Christoph Wick
Impact in
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- Music and Audio Processing
- Speech and Audio Processing
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- Handwritten Text Recognition Techniques
- Image Processing and 3D Reconstruction
- Music Technology and Sound Studies
Papers in
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- Handwritten Text Recognition Techniques 8
- Music Technology and Sound Studies 2
- Generative Adversarial Networks and Image Synthesis 1
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- Natural Language Processing Techniques 2
- Anomaly Detection Techniques and Applications 2
- Co-authors
- Frank Puppe (7 shared papers)Haye Hinrichsen (1 shared paper)Kay-Michael Würzner (1 shared paper)Tobias Strauß (1 shared paper)Manfred Koch (1 shared paper)Peter Lutz (1 shared paper)
- Journals
- Applied Sciences (1 paper)Journal of New Music Research (1 paper)Computer Music Journal (1 paper)Informatik-Spektrum (1 paper)The Journal of Open Source Software (1 paper)
- Partner nations
- Germany
In The Last Decade
Christoph Wick
11 papers receiving 38 citations
Peers
Comparison fields: 5 of 20
- Signal Processing 16
- Computer Vision and Pattern Recognition 28
- Music 3
- Conservation 2
- Artificial Intelligence 16
Countries citing papers authored by Christoph Wick
This map shows the geographic impact of Christoph Wick'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 Christoph Wick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christoph Wick more than expected).
Fields of papers citing papers by Christoph Wick
This network shows the impact of papers produced by Christoph Wick. 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 Christoph Wick. The network helps show where Christoph Wick may publish in the future.
Co-authors
The 6 scholars most cited alongside Christoph Wick, 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 | 2018 | 12 | |
| 2 | 2021 | 8 | |
| 3 | 2018 | 6 | |
| 4 | 2019 | 4 | |
| 5 | 2016 | 3 | |
| 6 | Individual learning nurtures J.P. Morgan | 1993 | 2 |
| 7 | 2018 | 2 | |
| 8 | 2020 | 1 | |
| 9 | Der ISO 9241-Evaluator | 1996 | 1 |
| 10 | 2018 | 1 | |
| 11 | 2021 | 1 | |
| 12 | 2020 | 0 | |
| 13 | 2019 | 0 |
About Christoph Wick
Christoph Wick is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Computational Theory and Mathematics and Music, having authored 13 papers that have together received 41 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (8 papers), Music and Audio Processing (5 papers), Natural Language Processing Techniques (2 papers), Music Technology and Sound Studies (2 papers), Mathematics, Computing, and Information Processing (2 papers), Anomaly Detection Techniques and Applications (2 papers), Digital Humanities and Scholarship (1 paper) and Generative Adversarial Networks and Image Synthesis (1 paper). The work is most often cited by research in Signal Processing (16 citations), Computer Vision and Pattern Recognition (28 citations), Music (3 citations), Conservation (2 citations) and Artificial Intelligence (16 citations). Christoph Wick has collaborated with scholars based in Germany. Frequent co-authors include Frank Puppe, Haye Hinrichsen, Kay-Michael Würzner, Tobias Strauß, Manfred Koch and Peter Lutz. Their work appears in journals such as Applied Sciences, Journal of New Music Research, Computer Music Journal, Informatik-Spektrum and The Journal of Open Source Software.
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.