Bruce Ferwerda

1.2k citations
56 papers · 856 · h-index 18

Impact in

Papers in

Bruce Ferwerda

55 papers receiving 819 citations

Peers

Bruce Ferwerda
Comparison fields: 5 of 64
  • Signal Processing 211
  • Music 42
  • Computer Science Applications 72
  • Computer Vision and Pattern Recognition 206
  • Clinical Psychology 174
Replace Esyin Chew with:
Esyin Chew United Kingdom
Marcin Skowron Austria
Eleni Berki Finland
Peter Hastings United States
Noah Wardrip–Fruin United States
Nava Tintarev Netherlands
Cristina Robles Spain
Marcia H. Davis United States
Francesco Barbieri Spain
Carol L. Barry United States
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Citations per field
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Citations per year

Countries citing papers authored by Bruce Ferwerda

Since Specialization
Citations

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

Fields of papers citing papers by Bruce Ferwerda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201698
2 201565
3 201558
4 201655
5 201846
6
Enhancing Music Recommender Systems with Personality Information and Emotional States: A Proposal.
201443
7 201741
8
Personality & Emotional States: Understanding Users' Music Listening Needs.
201531
9 201631
10 201725
11 201524
12 201623
13 201323
14 201721
15
You Are What You Post: What the Content of Instagram Pictures Tells About Users’ Personality
201820
16 201619
17 201919
18
Personality Traits and Music Genre Preferences : How Music Taste Varies Over Age Groups
201717
19 201717
20 201915

About Bruce Ferwerda

Bruce Ferwerda is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Sociology and Political Science, Information Systems and Cognitive Neuroscience, having authored 56 papers that have together received 856 indexed citations. Recurring topics across this work include Music and Audio Processing (19 papers), Recommender Systems and Techniques (11 papers), Neuroscience and Music Perception (9 papers), Personality Traits and Psychology (8 papers), Media Influence and Health (8 papers), Digital Marketing and Social Media (6 papers), Opinion Dynamics and Social Influence (6 papers) and Music Technology and Sound Studies (5 papers). The work is most often cited by research in Signal Processing (211 citations), Music (42 citations), Computer Science Applications (72 citations), Computer Vision and Pattern Recognition (206 citations) and Clinical Psychology (174 citations). Bruce Ferwerda has collaborated with scholars based in Sweden, Austria and Italy. Frequent co-authors include Markus Schedl, Marko Tkalčič, Marcin Skowron, Michael J. Lee, Mark P. Graus, Andreu Vall, Florian Lemmerich, David Hauger, Alixe Lay and Peter Knees. Their work appears in journals such as Multimedia Tools and Applications, Journal of Computer Information Systems, Lecture notes in computer science, Communications in computer and information science and CHI Conference on Human Factors in Computing Systems Extended Abstracts.

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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