Bruce Ferwerda
Impact in
- Signal Processing top 5%
- Music and Audio Processing
- Music top 5%
Papers in
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- Music and Audio Processing 18
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- Music Technology and Sound Studies 5
- Video Analysis and Summarization 5
- Co-authors
- Markus Schedl (24 shared papers)Marko Tkalčič (28 shared papers)Marcin Skowron (3 shared papers)Michael Jongseon Lee (3 shared papers)Andreu Vall (3 shared papers)Mark P. Graus (7 shared papers)Florian Lemmerich (2 shared papers)Peter Knees (3 shared papers)
- Journals
- Multimedia Tools and Applications (2 papers)ACM SIGIR Forum (1 paper)Journal of Computer Information Systems (1 paper)Lecture notes in computer science (5 papers)Communications in computer and information science (1 paper)
In The Last Decade
Bruce Ferwerda
56 papers receiving 860 citations
Peers
Comparison fields: 5 of 65
- Signal Processing 225
- Music 47
- Computer Science Applications 78
- Computer Vision and Pattern Recognition 218
- Information Systems 223
Countries citing papers authored by Bruce Ferwerda
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
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.
All Works
Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 100 | |
| 2 | 2015 | 66 | |
| 3 | 2015 | 59 | |
| 4 | 2016 | 57 | |
| 5 | 2018 | 46 | |
| 6 | 2017 | 45 | |
| 7 | Enhancing Music Recommender Systems with Personality Information and Emotional States: A Proposal. | 2014 | 42 |
| 8 | 2016 | 35 | |
| 9 | Personality & Emotional States: Understanding Users' Music Listening Needs. | 2015 | 32 |
| 10 | 2016 | 25 | |
| 11 | 2015 | 24 | |
| 12 | 2017 | 24 | |
| 13 | 2013 | 24 | |
| 14 | 2017 | 24 | |
| 15 | You Are What You Post: What the Content of Instagram Pictures Tells About Users’ Personality | 2018 | 20 |
| 16 | 2019 | 20 | |
| 17 | 2017 | 19 | |
| 18 | Personality Traits and Music Genre Preferences : How Music Taste Varies Over Age Groups | 2017 | 19 |
| 19 | 2016 | 18 | |
| 20 | 2019 | 16 |
About Bruce Ferwerda
Bruce Ferwerda is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Information Systems and Management, Information Systems and Literature and Literary Theory, having authored 59 papers that have together received 909 indexed citations. Recurring topics across this work include Music and Audio Processing (18 papers), Recommender Systems and Techniques (11 papers), Neuroscience and Music Perception (10 papers), Personality Traits and Psychology (8 papers), Media Influence and Health (8 papers), Digital Marketing and Social Media (6 papers), Music Technology and Sound Studies (5 papers) and Video Analysis and Summarization (5 papers). The work is most often cited by research in Signal Processing (225 citations), Music (47 citations), Computer Science Applications (78 citations), Computer Vision and Pattern Recognition (218 citations) and Information Systems (223 citations). Bruce Ferwerda has collaborated with scholars based in Sweden, Austria and Italy. Frequent co-authors include Markus Schedl, Marko Tkalčič, Marcin Skowron, Michael Jongseon Lee, Andreu Vall, Mark P. Graus, Florian Lemmerich, Peter Knees, David Hauger and Alixe Lay. Their work appears in journals such as Multimedia Tools and Applications, ACM SIGIR Forum, Journal of Computer Information Systems, Lecture notes in computer science and Communications in computer and information science.
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.