Markus Kächele
Impact in
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- Emotion and Mood Recognition
- Signal Processing top 10%
- Speech and Audio Processing
- Music and Audio Processing
Papers in
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- Emotion and Mood Recognition 12
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- Neural Networks and Applications 2
- Co-authors
- Friedhelm Schwenker (20 shared papers)Günther Palm (8 shared papers)Patrick Thiam (7 shared papers)Martin Schels (8 shared papers)Mohammadreza Amirian (4 shared papers)Michael Glodek (2 shared papers)Steffen Walter (2 shared papers)Philipp Werner (1 shared paper)
- Journals
- IEEE Journal of Selected Topics in Signal Processing (1 paper)Computer Graphics Forum (1 paper)Evolving Systems (1 paper)Journal on Multimodal User Interfaces (2 papers)International Conference on Machine Learning (1 paper)
- Partner nations
- GermanyUnited StatesBrazil
In The Last Decade
Markus Kächele
23 papers receiving 367 citations
Peers
Comparison fields: 5 of 58
- Experimental and Cognitive Psychology 217
- Signal Processing 64
- Cognitive Neuroscience 108
- Computer Vision and Pattern Recognition 97
- Human-Computer Interaction 25
Countries citing papers authored by Markus Kächele
This map shows the geographic impact of Markus Kächele'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 Markus Kächele with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Kächele more than expected).
Fields of papers citing papers by Markus Kächele
This network shows the impact of papers produced by Markus Kächele. 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 Markus Kächele. The network helps show where Markus Kächele may publish in the future.
Co-authors
The 20 scholars most cited alongside Markus Kächele, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 63 | |
| 2 | 2016 | 60 | |
| 3 | 2014 | 51 | |
| 4 | 2014 | 32 | |
| 5 | 2015 | 24 | |
| 6 | 2013 | 21 | |
| 7 | Speeding up k-means by approximating Euclidean distances via block vectors | 2016 | 18 |
| 8 | 2015 | 16 | |
| 9 | 2013 | 15 | |
| 10 | 2016 | 14 | |
| 11 | 2014 | 12 | |
| 12 | 2016 | 10 | |
| 13 | 2015 | 10 | |
| 14 | 2013 | 9 | |
| 15 | 2017 | 9 | |
| 16 | 2014 | 6 | |
| 17 | 2016 | 5 | |
| 18 | 2014 | 4 | |
| 19 | 2015 | 3 | |
| 20 | SMO Lattices for the Parallel Training of Support Vector Machines | 2015 | 2 |
About Markus Kächele
Markus Kächele is a scholar working on Experimental and Cognitive Psychology, Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing and Biomedical Engineering, having authored 23 papers that have together received 388 indexed citations. Recurring topics across this work include Emotion and Mood Recognition (12 papers), Music and Audio Processing (5 papers), Speech and Audio Processing (5 papers), Face and Expression Recognition (4 papers), EEG and Brain-Computer Interfaces (3 papers), Advanced Vision and Imaging (3 papers), Gaze Tracking and Assistive Technology (2 papers) and Neural Networks and Applications (2 papers). The work is most often cited by research in Experimental and Cognitive Psychology (217 citations), Signal Processing (64 citations), Cognitive Neuroscience (108 citations), Computer Vision and Pattern Recognition (97 citations) and Human-Computer Interaction (25 citations). Markus Kächele has collaborated with scholars based in Germany, United States and Brazil. Frequent co-authors include Friedhelm Schwenker, Günther Palm, Patrick Thiam, Martin Schels, Mohammadreza Amirian, Michael Glodek, Steffen Walter, Philipp Werner, Thomas Bühler and Szymon Rusinkiewicz. Their work appears in journals such as IEEE Journal of Selected Topics in Signal Processing, Computer Graphics Forum, Evolving Systems, Journal on Multimodal User Interfaces and International Conference on Machine Learning.
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.