Janto Skowronek
- Signal Processing top 5%
- Computer Vision and Pattern Recognition top 5%
- Cognitive Neuroscience
- Artificial Intelligence
- Experimental and Cognitive Psychology
- Co-authors
- Martin F. McKinneyAki HärmäAlexander RaakeSteven van de ParSebastian MöllerSteve GöringRalph van DintherAlbertus C. den Brinker
- Topics
- Music and Audio Processing (6 papers)Speech and Audio Processing (5 papers)Image and Video Quality Assessment (4 papers)
- Partner nations
- GermanyNetherlandsFinland
In The Last Decade
Janto Skowronek
24 papers receiving 310 citations
Peers
Comparison fields: 5 of 49
- Signal Processing 215
- Computer Vision and Pattern Recognition 165
- Cognitive Neuroscience 74
- Artificial Intelligence 62
- Experimental and Cognitive Psychology 32
Countries citing papers authored by Janto Skowronek
This map shows the geographic impact of Janto Skowronek'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 Janto Skowronek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Janto Skowronek more than expected).
Fields of papers citing papers by Janto Skowronek
This network shows the impact of papers produced by Janto Skowronek. 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 Janto Skowronek. The network helps show where Janto Skowronek may publish in the future.
Co-authorship network of co-authors of Janto Skowronek
This figure shows the co-authorship network connecting the top 25 collaborators of Janto Skowronek. A scholar is included among the top collaborators of Janto Skowronek 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 Janto Skowronek. Janto Skowronek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 24 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 16 | |
| 5 | 1 | |
| 6 | Towards a MATLAB Toolbox for Imposing Speech Signal Impairments Following the P.TCA Schema | 2 |
| 7 | 2 | |
| 8 | 12 | |
| 9 | 8 | |
| 10 | 4 | |
| 11 | 2 | |
| 12 | 11 | |
| 13 | 1 | |
| 14 | 4 | |
| 15 | Prediction of Valence and Arousal from Music Features | 1 |
| 16 | 3 | |
| 17 | 40 | |
| 18 | 32 | |
| 19 | 144 | |
| 20 | 10 |
About Janto Skowronek
Janto Skowronek is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 24 papers that have together received 337 indexed citations. Recurring topics across this work include Music and Audio Processing (6 papers), Speech and Audio Processing (5 papers) and Image and Video Quality Assessment (4 papers). The work is most often cited by research in Signal Processing (215 citations), Computer Vision and Pattern Recognition (165 citations) and Human-Computer Interaction (27 citations). Janto Skowronek has collaborated with scholars based in Germany, Netherlands and Finland. Frequent co-authors include Martin F. McKinney, Aki Härmä, Alexander Raake, Steven van de Par, Sebastian Möller, Steve Göring, Ralph van Dinther, Albertus C. den Brinker, Simon N. B. Gunkel and Alexander Toet. Their work appears in journals such as IEEE Access, Speech Communication and Journal of the Audio Engineering Society.
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.