Andreu Vall
Impact in
- Signal Processing top 5%
- Music and Audio Processing
- Speech and Audio Processing
- Music top 10%
Papers in
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- Music and Audio Processing 9
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- Recommender Systems and Techniques 7
- Co-authors
- Markus Schedl (10 shared papers)Gerhard Widmer (6 shared papers)Marko Tkalčič (4 shared papers)Matthias Dorfer (2 shared papers)Bruce Ferwerda (3 shared papers)Katayoun Farrahi (2 shared papers)Hamid Eghbal-zadeh (1 shared paper)Jiye Shi (1 shared paper)
- Journals
- International Journal of Multimedia Information Retrieval (2 papers)User Modeling and User-Adapted Interaction (1 paper)Frontiers in Artificial Intelligence (1 paper)Lecture notes in computer science (1 paper)TU/e Research Portal (2 papers)
- Partner nations
- AustriaItalyUnited Kingdom
In The Last Decade
Andreu Vall
15 papers receiving 248 citations
Peers
Comparison fields: 5 of 62
- Signal Processing 135
- Music 18
- Computer Vision and Pattern Recognition 115
- Information Systems 96
- Health Informatics 3
Countries citing papers authored by Andreu Vall
This map shows the geographic impact of Andreu Vall'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 Andreu Vall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreu Vall more than expected).
Fields of papers citing papers by Andreu Vall
This network shows the impact of papers produced by Andreu Vall. 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 Andreu Vall. The network helps show where Andreu Vall may publish in the future.
Co-authors
The 21 scholars most cited alongside Andreu Vall, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 44 | |
| 2 | 2021 | 37 | |
| 3 | 2018 | 29 | |
| 4 | 2014 | 24 | |
| 5 | 2016 | 23 | |
| 6 | 2015 | 17 | |
| 7 | 2014 | 16 | |
| 8 | 2019 | 15 | |
| 9 | The Influence of Users' Personality Traits on Satisfaction and Attractiveness of Diversified Recommendation Lists | 2016 | 14 |
| 10 | 2016 | 12 | |
| 11 | 2017 | 11 | |
| 12 | The Importance of Song Context in Music Playlists. | 2017 | 8 |
| 13 | 2015 | 7 | |
| 14 | 2019 | 3 | |
| 15 | The importance of song context in music playlists: Enabling recommendations in the long tail | 2017 | 1 |
About Andreu Vall
Andreu Vall is a scholar working on Signal Processing, Information Systems, Computer Vision and Pattern Recognition, Sociology and Political Science and Marketing, having authored 15 papers that have together received 261 indexed citations. Recurring topics across this work include Music and Audio Processing (9 papers), Recommender Systems and Techniques (7 papers), Video Analysis and Summarization (2 papers), Digital Marketing and Social Media (2 papers), Neuroscience and Music Perception (2 papers), Consumer Market Behavior and Pricing (2 papers), Pharmacogenetics and Drug Metabolism (1 paper) and Supply Chain and Inventory Management (1 paper). The work is most often cited by research in Signal Processing (135 citations), Music (18 citations), Computer Vision and Pattern Recognition (115 citations), Information Systems (96 citations) and Health Informatics (3 citations). Andreu Vall has collaborated with scholars based in Austria, Italy and United Kingdom. Frequent co-authors include Markus Schedl, Gerhard Widmer, Marko Tkalčič, Matthias Dorfer, Bruce Ferwerda, Katayoun Farrahi, Hamid Eghbal-zadeh, Jiye Shi, Günter Klambauer and Sepp Hochreiter. Their work appears in journals such as International Journal of Multimedia Information Retrieval, User Modeling and User-Adapted Interaction, Frontiers in Artificial Intelligence, Lecture notes in computer science and TU/e Research Portal.
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.