Emery Schubert, Luca Turchet and Lucia Masón. Their work appears in journals such as Journal of New Music Research, Multimedia Tools and Applications, IEEE Transactions on Affective Computing, ACM Transactions on Applied Perception and British Journal of Educational Psychology.

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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