Anna Xambó

692 citations
48 papers · 397 · h-index 10

Impact in

Papers in

Anna Xambó

46 papers receiving 365 citations

Peers

Anna Xambó
Comparison fields: 5 of 65
  • Human-Computer Interaction 148
  • Signal Processing 115
  • Computer Vision and Pattern Recognition 205
  • Music 19
  • Cognitive Neuroscience 116
Replace Fabio Morreale with:
Fabio Morreale United Kingdom
Adrian Hazzard United Kingdom
Matthew Yee-King United Kingdom
Anna Jordanous United Kingdom
Mick Grierson United Kingdom
Mitchell Whitelaw Australia
Sarah Fdili Alaoui France
Samuel Huron France
Γεώργιος Κουρουπέτρογλου Greece
Christina Katsini Greece
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Citations per field
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Citations per year

Countries citing papers authored by Anna Xambó

Since Specialization
Citations

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

Fields of papers citing papers by Anna Xambó

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201283
2
Proceedings of the International Conference on New Interfaces for Musical Expression
202052
3 201328
4 201622
5 201822
6 201716
7 201616
8 201813
9 201612
10 201011
11 20109
12 20109
13 20188
14 20196
15 20146
16 20086
17
Exploring Real-time Visualisations to Support Chord Learning with a Large Music Collection
20195
18
Proceedings of the International Web Audio Conference
20205
19
A case study in learning spaces for physical-virtual two-campus interaction
20195
20 20185

About Anna Xambó

Anna Xambó is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Signal Processing, Cognitive Neuroscience and Sociology and Political Science, having authored 48 papers that have together received 397 indexed citations. Recurring topics across this work include Music Technology and Sound Studies (31 papers), Interactive and Immersive Displays (19 papers), Music and Audio Processing (17 papers), Innovative Human-Technology Interaction (10 papers), Neuroscience and Music Perception (8 papers), Tactile and Sensory Interactions (5 papers), Speech and Audio Processing (3 papers) and Experimental Learning in Engineering (3 papers). The work is most often cited by research in Human-Computer Interaction (148 citations), Signal Processing (115 citations), Computer Vision and Pattern Recognition (205 citations), Music (19 citations) and Cognitive Neuroscience (116 citations). Anna Xambó has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Perfecto Herrera, Gerard Roma, Emília Gómez, Martín Haro, Dmitry Bogdanov, Ferdinand Fuhrmann, Carey Jewitt, Sara Price, Robin Laney and Sergi Jordà. Their work appears in journals such as Journal of the Audio Engineering Society, Journal of New Music Research, Interacting with Computers, Qualitative Research and Applied Sciences.

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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