Andreas F. Ehmann
- Signal Processing top 1%
- Computer Vision and Pattern Recognition top 2%
- Cognitive Neuroscience top 10%
- Artificial Intelligence top 10%
- Music top 2%
- Co-authors
- J. Stephen DownieXiao HuMert BayKris WestEmília GómezDaniel P. W. EllisCyril LaurierSebastian Streich
- Topics
- Music and Audio Processing (24 papers)Music Technology and Sound Studies (18 papers)Speech and Audio Processing (10 papers)
- Journals
- IEEE Transactions on Audio Speech and Language ProcessingHAL (Le Centre pour la Communication Scientifique Directe)Oxford University Research Archive (ORA) (University of Oxford)
- Partner nations
- United StatesBulgariaUnited Kingdom
In The Last Decade
Andreas F. Ehmann
21 papers receiving 589 citations
Peers
Comparison fields: 5 of 46
- Signal Processing 600
- Computer Vision and Pattern Recognition 428
- Cognitive Neuroscience 153
- Artificial Intelligence 127
- Music 51
Countries citing papers authored by Andreas F. Ehmann
This map shows the geographic impact of Andreas F. Ehmann'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 Andreas F. Ehmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas F. Ehmann more than expected).
Fields of papers citing papers by Andreas F. Ehmann
This network shows the impact of papers produced by Andreas F. Ehmann. 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 Andreas F. Ehmann. The network helps show where Andreas F. Ehmann may publish in the future.
Co-authorship network of co-authors of Andreas F. Ehmann
This figure shows the co-authorship network connecting the top 25 collaborators of Andreas F. Ehmann. A scholar is included among the top collaborators of Andreas F. Ehmann 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 Andreas F. Ehmann. Andreas F. Ehmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 27 | |
| 5 | 12 | |
| 6 | 6 | |
| 7 | 11 | |
| 8 | 2 | |
| 9 | 14 | |
| 10 | LYRIC TEXT MINING IN MUSIC MOOD CLASSIFICATION | 94 |
| 11 | The 2007 MIREX Audio Mood Classification Task: Lessons Learned | 110 |
| 12 | 12 | |
| 13 | 28 | |
| 14 | 129 | |
| 15 | 1 | |
| 16 | 5 | |
| 17 | 13 | |
| 18 | MINING MUSIC REVIEWS: PROMISING PRELIMINARY RESULTS | 27 |
| 19 | 7 | |
| 20 | 6 |
About Andreas F. Ehmann
Andreas F. Ehmann is a scholar working on Signal Processing, Music and Computer Vision and Pattern Recognition, having authored 24 papers that have together received 661 indexed citations. Recurring topics across this work include Music and Audio Processing (24 papers), Music Technology and Sound Studies (18 papers) and Speech and Audio Processing (10 papers). The work is most often cited by research in Signal Processing (600 citations), Computer Vision and Pattern Recognition (428 citations) and Music (51 citations). Andreas F. Ehmann has collaborated with scholars based in United States, Bulgaria and United Kingdom. Frequent co-authors include J. Stephen Downie, Xiao Hu, Mert Bay, Kris West, Emília Gómez, Daniel P. W. Ellis, Cyril Laurier, Sebastian Streich, Graham E. Poliner and Emmanuel Vincent. Their work appears in journals such as IEEE Transactions on Audio Speech and Language Processing, HAL (Le Centre pour la Communication Scientifique Directe) and Oxford University Research Archive (ORA) (University of Oxford).
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.