Peter Knees
- Signal Processing top 0.5%
- Music and Audio Processing 78
- Speech and Audio Processing 15
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- Music Technology and Sound Studies 56
- Video Analysis and Summarization 16
- Music top 2%
- Artificial Intelligence top 5%
- Advanced Text Analysis Techniques 11
- Speech Recognition and Synthesis 7
- Cognitive Neuroscience top 10%
- Neuroscience and Music Perception 13
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- Recommender Systems and Techniques 10
- Co-authors
- Markus SchedlGerhard WidmerTim PohleElias PampalkDominik SchnitzerRichard VoglKristina AndersenYashar Deldjoo
- Journals
- ACM Transactions on Information Systems (1 paper)Electronics (1 paper)International Journal of Multimedia Information Retrieval (1 paper)
- Partner nations
- AustriaItalyUnited States
In The Last Decade
Peter Knees
88 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 71
- Signal Processing 943
- Computer Vision and Pattern Recognition 856
- Music 76
- Artificial Intelligence 339
- Cognitive Neuroscience 191
Countries citing papers authored by Peter Knees
This map shows the geographic impact of Peter Knees'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 Peter Knees with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Knees more than expected).
Fields of papers citing papers by Peter Knees
This network shows the impact of papers produced by Peter Knees. 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 Peter Knees. The network helps show where Peter Knees may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Peter Knees, 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 | 2025 | 0 | |
| 2 | 2024 | 26 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 5 | |
| 5 | 2021 | 4 | |
| 6 | 2020 | 11 | |
| 7 | 2020 | 11 | |
| 8 | 2017 | 3 | |
| 9 | 2017 | 25 | |
| 10 | The GiantSteps project : a second-year intermediate report | 2016 | 1 |
| 11 | 2016 | 10 | |
| 12 | 2016 | 15 | |
| 13 | 2015 | 17 | |
| 14 | 2015 | 6 | |
| 15 | Proceedings of the first international workshop on Social media retrieval and analysis | 2014 | 1 |
| 16 | 2014 | 3 | |
| 17 | ARF @ MediaEval 2012: Multimodal Video Classification | 2012 | 5 |
| 18 | 2008 | 12 | |
| 19 | 2008 | 4 | |
| 20 | 2007 | 19 |
About Peter Knees
Peter Knees is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Music, Human-Computer Interaction and Artificial Intelligence, having authored 92 papers that have together received 1.2k indexed citations. Recurring topics across this work include Music and Audio Processing (78 papers), Music Technology and Sound Studies (56 papers), Video Analysis and Summarization (16 papers), Speech and Audio Processing (15 papers), Neuroscience and Music Perception (13 papers), Advanced Text Analysis Techniques (11 papers), Recommender Systems and Techniques (10 papers) and Speech Recognition and Synthesis (7 papers). The work is most often cited by research in Signal Processing (943 citations), Computer Vision and Pattern Recognition (856 citations), Music (76 citations), Artificial Intelligence (339 citations) and Cognitive Neuroscience (191 citations). Peter Knees has collaborated with scholars based in Austria, Italy and United States. Frequent co-authors include Markus Schedl, Gerhard Widmer, Tim Pohle, Elias Pampalk, Dominik Schnitzer, Richard Vogl, Kristina Andersen, Yashar Deldjoo, Matthias Dorfer and Sebastian Böck. Their work appears in journals such as ACM Transactions on Information Systems, Electronics, International Journal of Multimedia Information Retrieval, ACM Transactions on Intelligent Systems and Technology and Computer Science Review.
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.