Holger Kirchhoff
Impact in
- Signal Processing top 5%
- Music and Audio Processing
- Speech and Audio Processing
- Blind Source Separation Techniques
-
- Music Technology and Sound Studies
- Video Analysis and Summarization
Papers in
-
- Music and Audio Processing 7
- Speech and Audio Processing 6
- Blind Source Separation Techniques 1
-
- Music Technology and Sound Studies 6
- Co-authors
- Simon Dixon (5 shared papers)Anssi Klapuri (5 shared papers)Emmanouil Benetos (3 shared papers)Dimitrios Giannoulis (2 shared papers)Alexander Lerch (1 shared paper)Simon Dixon (1 shared paper)
- Journals
- Journal of New Music Research (1 paper)Journal of Intelligent Information Systems (1 paper)Archiv der Mathematik (1 paper)Queen Mary Research Online (Queen Mary University of London) (1 paper)City Research Online (City University London) (1 paper)
- Partner nations
- United KingdomGermanyFinland
In The Last Decade
Holger Kirchhoff
7 papers receiving 222 citations
Peers
Comparison fields: 5 of 29
- Signal Processing 221
- Computer Vision and Pattern Recognition 192
- Music 14
- Cognitive Neuroscience 35
- Human-Computer Interaction 4
Countries citing papers authored by Holger Kirchhoff
This map shows the geographic impact of Holger Kirchhoff'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 Holger Kirchhoff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Holger Kirchhoff more than expected).
Fields of papers citing papers by Holger Kirchhoff
This network shows the impact of papers produced by Holger Kirchhoff. 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 Holger Kirchhoff. The network helps show where Holger Kirchhoff may publish in the future.
Co-authors
The 6 scholars most cited alongside Holger Kirchhoff, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 176 | |
| 2 | 2012 | 29 | |
| 3 | 2011 | 10 | |
| 4 | 2012 | 8 | |
| 5 | 2012 | 7 | |
| 6 | 2013 | 4 | |
| 7 | 1986 | 2 | |
| 8 | 2024 | 0 |
About Holger Kirchhoff
Holger Kirchhoff is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Music, Infectious Diseases and Organic Chemistry, having authored 8 papers that have together received 236 indexed citations. Recurring topics across this work include Music and Audio Processing (7 papers), Speech and Audio Processing (6 papers), Music Technology and Sound Studies (6 papers), Blind Source Separation Techniques (1 paper) and Diverse Musicological Studies (1 paper). The work is most often cited by research in Signal Processing (221 citations), Computer Vision and Pattern Recognition (192 citations), Music (14 citations), Cognitive Neuroscience (35 citations) and Human-Computer Interaction (4 citations). Holger Kirchhoff has collaborated with scholars based in United Kingdom, Germany and Finland. Frequent co-authors include Simon Dixon, Anssi Klapuri, Emmanouil Benetos, Dimitrios Giannoulis, Alexander Lerch and Simon Dixon. Their work appears in journals such as Journal of New Music Research, Journal of Intelligent Information Systems, Archiv der Mathematik, Queen Mary Research Online (Queen Mary University of London) and City Research Online (City University London).
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.