Björn W. Schuller

54.7k citations
1.0k papers · 32.6k indexed · 15 hit papers · h-index 82
Topics
Music and Audio Processing (354 papers)Speech and Audio Processing (353 papers)Emotion and Mood Recognition (303 papers)

In The Last Decade

Björn W. Schuller

960 papers receiving 30.7k citations

Hit Papers

Opensmile20092026201420202010201520132013200950010001.5k

Peers

Björn W. Schuller
Comparison fields: 5 of 211
  • Experimental and Cognitive Psychology 15.3k
  • Artificial Intelligence 15.1k
  • Signal Processing 13.6k
  • Computer Vision and Pattern Recognition 6.3k
  • Social Psychology 3.8k
Replace Shrikanth Narayanan with:
Shrikanth Narayanan United States
Klaus R. Scherer Switzerland
Jeffrey F. Cohn United States
Florian Eyben Germany
Maja Pantić United Kingdom
Louis–Philippe Morency United States
Rosalind W. Picard United States
Matti Pietikäinen Finland
Julien Epps Australia
John H. L. Hansen United States
Björn W. Schuller relative to Shrikanth Narayanan United States Shrikanth Narayanan's profile →
Citations per field
00.5×1.5×2.3×
Shrikanth Narayanan · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 1
3 5
4 0
5 0
6 1
7 4
8 1
9 39
10 20
11 6
12 39
13 19
14 36
15 58
16 13
17 4
18 11
19 74
20
Automatic Detection of Textual Triggers of Reader Emotion in Short Stories
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) and Emotion and Mood Recognition (303 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.

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