Andreu Vall

466 total citations
13 papers, 210 citations indexed

About

Andreu Vall is a scholar working on Signal Processing, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Andreu Vall has authored 13 papers receiving a total of 210 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Signal Processing, 6 papers in Information Systems and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Andreu Vall's work include Music and Audio Processing (8 papers), Recommender Systems and Techniques (6 papers) and Digital Marketing and Social Media (2 papers). Andreu Vall is often cited by papers focused on Music and Audio Processing (8 papers), Recommender Systems and Techniques (6 papers) and Digital Marketing and Social Media (2 papers). Andreu Vall collaborates with scholars based in Austria, Italy and United Kingdom. Andreu Vall's co-authors include Markus Schedl, Gerhard Widmer, Matthias Dorfer, Marko Tkalčič, Bruce Ferwerda, Katayoun Farrahi, Günter Klambauer, Hamid Eghbal-zadeh, Reiner Class and Jiye Shi and has published in prestigious journals such as User Modeling and User-Adapted Interaction, Frontiers in Artificial Intelligence and International Journal of Multimedia Information Retrieval.

In The Last Decade

Andreu Vall

13 papers receiving 200 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Andreu Vall Austria 10 108 90 74 43 30 13 210
Chih-Ming Chen Taiwan 6 37 0.3× 35 0.4× 161 2.2× 153 3.6× 11 0.4× 12 213
Eldar Sadikov United States 5 52 0.5× 34 0.4× 121 1.6× 105 2.4× 4 0.1× 6 275
Holger Stitz Austria 9 25 0.2× 146 1.6× 43 0.6× 72 1.7× 7 0.2× 21 226
Leonard K. M. Poon Hong Kong 9 31 0.3× 32 0.4× 58 0.8× 179 4.2× 4 0.1× 17 245
Robert Pienta United States 8 27 0.3× 119 1.3× 31 0.4× 76 1.8× 4 0.1× 12 191
Benjamin Nguyen France 8 69 0.6× 9 0.1× 121 1.6× 141 3.3× 13 0.4× 26 288
Yanen Li United States 10 29 0.3× 63 0.7× 156 2.1× 148 3.4× 2 0.1× 15 286
Menzo Windhouwer Netherlands 8 80 0.7× 26 0.3× 69 0.9× 198 4.6× 4 0.1× 40 272
Sajjadur Rahman United States 7 106 1.0× 142 1.6× 37 0.5× 94 2.2× 3 0.1× 22 244

Countries citing papers authored by Andreu Vall

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Andreu Vall

This figure shows the co-authorship network connecting the top 25 collaborators of Andreu Vall. A scholar is included among the top collaborators of Andreu Vall 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 Andreu Vall. Andreu Vall is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Vall, Andreu, Yogesh Sabnis, Jiye Shi, et al.. (2021). The Promise of AI for DILI Prediction. Frontiers in Artificial Intelligence. 4. 638410–638410. 35 indexed citations
2.
Vall, Andreu, Massimo Quadrana, Markus Schedl, & Gerhard Widmer. (2019). Order, context and popularity bias in next-song recommendations. International Journal of Multimedia Information Retrieval. 8(2). 101–113. 15 indexed citations
3.
Vall, Andreu, et al.. (2019). Feature-combination hybrid recommender systems for automated music playlist continuation. User Modeling and User-Adapted Interaction. 29(2). 527–572. 38 indexed citations
4.
Dorfer, Matthias, Jan Schlüter, Andreu Vall, Filip Korzeniowski, & Gerhard Widmer. (2018). End-to-end cross-modality retrieval with CCA projections and pairwise ranking loss. International Journal of Multimedia Information Retrieval. 7(2). 117–128. 25 indexed citations
5.
Vall, Andreu, Markus Schedl, Gerhard Widmer, Massimo Quadrana, & Paolo Cremonesi. (2017). The importance of song context in music playlists: Enabling recommendations in the long tail. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1905. 1–2. 1 indexed citations
6.
Vall, Andreu, Massimo Quadrana, Markus Schedl, Gerhard Widmer, & Paolo Cremonesi. (2017). The Importance of Song Context in Music Playlists.. Conference on Recommender Systems. 7 indexed citations
7.
Ferwerda, Bruce, Mark P. Graus, Andreu Vall, Marko Tkalčič, & Markus Schedl. (2017). How item discovery enabled by diversity leads to increased recommendation list attractiveness. TU/e Research Portal. 1693–1696. 9 indexed citations
8.
Ferwerda, Bruce, Mark P. Graus, Andreu Vall, Marko Tkalčič, & Markus Schedl. (2016). The Influence of Users' Personality Traits on Satisfaction and Attractiveness of Diversified Recommendation Lists. TU/e Research Portal. 1680. 43–47. 12 indexed citations
9.
Ferwerda, Bruce, Andreu Vall, Marko Tkalčič, & Markus Schedl. (2016). Exploring Music Diversity Needs Across Countries. View. 287–288. 19 indexed citations
10.
Vall, Andreu, Marcin Skowron, Peter Knees, & Markus Schedl. (2015). Improving Music Recommendations With A Weighted Factorization Of The Tagging Activity.. Zenodo (CERN European Organization for Nuclear Research). 65–71. 5 indexed citations
11.
Vall, Andreu. (2015). Listener-Inspired Automated Music Playlist Generation. 387–390. 16 indexed citations
12.
Schedl, Markus, Andreu Vall, & Katayoun Farrahi. (2014). User geospatial context for music recommendation in microblogs. ePrints Soton (University of Southampton). 987–990. 17 indexed citations
13.
Farrahi, Katayoun, Markus Schedl, Andreu Vall, David Hauger, & Marko Tkalčič. (2014). Impact Of Listening Behavior On Music Recommendation.. Zenodo (CERN European Organization for Nuclear Research). 483–488. 11 indexed citations

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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2026