Björn W. Schuller

54.7k total citations · 15 hit papers
1.0k papers, 32.6k citations indexed

About

Björn W. Schuller is a scholar working on Signal Processing, Artificial Intelligence and Experimental and Cognitive Psychology. According to data from OpenAlex, Björn W. Schuller has authored 1.0k papers receiving a total of 32.6k indexed citations (citations by other indexed papers that have themselves been cited), including 487 papers in Signal Processing, 460 papers in Artificial Intelligence and 358 papers in Experimental and Cognitive Psychology. Recurrent topics in Björn W. Schuller's work include Music and Audio Processing (354 papers), Speech and Audio Processing (353 papers) and Emotion and Mood Recognition (303 papers). Björn W. Schuller is often cited by papers focused on Music and Audio Processing (354 papers), Speech and Audio Processing (353 papers) and Emotion and Mood Recognition (303 papers). Björn W. Schuller collaborates with scholars based in Germany, United Kingdom and China. Björn W. Schuller's co-authors include Florian Eyben, Martin Wöllmer, Gerhard Rigoll, Anton Batliner, Felix Weninger, Stefan Steidl, Zixing Zhang, M. Lang, Erik Cambria and Erik Marchi and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Björn W. Schuller

960 papers receiving 30.7k citations

Hit Papers

Opensmile 2009 2026 2014 2020 2010 2015 2013 2013 2009 500 1000 1.5k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Opensmile
    2010 1.7k citations Florian Eyben, Martin Wöllmer et al. OPUS (Augsburg University) profile →
  2. The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing
    2015 1.1k citations Florian Eyben, Björn W. Schuller et al. IEEE Transactions on Affective Computing profile →
  3. Recent developments in openSMILE, the munich open-source multimedia feature extractor
    2013 849 citations Florian Eyben, Felix Weninger et al. OPUS (Augsburg University) profile →
  4. New Avenues in Opinion Mining and Sentiment Analysis
    2013 791 citations Erik Cambria, Björn W. Schuller et al. IEEE Intelligent Systems profile →
  5. The INTERSPEECH 2009 emotion challenge
    2009 658 citations Björn W. Schuller et al. profile →
  6. Adieu features? End-to-end speech emotion recognition using a deep convolutional recurrent network
    2016 564 citations George Trigeorgis, Erik Marchi et al. profile →
  7. The INTERSPEECH 2013 computational paralinguistics challenge: social signals, conflict, emotion, autism
    2013 503 citations Björn W. Schuller, Felix Weninger et al. profile →
  8. Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge
    2011 496 citations Björn W. Schuller et al. profile →
  9. End-to-End Multimodal Emotion Recognition Using Deep Neural Networks
    2017 450 citations Panagiotis Tzirakis, George Trigeorgis et al. profile →
  10. The INTERSPEECH 2010 paralinguistic challenge
    2010 415 citations Björn W. Schuller et al. profile →
  11. AVEC 2013
    2013 409 citations Michel Valstar, Björn W. Schuller et al. OPUS (Augsburg University) profile →
  12. A survey of multimodal sentiment analysis
    2017 369 citations Björn W. Schuller et al. profile →
  13. Speech emotion recognition
    2018 337 citations Björn W. Schuller profile →
  14. Will Affective Computing Emerge From Foundation Models and General Artificial Intelligence? A First Evaluation of ChatGPT
    2023 93 citations Erik Cambria, Björn W. Schuller et al. IEEE Intelligent Systems profile →
  15. Digital interventions in mental health: An overview and future perspectives
    2025 14 citations Björn W. Schuller et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Björn W. Schuller Germany 82 15.3k 15.1k 13.6k 6.3k 3.8k 1.0k 32.6k
Shrikanth Narayanan United States 63 10.3k 0.7× 10.2k 0.7× 8.0k 0.6× 3.1k 0.5× 2.7k 0.7× 815 21.1k
Klaus R. Scherer Switzerland 95 17.3k 1.1× 4.5k 0.3× 4.1k 0.3× 2.6k 0.4× 14.8k 3.9× 340 37.8k
Florian Eyben Germany 40 5.7k 0.4× 4.7k 0.3× 4.6k 0.3× 2.0k 0.3× 1.6k 0.4× 132 10.2k
Jeffrey F. Cohn United States 81 11.9k 0.8× 2.1k 0.1× 2.4k 0.2× 12.5k 2.0× 4.9k 1.3× 317 27.3k
Rosalind W. Picard United States 84 9.5k 0.6× 5.9k 0.4× 1.7k 0.1× 7.6k 1.2× 6.3k 1.7× 366 31.0k
Maja Pantić United Kingdom 71 12.0k 0.8× 4.2k 0.3× 4.3k 0.3× 12.3k 1.9× 3.3k 0.9× 341 22.2k
Louis–Philippe Morency United States 53 4.9k 0.3× 8.3k 0.6× 2.1k 0.2× 5.4k 0.9× 2.4k 0.6× 264 16.6k
Matti Pietikäinen Finland 55 3.6k 0.2× 4.2k 0.3× 5.1k 0.4× 25.8k 4.1× 403 0.1× 149 33.5k
Julien Epps Australia 37 3.0k 0.2× 3.0k 0.2× 1.9k 0.1× 1.0k 0.2× 1.3k 0.3× 237 7.9k
John H. L. Hansen United States 49 2.1k 0.1× 7.5k 0.5× 8.4k 0.6× 1.3k 0.2× 386 0.1× 628 11.9k

Countries citing papers authored by Björn W. Schuller

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Björn W. Schuller

This figure shows the co-authorship network connecting the top 25 collaborators of Björn W. Schuller. A scholar is included among the top collaborators of Björn W. Schuller based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Björn W. Schuller. Björn W. Schuller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Mallol-Ragolta, Adria, et al.. (2025). Facial Emotion Recognition of 16 Distinct Emotions From Smartphone Videos: Comparative Study of Machine Learning and Human Performance. Journal of Medical Internet Research. 27. e68942–e68942.
2.
Triantafyllopoulos, Andreas, Zixing Zhang, Tôru Nakamura, et al.. (2024). Empowering Mental Health Monitoring Using a Macro-Micro Personalization Framework for Multimodal-Multitask Learning: Descriptive Study. JMIR Mental Health. 11. e59512–e59512.
3.
Zhao, Ziping, et al.. (2024). Attention-Based Temporal Graph Representation Learning for EEG-Based Emotion Recognition. IEEE Journal of Biomedical and Health Informatics. 28(10). 5755–5767. 9 indexed citations
4.
Tian, Fuze, et al.. (2024). An On-Board Executable Multi-Feature Transfer-Enhanced Fusion Model for Three-Lead EEG Sensor-Assisted Depression Diagnosis. IEEE Journal of Biomedical and Health Informatics. 29(1). 152–165. 19 indexed citations
5.
Lian, Zheng, Licai Sun, Hao Gu, et al.. (2024). MER 2024: Semi-Supervised Learning, Noise Robustness, and Open-Vocabulary Multimodal Emotion Recognition. 41–48. 4 indexed citations
6.
Bian, Ning, et al.. (2023). Multi-view domain-adaptive representation learning for EEG-based emotion recognition. Information Fusion. 104. 102156–102156. 39 indexed citations
7.
Qian, Kun, et al.. (2023). Exploring interpretable representations for heart sound abnormality detection. Biomedical Signal Processing and Control. 82. 104569–104569. 20 indexed citations
8.
Lian, Zheng, Erik Cambria, Guoying Zhao, Björn W. Schuller, & Jianhua Tao. (2023). MRAC'23: 1st International Workshop on Multimodal and Responsible Affective Computing. 9713–9714.
9.
Whitworth, Andrew, et al.. (2023). Automated acoustic detection of Geoffroy's spider monkey highlights tipping points of human disturbance. Proceedings of the Royal Society B Biological Sciences. 290(1995). 20222473–20222473. 4 indexed citations
10.
Schuller, Björn W., et al.. (2023). Are 3D Face Shapes Expressive Enough for Recognising Continuous Emotions and Action Unit Intensities?. IEEE Transactions on Affective Computing. 15(2). 535–548. 9 indexed citations
11.
Triantafyllopoulos, Andreas, Björn W. Schuller, Tevfik Metin Sezgin, et al.. (2023). An Overview of Affective Speech Synthesis and Conversion in the Deep Learning Era. Proceedings of the IEEE. 111(10). 1355–1381. 34 indexed citations
12.
Gerczuk, Maurice, Shahin Amiriparian, Sandra Ottl, & Björn W. Schuller. (2021). EmoNet: A Transfer Learning Framework for Multi-Corpus Speech Emotion Recognition. IEEE Transactions on Affective Computing. 14(2). 1472–1487. 39 indexed citations
13.
Zhang, Zixing, Ding Liu, Jing Han, Kun Qian, & Björn W. Schuller. (2021). Learning audio sequence representations for acoustic event classification. Expert Systems with Applications. 178. 115007–115007. 6 indexed citations
14.
Zhang, Zixing, Jing Han, Kun Qian, & Björn W. Schuller. (2018). Evolving Learning for Analysing Mood-Related Infant Vocalisation. OPUS (Augsburg University). 142–146. 4 indexed citations
15.
Marchi, Erik, Björn W. Schuller, Simon Baron‐Cohen, et al.. (2015). Voice Emotion Games: Language and Emotion in the Voice of Children with Autism Spectrum Conditio. 7 indexed citations
16.
Coutinho, Eduardo, George Trigeorgis, Stefanos Zafeiriou, & Björn W. Schuller. (2015). Automatically Estimating Emotion in Music with Deep Long-Short Term Memory Recurrent Neural Networks.. OPUS (Augsburg University). 14 indexed citations
17.
Schuller, Björn W., et al.. (2014). The Munich Biovoice Corpus: Effects of Physical Exercising, Heart Rate, and Skin Conductance on Human Speech Production. Language Resources and Evaluation. 1506–1510. 22 indexed citations
18.
Weninger, Felix, et al.. (2013). A Discriminative Approach to Polyphonic Piano Note Transcription using Nonnegative Matrix Factorization. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich). 2 indexed citations
19.
Wöllmer, Martin, et al.. (2013). YouTube Movie Reviews: In, Cross, and Open-domain Sentiment Analysis in an Audiovisual Context. IEEE Intelligent Systems. 28. 2–8. 7 indexed citations
20.
Epps, Julien, Fang Chen, Sharon Oviatt, et al.. (2013). ICMI 2013 chairs' welcome. 1 indexed citations

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.

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