Jörn Anemüller
- Signal Processing top 1%
- Cognitive Neuroscience top 5%
- Artificial Intelligence top 5%
- Computational Mechanics top 5%
- Speech and Hearing top 5%
- Co-authors
- Birger KollmeierHendrik KayserScott MakeigTerrence J. SejnowskiStephan D. EwertVolker HohmannThomas RohdenburgStefan Goetze
- Topics
- Speech and Audio Processing (33 papers)Music and Audio Processing (14 papers)Blind Source Separation Techniques (13 papers)
- Partner nations
- GermanyUnited StatesBelgium
In The Last Decade
Jörn Anemüller
43 papers receiving 873 citations
Peers
Comparison fields: 5 of 59
- Signal Processing 750
- Cognitive Neuroscience 410
- Artificial Intelligence 225
- Computational Mechanics 196
- Speech and Hearing 79
Countries citing papers authored by Jörn Anemüller
This map shows the geographic impact of Jörn Anemüller'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 Jörn Anemüller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jörn Anemüller more than expected).
Fields of papers citing papers by Jörn Anemüller
This network shows the impact of papers produced by Jörn Anemüller. 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 Jörn Anemüller. The network helps show where Jörn Anemüller may publish in the future.
Co-authorship network of co-authors of Jörn Anemüller
This figure shows the co-authorship network connecting the top 25 collaborators of Jörn Anemüller. A scholar is included among the top collaborators of Jörn Anemüller 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 Jörn Anemüller. Jörn Anemüller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 17 | |
| 5 | Probabilistic Spatial Filter Estimation for Multi-Channel Signal Enhancement in Hearing Aids. | 2 |
| 6 | 17 | |
| 7 | 6 | |
| 8 | 13 | |
| 9 | 5 | |
| 10 | 23 | |
| 11 | 49 | |
| 12 | 2 | |
| 13 | 3 | |
| 14 | 3 | |
| 15 | Predictability of STRFs in auditory cortex neurons depends on stimulus class. | 5 |
| 16 | 1 | |
| 17 | 20 | |
| 18 | 153 | |
| 19 | 27 | |
| 20 | Correlated modulation: a criterion for blind source separation | 2 |
About Jörn Anemüller
Jörn Anemüller is a scholar working on Signal Processing, Developmental Biology and Cognitive Neuroscience, having authored 45 papers that have together received 934 indexed citations. Recurring topics across this work include Speech and Audio Processing (33 papers), Music and Audio Processing (14 papers) and Blind Source Separation Techniques (13 papers). The work is most often cited by research in Signal Processing (750 citations), Cognitive Neuroscience (410 citations) and Speech and Hearing (79 citations). Jörn Anemüller has collaborated with scholars based in Germany, United States and Belgium. Frequent co-authors include Birger Kollmeier, Hendrik Kayser, Scott Makeig, Terrence J. Sejnowski, Stephan D. Ewert, Volker Hohmann, Thomas Rohdenburg, Stefan Goetze, Niko Moritz and Bernd T. Meyer. Their work appears in journals such as PLoS ONE, The Journal of the Acoustical Society of America and Neurocomputing.
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.