Rainer Typke
Impact in
- Signal Processing top 2%
- Music and Audio Processing
- Speech and Audio Processing
- Time Series Analysis and Forecasting
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- Music Technology and Sound Studies
- Video Analysis and Summarization
- Advanced Image and Video Retrieval Techniques
- Image Retrieval and Classification Techniques
Papers in
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- Music and Audio Processing 11
- Data Management and Algorithms 3
- Time Series Analysis and Forecasting 3
- Speech and Audio Processing 2
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- Music Technology and Sound Studies 8
- Video Analysis and Summarization 2
- Advanced Image and Video Retrieval Techniques 2
- Co-authors
- Remco C. Veltkamp (9 shared papers)Frans Wiering (8 shared papers)Lutz Prechelt (1 shared paper)Panos Giannopoulos (1 shared paper)René van Oostrum (1 shared paper)
- Journals
- Musicae Scientiae (2 papers)ACM Transactions on Computer-Human Interaction (1 paper)Journal of Digital Information Management (1 paper)Data Archiving and Networked Services (DANS) (3 papers)UCL Discovery (University College London) (1 paper)
- Partner nations
- NetherlandsAustriaGermany
In The Last Decade
Rainer Typke
12 papers receiving 357 citations
Peers
Comparison fields: 5 of 40
- Signal Processing 365
- Computer Vision and Pattern Recognition 337
- Music 33
- Cognitive Neuroscience 74
- Developmental Biology 5
Countries citing papers authored by Rainer Typke
This map shows the geographic impact of Rainer Typke'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 Rainer Typke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rainer Typke more than expected).
Fields of papers citing papers by Rainer Typke
This network shows the impact of papers produced by Rainer Typke. 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 Rainer Typke. The network helps show where Rainer Typke may publish in the future.
Co-authors
The 5 scholars most cited alongside Rainer Typke, 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 | 2005 | 140 | |
| 2 | 2003 | 77 | |
| 3 | 2001 | 58 | |
| 4 | 2004 | 33 | |
| 5 | A Ground Truth For Half A Million Musical Incipits | 2005 | 31 |
| 6 | 2007 | 26 | |
| 7 | 2006 | 23 | |
| 8 | 2004 | 11 | |
| 9 | 2006 | 8 | |
| 10 | Evaluating the Earth Mover's Distance for measuring symbolic melodic similarity | 2005 | 5 |
| 11 | 2008 | 4 | |
| 12 | 2009 | 1 |
About Rainer Typke
Rainer Typke is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Information Systems and Artificial Intelligence, having authored 12 papers that have together received 417 indexed citations. Recurring topics across this work include Music and Audio Processing (11 papers), Music Technology and Sound Studies (8 papers), Data Management and Algorithms (3 papers), Time Series Analysis and Forecasting (3 papers), Neuroscience and Music Perception (3 papers), Video Analysis and Summarization (2 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Speech and Audio Processing (2 papers). The work is most often cited by research in Signal Processing (365 citations), Computer Vision and Pattern Recognition (337 citations), Music (33 citations), Cognitive Neuroscience (74 citations) and Developmental Biology (5 citations). Rainer Typke has collaborated with scholars based in Netherlands, Austria and Germany. Frequent co-authors include Remco C. Veltkamp, Frans Wiering, Lutz Prechelt, Panos Giannopoulos and René van Oostrum. Their work appears in journals such as Musicae Scientiae, ACM Transactions on Computer-Human Interaction, Journal of Digital Information Management, Data Archiving and Networked Services (DANS) and UCL Discovery (University College 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.