Michael Glodek
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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- Neural Networks and Applications 3
- Anomaly Detection Techniques and Applications 3
- Bayesian Modeling and Causal Inference 2
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- Speech and Audio Processing 6
- Music and Audio Processing 4
- Co-authors
- Friedhelm Schwenker (16 shared papers)Martin Schels (9 shared papers)Günther Palm (10 shared papers)Stefan Scherer (5 shared papers)Markus Kächele (2 shared papers)Nick Campbell (1 shared paper)Steffen Walter (1 shared paper)Georg Layher (2 shared papers)
In The Last Decade
Michael Glodek
16 papers receiving 228 citations
Peers
Comparison fields: 5 of 52
- Experimental and Cognitive Psychology 108
- Signal Processing 68
- Human-Computer Interaction 26
- Artificial Intelligence 127
- Computer Vision and Pattern Recognition 61
Countries citing papers authored by Michael Glodek
This map shows the geographic impact of Michael Glodek'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 Michael Glodek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Glodek more than expected).
Fields of papers citing papers by Michael Glodek
This network shows the impact of papers produced by Michael Glodek. 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 Michael Glodek. The network helps show where Michael Glodek may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Glodek, 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 | 2014 | 51 | |
| 2 | 2012 | 30 | |
| 3 | 2012 | 27 | |
| 4 | 2012 | 21 | |
| 5 | 2013 | 21 | |
| 6 | 2015 | 21 | |
| 7 | 2011 | 14 | |
| 8 | 2011 | 12 | |
| 9 | 2012 | 12 | |
| 10 | 2011 | 11 | |
| 11 | 2013 | 9 | |
| 12 | 2014 | 5 | |
| 13 | 2013 | 3 | |
| 14 | 2013 | 3 | |
| 15 | 2013 | 2 | |
| 16 | 2013 | 1 | |
| 17 | 2014 | 1 |
About Michael Glodek
Michael Glodek is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Cognitive Neuroscience, having authored 17 papers that have together received 244 indexed citations. Recurring topics across this work include Speech and Audio Processing (6 papers), Face and Expression Recognition (5 papers), Music and Audio Processing (4 papers), Video Surveillance and Tracking Methods (3 papers), Neural Networks and Applications (3 papers), Emotion and Mood Recognition (3 papers), Anomaly Detection Techniques and Applications (3 papers) and Bayesian Modeling and Causal Inference (2 papers). The work is most often cited by research in Experimental and Cognitive Psychology (108 citations), Signal Processing (68 citations), Human-Computer Interaction (26 citations), Artificial Intelligence (127 citations) and Computer Vision and Pattern Recognition (61 citations). Michael Glodek has collaborated with scholars based in Germany, Italy and Ireland. Frequent co-authors include Friedhelm Schwenker, Martin Schels, Günther Palm, Stefan Scherer, Markus Kächele, Nick Campbell, Steffen Walter, Georg Layher, Stephan Tschechne and Tobias Brosch. Their work appears in journals such as ACM Transactions on Interactive Intelligent Systems, Neurocomputing, Journal on Multimodal User Interfaces, Computational Statistics and Biologically Inspired Cognitive Architectures.
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.