Andreas F. Ehmann

1.2k total citations
24 papers, 661 citations indexed

About

Andreas F. Ehmann is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Andreas F. Ehmann has authored 24 papers receiving a total of 661 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Signal Processing, 18 papers in Computer Vision and Pattern Recognition and 6 papers in Cognitive Neuroscience. Recurrent topics in Andreas F. Ehmann's work include Music and Audio Processing (24 papers), Music Technology and Sound Studies (18 papers) and Speech and Audio Processing (10 papers). Andreas F. Ehmann is often cited by papers focused on Music and Audio Processing (24 papers), Music Technology and Sound Studies (18 papers) and Speech and Audio Processing (10 papers). Andreas F. Ehmann collaborates with scholars based in United States, Bulgaria and United Kingdom. Andreas F. Ehmann's co-authors include J. Stephen Downie, Xiao Hu, Mert Bay, Kris West, Graham E. Poliner, Emília Gómez, Daniel P. W. Ellis, Sebastian Streich, Cyril Laurier and Emmanuel Vincent and has published in prestigious 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).

In The Last Decade

Andreas F. Ehmann

21 papers receiving 589 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Andreas F. Ehmann United States 12 600 428 153 127 51 24 661
Luís Gustavo Martins Portugal 8 383 0.6× 319 0.7× 121 0.8× 102 0.8× 39 0.8× 17 518
Adam Berenzweig United States 9 547 0.9× 418 1.0× 89 0.6× 151 1.2× 30 0.6× 9 631
Christophe Rhodes United Kingdom 12 654 1.1× 540 1.3× 177 1.2× 110 0.9× 64 1.3× 30 726
Frederic Font Spain 9 346 0.6× 192 0.4× 72 0.5× 125 1.0× 22 0.4× 23 464
Mert Bay United States 8 316 0.5× 204 0.5× 90 0.6× 70 0.6× 29 0.6× 13 347
Samer Abdallah United Kingdom 12 421 0.7× 296 0.7× 168 1.1× 132 1.0× 62 1.2× 26 570
Graham E. Poliner United States 8 610 1.0× 554 1.3× 71 0.5× 132 1.0× 37 0.7× 9 718
Tim Pohle Austria 16 614 1.0× 563 1.3× 92 0.6× 177 1.4× 28 0.5× 40 708
Barry Vercoe United States 14 562 0.9× 519 1.2× 203 1.3× 78 0.6× 30 0.6× 29 660
Nicolas Wack Spain 10 477 0.8× 373 0.9× 116 0.8× 65 0.5× 41 0.8× 20 536

Countries citing papers authored by Andreas F. Ehmann

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Ehmann, Andreas F., et al.. (2024). Negative Feedback for Music Personalization. 195–200.
2.
Ehmann, Andreas F., et al.. (2023). Station and Track Attribute-Aware Music Personalization. 1031–1035. 1 indexed citations
3.
McCallum, Matthew, et al.. (2022). A Novel 1D State Space for Efficient Music Rhythmic Analysis. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 421–425. 2 indexed citations
4.
Pons, Jordi, et al.. (2018). End-to-end Learning for Music Audio Tagging at Scale. International Symposium/Conference on Music Information Retrieval. 637–644. 27 indexed citations
5.
Ehmann, Andreas F., et al.. (2015). Modeling Genre With The Music Genome Project: Comparing Human-Labeled Attributes And Audio Features.. Zenodo (CERN European Organization for Nuclear Research). 31–37. 12 indexed citations
6.
Ehmann, Andreas F., et al.. (2015). Modeling musical rhythmatscale with the music Genome project. 1–5. 6 indexed citations
7.
Bay, Mert, Andreas F. Ehmann, James W. Beauchamp, Paris Smaragdis, & J. Stephen Downie. (2012). Second Fiddle Is Important Too: Pitch Tracking Individual Voices In Polyphonic Music.. Zenodo (CERN European Organization for Nuclear Research). 319–324. 11 indexed citations
8.
Ehmann, Andreas F., Mert Bay, J. Stephen Downie, Ichiro Fujinaga, & David De Roure. (2011). Exploiting music structures for digital libraries. 479–480. 2 indexed citations
9.
West, Kris, Amit Kumar, Guojun Zhu, et al.. (2010). The Networked Environment for Music Analysis (NEMA). 314–317. 14 indexed citations
10.
Hu, Xiao, J. Stephen Downie, & Andreas F. Ehmann. (2009). LYRIC TEXT MINING IN MUSIC MOOD CLASSIFICATION. International Symposium/Conference on Music Information Retrieval. 411–416. 94 indexed citations
11.
Bay, Mert, Andreas F. Ehmann, & J. Stephen Downie. (2009). Evaluation Of Multiple-F0 Estimation And Tracking Systems.. Zenodo (CERN European Organization for Nuclear Research). 315–320. 79 indexed citations
12.
Hu, Xiao, J. Stephen Downie, Cyril Laurier, Mert Bay, & Andreas F. Ehmann. (2008). The 2007 MIREX Audio Mood Classification Task: Lessons Learned. International Symposium/Conference on Music Information Retrieval. 462–467. 110 indexed citations
13.
Jones, M. Cameron, J. Stephen Downie, & Andreas F. Ehmann. (2007). Human Similarity Judgments: Implications For The Design Of Formal Evaluations.. Zenodo (CERN European Organization for Nuclear Research). 539–542. 28 indexed citations
14.
Poliner, Graham E., et al.. (2007). Melody Transcription From Music Audio: Approaches and Evaluation. IEEE Transactions on Audio Speech and Language Processing. 15(4). 1247–1256. 129 indexed citations
15.
Jones, M. Cameron, Mert Bay, J. Stephen Downie, & Andreas F. Ehmann. (2007). A "do-it-yourself" evaluation service for music information retrieval systems. 913–913. 1 indexed citations
16.
Hu, Xiao, J. Stephen Downie, & Andreas F. Ehmann. (2006). Exploiting recommended usage metadata: Exploratory analyses. International Symposium/Conference on Music Information Retrieval. 7(2-3). 19–22. 13 indexed citations
17.
Hu, Xiao, J. Stephen Downie, Kris West, & Andreas F. Ehmann. (2005). MINING MUSIC REVIEWS: PROMISING PRELIMINARY RESULTS. International Symposium/Conference on Music Information Retrieval. 536–539. 27 indexed citations
18.
Downie, J. Stephen, Andreas F. Ehmann, & David Tcheng. (2005). Real-time genre classification for music digital libraries. 377–377. 3 indexed citations
19.
Downie, J. Stephen, Andreas F. Ehmann, & Xiao Hu. (2005). Music-to-knowledge (M2K). 376–376. 7 indexed citations
20.
Downie, J. Stephen, Andreas F. Ehmann, & David Tcheng. (2005). Music-to-knowledge (M2K). 676–676. 6 indexed citations

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.

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