Mert Bay
- Signal Processing top 2%
- Computer Vision and Pattern Recognition top 5%
- Cognitive Neuroscience
- Artificial Intelligence
- Music top 5%
- Co-authors
- J. Stephen DownieAndreas F. EhmannXiao HuCyril LaurierKris WestEdith LawMichael MandelJames W. Beauchamp
- Topics
- Music and Audio Processing (13 papers)Speech and Audio Processing (10 papers)Music Technology and Sound Studies (9 papers)
- Journals
- The Journal of the Acoustical Society of AmericaOxford University Research Archive (ORA) (University of Oxford)International Symposium/Conference on Music Information Retrieval
- Partner nations
- United StatesBulgariaCanada
In The Last Decade
Mert Bay
12 papers receiving 317 citations
Peers
Comparison fields: 5 of 30
- Signal Processing 316
- Computer Vision and Pattern Recognition 204
- Cognitive Neuroscience 90
- Artificial Intelligence 70
- Music 29
Countries citing papers authored by Mert Bay
This map shows the geographic impact of Mert Bay'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 Mert Bay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mert Bay more than expected).
Fields of papers citing papers by Mert Bay
This network shows the impact of papers produced by Mert Bay. 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 Mert Bay. The network helps show where Mert Bay may publish in the future.
Co-authorship network of co-authors of Mert Bay
This figure shows the co-authorship network connecting the top 25 collaborators of Mert Bay. A scholar is included among the top collaborators of Mert Bay 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 Mert Bay. Mert Bay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 11 | |
| 5 | 14 | |
| 6 | 73 | |
| 7 | 79 | |
| 8 | The 2007 MIREX Audio Mood Classification Task: Lessons Learned | 110 |
| 9 | 12 | |
| 10 | 1 | |
| 11 | CREATING A SIMPLIFIED MUSIC MOOD CLASSIFICATION GROUND-TRUTH SET | 28 |
| 12 | 1 | |
| 13 | 4 |
About Mert Bay
Mert Bay is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 13 papers that have together received 347 indexed citations. Recurring topics across this work include Music and Audio Processing (13 papers), Speech and Audio Processing (10 papers) and Music Technology and Sound Studies (9 papers). The work is most often cited by research in Signal Processing (316 citations), Computer Vision and Pattern Recognition (204 citations) and Music (29 citations). Mert Bay has collaborated with scholars based in United States, Bulgaria and Canada. Frequent co-authors include J. Stephen Downie, Andreas F. Ehmann, Xiao Hu, Cyril Laurier, Kris West, Edith Law, Michael Mandel, James W. Beauchamp, Ichiro Fujinaga and David De Roure. Their work appears in journals such as The Journal of the Acoustical Society of America, Oxford University Research Archive (ORA) (University of Oxford) and International Symposium/Conference on Music Information Retrieval.
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.