Sandra Ottl
Impact in
- Signal Processing top 5%
- Music and Audio Processing
- Speech and Audio Processing
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- Emotion and Mood Recognition
Papers in
-
- Music and Audio Processing 11
- Speech and Audio Processing 7
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- Speech Recognition and Synthesis 3
- Sentiment Analysis and Opinion Mining 2
- Co-authors
- Björn W. Schuller (20 shared papers)Shahin Amiriparian (19 shared papers)Maurice Gerczuk (18 shared papers)Nicholas Cummins (6 shared papers)Alice Baird (7 shared papers)Sergey Pugachevskiy (3 shared papers)Michael Freitag (1 shared paper)Lukas Stappen (4 shared papers)
- Journals
- iScience (1 paper)IEEE Transactions on Affective Computing (1 paper)EURASIP Journal on Audio Speech and Music Processing (1 paper)IEEE Transactions on Games (1 paper)Frontiers in Artificial Intelligence (1 paper)
- Partner nations
- GermanyUnited Kingdom
In The Last Decade
Sandra Ottl
20 papers receiving 459 citations
Peers
Comparison fields: 5 of 80
- Signal Processing 207
- Experimental and Cognitive Psychology 191
- Artificial Intelligence 192
- Social Psychology 77
- Computer Vision and Pattern Recognition 74
Countries citing papers authored by Sandra Ottl
This map shows the geographic impact of Sandra Ottl'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 Sandra Ottl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandra Ottl more than expected).
Fields of papers citing papers by Sandra Ottl
This network shows the impact of papers produced by Sandra Ottl. 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 Sandra Ottl. The network helps show where Sandra Ottl may publish in the future.
Co-authors
The 25 scholars most cited alongside Sandra Ottl, 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 | 2017 | 206 | |
| 2 | 2021 | 39 | |
| 3 | 2022 | 27 | |
| 4 | 2017 | 27 | |
| 5 | 2018 | 27 | |
| 6 | 2021 | 23 | |
| 7 | 2018 | 21 | |
| 8 | 2022 | 21 | |
| 9 | 2020 | 15 | |
| 10 | 2020 | 15 | |
| 11 | 2019 | 14 | |
| 12 | 2019 | 13 | |
| 13 | 2018 | 12 | |
| 14 | 2023 | 7 | |
| 15 | Emotion and themes recognition in music utilising convolutional and recurrent neural networks | 2019 | 4 |
| 16 | 2022 | 4 | |
| 17 | 2022 | 3 | |
| 18 | 2020 | 2 | |
| 19 | 2022 | 2 | |
| 20 | 2022 | 1 |
About Sandra Ottl
Sandra Ottl is a scholar working on Signal Processing, Artificial Intelligence, Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Cognitive Neuroscience, having authored 20 papers that have together received 483 indexed citations. Recurring topics across this work include Music and Audio Processing (11 papers), Speech and Audio Processing (7 papers), Emotion and Mood Recognition (5 papers), Speech Recognition and Synthesis (3 papers), Sentiment Analysis and Opinion Mining (2 papers), Voice and Speech Disorders (2 papers), Neuroscience and Music Perception (2 papers) and Music Technology and Sound Studies (2 papers). The work is most often cited by research in Signal Processing (207 citations), Experimental and Cognitive Psychology (191 citations), Artificial Intelligence (192 citations), Social Psychology (77 citations) and Computer Vision and Pattern Recognition (74 citations). Sandra Ottl has collaborated with scholars based in Germany and United Kingdom. Frequent co-authors include Björn W. Schuller, Shahin Amiriparian, Maurice Gerczuk, Nicholas Cummins, Alice Baird, Sergey Pugachevskiy, Michael Freitag, Lukas Stappen, Maximilian Schmitt and Andreas Triantafyllopoulos. Their work appears in journals such as iScience, IEEE Transactions on Affective Computing, EURASIP Journal on Audio Speech and Music Processing, IEEE Transactions on Games and Frontiers in Artificial Intelligence.
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.