Dagmar Schuller
Impact in
- Signal Processing top 5%
- Speech and Audio Processing
- Music and Audio Processing
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- Emotion and Mood Recognition
Papers in
-
- Music and Audio Processing 6
- Speech and Audio Processing 4
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- Emotion and Mood Recognition 6
- Co-authors
- Björn Wolfgang Schuller (12 shared papers)Gerhard Rigoll (1 shared paper)Florian Eyben (5 shared papers)Kun Qian (1 shared paper)Juan Liu (1 shared paper)Xiao Li (1 shared paper)Huaiyuan Zheng (1 shared paper)Thomas H. Hess (2 shared papers)
- Journals
- IEEE Transactions on Intelligent Transportation Systems (1 paper)Emotion Review (1 paper)Journal of New Music Research (1 paper)Journal of Nonverbal Behavior (1 paper)Computer (1 paper)
- Partner nations
- GermanyUnited KingdomChina
In The Last Decade
Dagmar Schuller
14 papers receiving 344 citations
Peers
Comparison fields: 5 of 73
- Signal Processing 126
- Experimental and Cognitive Psychology 101
- Health Informatics 11
- Artificial Intelligence 133
- Computer Vision and Pattern Recognition 63
Countries citing papers authored by Dagmar Schuller
This map shows the geographic impact of Dagmar Schuller'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 Dagmar Schuller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dagmar Schuller more than expected).
Fields of papers citing papers by Dagmar Schuller
This network shows the impact of papers produced by Dagmar Schuller. 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 Dagmar Schuller. The network helps show where Dagmar Schuller may publish in the future.
Co-authors
The 25 scholars most cited alongside Dagmar Schuller, 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 | 96 | |
| 2 | 2021 | 54 | |
| 3 | 2015 | 52 | |
| 4 | 2010 | 50 | |
| 5 | 2020 | 40 | |
| 6 | 2019 | 35 | |
| 7 | 2005 | 12 | |
| 8 | 2015 | 10 | |
| 9 | 2020 | 6 | |
| 10 | 2023 | 6 | |
| 11 | 2017 | 5 | |
| 12 | 2019 | 5 | |
| 13 | 2021 | 4 | |
| 14 | 2023 | 2 | |
| 15 | 2012 | 0 |
About Dagmar Schuller
Dagmar Schuller is a scholar working on Signal Processing, Experimental and Cognitive Psychology, Cognitive Neuroscience, Management Information Systems and Social Psychology, having authored 15 papers that have together received 377 indexed citations. Recurring topics across this work include Emotion and Mood Recognition (6 papers), Music and Audio Processing (6 papers), Speech and Audio Processing (4 papers), COVID-19 diagnosis using AI (2 papers), Corporate Governance and Management (2 papers), Speech Recognition and Synthesis (2 papers), Business Process Modeling and Analysis (2 papers) and Neuroscience and Music Perception (2 papers). The work is most often cited by research in Signal Processing (126 citations), Experimental and Cognitive Psychology (101 citations), Health Informatics (11 citations), Artificial Intelligence (133 citations) and Computer Vision and Pattern Recognition (63 citations). Dagmar Schuller has collaborated with scholars based in Germany, United Kingdom and China. Frequent co-authors include Björn Wolfgang Schuller, Gerhard Rigoll, Florian Eyben, Kun Qian, Juan Liu, Xiao Li, Huaiyuan Zheng, Thomas H. Hess, Zixing Zhang and Eunmi Oh. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, Emotion Review, Journal of New Music Research, Journal of Nonverbal Behavior and Computer.
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.