Matthias Janke
- Signal Processing top 5%
- Artificial Intelligence top 5%
- Human-Computer Interaction top 5%
- Cognitive Neuroscience top 10%
- Biomedical Engineering
- Co-authors
- Tanja SchultzMichael WandLorenz DienerKeigo NakamuraChristian HerffTim SchlippeFelix PutzeDominic Telaar
- Topics
- Speech and Audio Processing (17 papers)Speech Recognition and Synthesis (9 papers)Hand Gesture Recognition Systems (8 papers)
In The Last Decade
Matthias Janke
25 papers receiving 361 citations
Peers
Comparison fields: 5 of 42
- Signal Processing 235
- Artificial Intelligence 203
- Human-Computer Interaction 130
- Cognitive Neuroscience 117
- Biomedical Engineering 96
Countries citing papers authored by Matthias Janke
This map shows the geographic impact of Matthias Janke'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 Matthias Janke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthias Janke more than expected).
Fields of papers citing papers by Matthias Janke
This network shows the impact of papers produced by Matthias Janke. 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 Matthias Janke. The network helps show where Matthias Janke may publish in the future.
Co-authorship network of co-authors of Matthias Janke
This figure shows the co-authorship network connecting the top 25 collaborators of Matthias Janke. A scholar is included among the top collaborators of Matthias Janke 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 Matthias Janke. Matthias Janke is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 86 | |
| 2 | 14 | |
| 3 | 32 | |
| 4 | 3 | |
| 5 | 21 | |
| 6 | Spatial Artifact Detection for Multi-Channel EMG-Based Speech Recognition | 4 |
| 7 | 5 | |
| 8 | 13 | |
| 9 | 52 | |
| 10 | 12 | |
| 11 | 29 | |
| 12 | 8 | |
| 13 | 19 | |
| 14 | 5 | |
| 15 | Estimation of Fundamental Frequency from Surface Electromyographic Data | 6 |
| 16 | 9 | |
| 17 | 8 | |
| 18 | Spectral Energy Mapping for EMG-based Recognition of Silent Speech | 3 |
| 19 | A Spectral Mapping Method for EMG-based Recognition of Silent Speech. | 6 |
| 20 | 16 |
About Matthias Janke
Matthias Janke is a scholar working on Human-Computer Interaction, Signal Processing and Artificial Intelligence, having authored 25 papers that have together received 399 indexed citations. Recurring topics across this work include Speech and Audio Processing (17 papers), Speech Recognition and Synthesis (9 papers) and Hand Gesture Recognition Systems (8 papers). The work is most often cited by research in Human-Computer Interaction (130 citations), Signal Processing (235 citations) and Artificial Intelligence (203 citations). Matthias Janke has collaborated with scholars based in Germany, Thailand and Japan. Frequent co-authors include Tanja Schultz, Michael Wand, Lorenz Diener, Keigo Nakamura, Christian Herff, Tim Schlippe, Felix Putze, Dominic Telaar, Christoph Amma and Ngoc Thang Vu. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, IEEE/ACM Transactions on Audio Speech and Language Processing and PubMed.
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.