Björn W. Schuller
- Signal Processing top 0.01%
- Music and Audio Processing 354
- Speech and Audio Processing 353
- Experimental and Cognitive Psychology top 0.01%
- Emotion and Mood Recognition 303
- Artificial Intelligence top 0.01%
- Speech Recognition and Synthesis 281
- Sentiment Analysis and Opinion Mining 60
- Speech and dialogue systems 47
- Computer Vision and Pattern Recognition top 0.05%
- Music Technology and Sound Studies 50
- Pharmacy top 0.05%
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- Phonocardiography and Auscultation Techniques 46
- Co-authors
- Florian EybenMartin WöllmerGerhard RigollAnton BatlinerFelix WeningerStefan SteidlZixing ZhangM. Lang
- Journals
- SHILAP Revista de lepidopterología (10 papers)PLoS ONE (6 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (6 papers)
- Partner nations
- GermanyUnited KingdomChina
In The Last Decade
Björn W. Schuller
960 papers receiving 30.7k citations
Hit Papers
Peers
Comparison fields: 5 of 211
- Signal Processing 13.6k
- Experimental and Cognitive Psychology 15.3k
- Artificial Intelligence 15.1k
- Computer Vision and Pattern Recognition 6.3k
- Pharmacy 1.1k
Countries citing papers authored by Björn W. Schuller
This map shows the geographic impact of Björn W. 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 Björn W. Schuller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Björn W. Schuller more than expected).
Fields of papers citing papers by Björn W. Schuller
This network shows the impact of papers produced by Björn W. 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 Björn W. Schuller. The network helps show where Björn W. Schuller may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Björn W. 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 4 | |
| 8 | 2024 | 1 | |
| 9 | 2023 | 39 | |
| 10 | 2023 | 20 | |
| 11 | 2023 | 6 | |
| 12 | 2022 | 39 | |
| 13 | 2021 | 19 | |
| 14 | 2020 | 36 | |
| 15 | 2019 | 58 | |
| 16 | 2019 | 13 | |
| 17 | 2018 | 4 | |
| 18 | 2018 | 11 | |
| 19 | 2017 | 74 | |
| 20 | Automatic Detection of Textual Triggers of Reader Emotion in Short Stories | 2016 | 1 |
About Björn W. Schuller
Björn W. Schuller is a scholar working on Signal Processing, Experimental and Cognitive Psychology and Artificial Intelligence, having authored 1.0k papers that have together received 32.6k indexed citations. Recurring topics across this work include Music and Audio Processing (354 papers), Speech and Audio Processing (353 papers), Emotion and Mood Recognition (303 papers), Speech Recognition and Synthesis (281 papers), Sentiment Analysis and Opinion Mining (60 papers), Music Technology and Sound Studies (50 papers), Speech and dialogue systems (47 papers) and Phonocardiography and Auscultation Techniques (46 papers). The work is most often cited by research in Signal Processing (13.6k citations), Experimental and Cognitive Psychology (15.3k citations) and Artificial Intelligence (15.1k citations). Björn W. Schuller has collaborated with scholars based in Germany, United Kingdom and China. Frequent co-authors include Florian Eyben, Martin Wöllmer, Gerhard Rigoll, Anton Batliner, Felix Weninger, Stefan Steidl, Zixing Zhang, M. Lang, Erik Cambria and Erik Marchi. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine 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.