Klaus Frieler
- Cognitive Neuroscience top 5%
- Signal Processing top 5%
- Computer Vision and Pattern Recognition top 10%
- Music top 1%
- Experimental and Cognitive Psychology top 10%
- Co-authors
- Daniel MüllensiefenTimo FischingerElke B. LangeKelly JakubowskiMartin PfleidererSimon DixonClemens WöllnerMatthias Mauch
- Topics
- Music and Audio Processing (27 papers)Neuroscience and Music Perception (26 papers)Music Technology and Sound Studies (23 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEPhilosophical Transactions of the Royal Society B Biological Sciences
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Klaus Frieler
43 papers receiving 373 citations
Peers
Comparison fields: 5 of 50
- Cognitive Neuroscience 301
- Signal Processing 205
- Computer Vision and Pattern Recognition 140
- Music 101
- Experimental and Cognitive Psychology 88
Countries citing papers authored by Klaus Frieler
This map shows the geographic impact of Klaus Frieler'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 Klaus Frieler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Klaus Frieler more than expected).
Fields of papers citing papers by Klaus Frieler
This network shows the impact of papers produced by Klaus Frieler. 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 Klaus Frieler. The network helps show where Klaus Frieler may publish in the future.
Co-authorship network of co-authors of Klaus Frieler
This figure shows the co-authorship network connecting the top 25 collaborators of Klaus Frieler. A scholar is included among the top collaborators of Klaus Frieler 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 Klaus Frieler. Klaus Frieler 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 | 2 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 14 | |
| 10 | 12 | |
| 11 | 7 | |
| 12 | 9 | |
| 13 | 24 | |
| 14 | 6 | |
| 15 | Deep Learning for Jazz Walking Bass Transcription | 3 |
| 16 | 1 | |
| 17 | The perception and recognition of Wagnerian leitmotifs in multimodal conditions | 1 |
| 18 | 7 | |
| 19 | 22 | |
| 20 | Cognitive Adequacy in the Measurement of Melodic Similarity: Algorithmic vs. Human Judgments | 32 |
About Klaus Frieler
Klaus Frieler is a scholar working on Music, Signal Processing and Cognitive Neuroscience, having authored 45 papers that have together received 398 indexed citations. Recurring topics across this work include Music and Audio Processing (27 papers), Neuroscience and Music Perception (26 papers) and Music Technology and Sound Studies (23 papers). The work is most often cited by research in Music (101 citations), Signal Processing (205 citations) and Cognitive Neuroscience (301 citations). Klaus Frieler has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Daniel Müllensiefen, Timo Fischinger, Elke B. Lange, Kelly Jakubowski, Martin Pfleiderer, Simon Dixon, Clemens Wöllner, Matthias Mauch, Jakob Abeßer and Jukka Louhivuori. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Philosophical Transactions of the Royal Society B Biological Sciences.
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.