Bruce Ferwerda
About
In The Last Decade
Bruce Ferwerda
43 papers receiving 579 citations
Peers
Comparison fields: 5 of 60
- Sociology and Political Science 158
- Signal Processing 141
- Information Systems 140
- Computer Vision and Pattern Recognition 134
- Clinical Psychology 121
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-authorship network of co-authors of Bruce Ferwerda
This figure shows the co-authorship network connecting the top 25 collaborators of Bruce Ferwerda. A scholar is included among the top collaborators of Bruce Ferwerda 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 Bruce Ferwerda. Bruce Ferwerda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 4 | |
| 7 | A Qualitative Study of User Participation and Challenges in a Social Shopping Context | 1 |
| 8 | Using a Serious Game to Teach User-Centered Design | 5 |
| 9 | Tamagotchi++: A Serious, Personalized Game to Encourage Healthy Behavior. | 2 |
| 10 | 17 | |
| 11 | Theory-driven Recommendations : Modeling Hedonic and Eudaimonic Movie Preferences | 1 |
| 12 | You Are What You Post: What the Content of Instagram Pictures Tells About Users’ Personality | 17 |
| 13 | Predicting Users’ Personality Based on Their ‘Liked’ Images on Instagram | 10 |
| 14 | 2 | |
| 15 | Personality Traits and Music Genre Preferences : How Music Taste Varies Over Age Groups | 16 |
| 16 | The Influence of Users' Personality Traits on Satisfaction and Attractiveness of Diversified Recommendation Lists | 12 |
| 17 | 19 | |
| 18 | Personality & Emotional States: Understanding Users' Music Listening Needs. | 26 |
| 19 | Enhancing Music Recommender Systems with Personality Information and Emotional States: A Proposal. | 38 |
| 20 | Using Social Media Mining for Estimating Theory of Planned Behaviour Parameters. | 6 |
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.