Youngmoo E. Kim
Impact in
- Signal Processing top 0.5%
- Music and Audio Processing
- Speech and Audio Processing
-
- Music Technology and Sound Studies
Papers in
-
- Music and Audio Processing 62
- Speech and Audio Processing 36
-
- Music Technology and Sound Studies 62
- Co-authors
- Erik M. Schmidt (25 shared papers)Douglas Turnbull (5 shared papers)Eun‐Pyo Kim (7 shared papers)Brandon G. Morton (15 shared papers)Sung Ho Lee (11 shared papers)Jeffrey J. Scott (12 shared papers)Hasan Ayaz (4 shared papers)Raymond Migneco (13 shared papers)
- Journals
- International Journal of Refractory Metals and Hard Materials (5 papers)Journal of Alloys and Compounds (3 papers)IEEE Multimedia (3 papers)Metals and Materials International (2 papers)Powder Technology (2 papers)
- Partner nations
- United StatesSouth KoreaUnited Kingdom
In The Last Decade
Youngmoo E. Kim
124 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 120
- Signal Processing 1.1k
- Computer Vision and Pattern Recognition 840
- Cognitive Neuroscience 710
- Music 106
- Ceramics and Composites 110
Countries citing papers authored by Youngmoo E. Kim
This map shows the geographic impact of Youngmoo E. Kim'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 Youngmoo E. Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Youngmoo E. Kim more than expected).
Fields of papers citing papers by Youngmoo E. Kim
This network shows the impact of papers produced by Youngmoo E. Kim. 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 Youngmoo E. Kim. The network helps show where Youngmoo E. Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Youngmoo E. Kim, 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 130 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Music emotion recognition: A state of the art review | 2010 | 271 |
| 2 | 2009 | 196 | |
| 3 | 2017 | 130 | |
| 4 | 2010 | 95 | |
| 5 | 2006 | 93 | |
| 6 | 2008 | 93 | |
| 7 | 2014 | 84 | |
| 8 | 2011 | 69 | |
| 9 | 2011 | 68 | |
| 10 | 2010 | 66 | |
| 11 | 2010 | 65 | |
| 12 | 2010 | 58 | |
| 13 | 2010 | 53 | |
| 14 | 2016 | 53 | |
| 15 | 2012 | 48 | |
| 16 | 2011 | 47 | |
| 17 | 2020 | 46 | |
| 18 | 2017 | 38 | |
| 19 | 2016 | 38 | |
| 20 | 2000 | 36 |
About Youngmoo E. Kim
Youngmoo E. Kim is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Music and Mechanical Engineering, having authored 130 papers that have together received 2.6k indexed citations. Recurring topics across this work include Music Technology and Sound Studies (62 papers), Music and Audio Processing (62 papers), Speech and Audio Processing (36 papers), Advanced materials and composites (21 papers), Neuroscience and Music Perception (17 papers), Powder Metallurgy Techniques and Materials (12 papers), Intermetallics and Advanced Alloy Properties (7 papers) and Injection Molding Process and Properties (7 papers). The work is most often cited by research in Signal Processing (1.1k citations), Computer Vision and Pattern Recognition (840 citations), Cognitive Neuroscience (710 citations), Music (106 citations) and Ceramics and Composites (110 citations). Youngmoo E. Kim has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Erik M. Schmidt, Douglas Turnbull, Eun‐Pyo Kim, Brandon G. Morton, Sung Ho Lee, Jeffrey J. Scott, Hasan Ayaz, Raymond Migneco, Andrew McPherson and Patrick Richardson. Their work appears in journals such as International Journal of Refractory Metals and Hard Materials, Journal of Alloys and Compounds, IEEE Multimedia, Metals and Materials International and Powder Technology.
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.