Klaus R. Scherer

65.0k total citations · 16 hit papers
340 papers, 37.8k citations indexed

About

Klaus R. Scherer is a scholar working on Social Psychology, Cognitive Neuroscience and Experimental and Cognitive Psychology. According to data from OpenAlex, Klaus R. Scherer has authored 340 papers receiving a total of 37.8k indexed citations (citations by other indexed papers that have themselves been cited), including 147 papers in Social Psychology, 137 papers in Cognitive Neuroscience and 137 papers in Experimental and Cognitive Psychology. Recurrent topics in Klaus R. Scherer's work include Emotions and Moral Behavior (87 papers), Face Recognition and Perception (57 papers) and Emotion and Mood Recognition (54 papers). Klaus R. Scherer is often cited by papers focused on Emotions and Moral Behavior (87 papers), Face Recognition and Perception (57 papers) and Emotion and Mood Recognition (54 papers). Klaus R. Scherer collaborates with scholars based in Switzerland, Germany and United States. Klaus R. Scherer's co-authors include Rainer Banse, Didier Grandjean, Harald G. Wallbott, Paul Ekman, David Sander, Tom Johnstone, Tanja Bänziger, Marcello Mortillaro, Angela Schorr and Phoebe C. Ellsworth and has published in prestigious journals such as Journal of Personality and Social Psychology, Psychological Bulletin and SHILAP Revista de lepidopterología.

In The Last Decade

Klaus R. Scherer

330 papers receiving 35.0k citations

Hit Papers

What are emotions? And how can they be meas... 1984 2026 1998 2012 2005 2001 1996 1996 2003 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Klaus R. Scherer Switzerland 95 17.3k 14.8k 14.2k 4.5k 4.1k 340 37.8k
James A. Russell United States 77 16.6k 1.0× 17.8k 1.2× 16.1k 1.1× 2.8k 0.6× 7.6k 1.8× 320 47.2k
Paul Ekman United States 89 23.0k 1.3× 25.1k 1.7× 22.6k 1.6× 4.9k 1.1× 7.8k 1.9× 196 58.8k
Wallace V. Friesen United States 41 9.2k 0.5× 10.5k 0.7× 8.9k 0.6× 1.4k 0.3× 3.0k 0.7× 56 23.2k
Lisa Feldman Barrett United States 98 15.2k 0.9× 16.3k 1.1× 18.2k 1.3× 1.2k 0.3× 4.5k 1.1× 341 42.6k
Peter J. Lang United States 100 22.0k 1.3× 13.6k 0.9× 28.8k 2.0× 845 0.2× 3.3k 0.8× 251 52.8k
Alan Baddeley United Kingdom 113 15.9k 0.9× 6.1k 0.4× 36.7k 2.6× 4.1k 0.9× 1.2k 0.3× 390 60.7k
Jonathan D. Cohen United States 107 14.6k 0.8× 11.1k 0.7× 63.3k 4.5× 1.8k 0.4× 4.1k 1.0× 332 83.2k
Marc H. Bornstein United States 98 7.2k 0.4× 13.1k 0.9× 9.9k 0.7× 1.4k 0.3× 6.5k 1.6× 660 50.9k
Margaret M. Bradley United States 80 16.4k 0.9× 10.7k 0.7× 24.4k 1.7× 717 0.2× 2.5k 0.6× 218 41.4k
Daniel L. Schacter United States 138 15.9k 0.9× 10.8k 0.7× 59.2k 4.2× 3.1k 0.7× 2.7k 0.6× 619 74.2k

Countries citing papers authored by Klaus R. Scherer

Since Specialization
Citations

This map shows the geographic impact of Klaus R. Scherer'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 Klaus R. Scherer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Klaus R. Scherer more than expected).

Fields of papers citing papers by Klaus R. Scherer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Klaus R. Scherer. 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 Klaus R. Scherer. The network helps show where Klaus R. Scherer may publish in the future.

Co-authorship network of co-authors of Klaus R. Scherer

This figure shows the co-authorship network connecting the top 25 collaborators of Klaus R. Scherer. A scholar is included among the top collaborators of Klaus R. Scherer 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 Klaus R. Scherer. Klaus R. Scherer 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.
Gratch, Jonathan, et al.. (2025). Aware Yet Biased: Investigating Emotional Reasoning and Appraisal Bias in Large Language Models. IEEE Transactions on Affective Computing. 16(4). 2871–2880.
2.
Scherer, Klaus R.. (2022). Theory convergence in emotion science is timely and realistic. Cognition & Emotion. 36(2). 154–170. 31 indexed citations
3.
Fontaine, Johnny R. J., et al.. (2019). Towards a dimensional representation of the whole gamut of human emotions. 1 indexed citations
4.
Meuleman, Ben, Agnes Moors, Johnny R. J. Fontaine, Olivier Renaud, & Klaus R. Scherer. (2018). Interaction and threshold effects of appraisal on componential patterns of emotion: A study using cross-cultural semantic data.. Emotion. 19(3). 425–442. 14 indexed citations
5.
Mortillaro, Marcello & Klaus R. Scherer. (2014). Stressed Out: How Stress Develops and How to Cope with it. SHILAP Revista de lepidopterología. 6(1). 16–21. 2 indexed citations
6.
Grandjean, Didier, et al.. (2013). Coherence explored between emotion components: Evidence from event-related potentials and facial electromyography. Biological Psychology. 98. 70–81. 13 indexed citations
7.
Dan‐Glauser, Elise & Klaus R. Scherer. (2011). The Geneva affective picture database (GAPED): a new 730-picture database focusing on valence and normative significance. Behavior Research Methods. 43(2). 468–477. 462 indexed citations breakdown →
8.
Scherer, Klaus R., Tanja Bänziger, & Etienne B. Roesch. (2010). A blueprint for affective computing: A sourcebook. Oxford University Press eBooks. 105 indexed citations
9.
Patel, Sona, Klaus R. Scherer, Johan Sundberg, & Eva Björkner. (2010). Acoustic markers of emotions based on voice physiology. paper 865–0. 9 indexed citations
10.
Sander, David & Klaus R. Scherer. (2009). Oxford Companion to Emotion & the Affective Sciences. 102(2). 129–32. 1 indexed citations
11.
Goudbeek, Martijn, Jean-Philippe Goldman, & Klaus R. Scherer. (2008). Emotions and articulatory precision.. Conference of the International Speech Communication Association. 317. 2 indexed citations
12.
Harrigan, Jinni A., Robert Rosenthal, & Klaus R. Scherer. (2008). The New Handbook of Methods in Nonverbal Behavior Research. Oxford University Press eBooks. 223 indexed citations
13.
Scherer, Klaus R. & Heiner Ellgring. (2007). Multimodal expression of emotion: Affect programs or componential appraisal patterns?. Emotion. 7(1). 158–171. 182 indexed citations
14.
Sander, David, Didier Grandjean, Gilles Pourtois, et al.. (2005). Emotion and attention interactions in social cognition: Brain regions involved in processing anger prosody. NeuroImage. 28(4). 848–858. 300 indexed citations
15.
d’Épinay, Christian Lalive, et al.. (1997). La notion d'autonomie. Pour une reformulation interdisciplinaire. Archive ouverte UNIGE (University of Geneva). 1 indexed citations
16.
Scherer, Klaus R., et al.. (1997). Voluntary facial expression of emotion: Comparing congenitally blind with normally sighted encoders.. Journal of Personality and Social Psychology. 73(6). 1363–1379. 19 indexed citations
17.
Scherer, Klaus R.. (1995). Plato's legacy: Relationships between cognition, emotion and motivation. Archive ouverte UNIGE (University of Geneva). 10 indexed citations
18.
Scherer, Klaus R.. (1990). Psychologie der Emotion. Hogrefe eBooks. 12 indexed citations
19.
Scherer, Klaus R., et al.. (1987). Psychobiologie : Wegweisende Texte der Verhaltensforschung von Darwin bis zur Gegenwart. Deutscher Taschenbuch Verlag eBooks.
20.
Scherer, Klaus R.. (1982). Vokale Kommunikation : nonverbale Aspekte des Sprachverhaltens. 6 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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