Tanja Bänziger

2.8k total citations
32 papers, 1.8k citations indexed

About

Tanja Bänziger is a scholar working on Experimental and Cognitive Psychology, Cognitive Neuroscience and Social Psychology. According to data from OpenAlex, Tanja Bänziger has authored 32 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Experimental and Cognitive Psychology, 12 papers in Cognitive Neuroscience and 8 papers in Social Psychology. Recurrent topics in Tanja Bänziger's work include Emotion and Mood Recognition (9 papers), Multisensory perception and integration (6 papers) and Neuroscience and Music Perception (5 papers). Tanja Bänziger is often cited by papers focused on Emotion and Mood Recognition (9 papers), Multisensory perception and integration (6 papers) and Neuroscience and Music Perception (5 papers). Tanja Bänziger collaborates with scholars based in Sweden, Switzerland and United States. Tanja Bänziger's co-authors include Klaus R. Scherer, Didier Grandjean, Marcello Mortillaro, Etienne B. Roesch, Petri Laukka, Håkan Fischer, Judith A. Hall, Sona Patel, Mikael Forsman and Hans Richter and has published in prestigious journals such as PLoS ONE, Scientific Reports and SLEEP.

In The Last Decade

Tanja Bänziger

31 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tanja Bänziger Sweden 19 948 715 640 208 177 32 1.8k
Alan Cowen United States 21 978 1.0× 907 1.3× 806 1.3× 260 1.3× 159 0.9× 40 2.1k
Marc Méhu Austria 19 1.1k 1.1× 436 0.6× 532 0.8× 154 0.7× 118 0.7× 37 1.6k
Marcello Mortillaro Switzerland 17 1.2k 1.3× 785 1.1× 821 1.3× 457 2.2× 504 2.8× 36 2.3k
Rainer Krause Germany 12 613 0.6× 548 0.8× 507 0.8× 106 0.5× 42 0.2× 45 1.4k
Gijsbert Bijlstra Netherlands 13 958 1.0× 1.2k 1.7× 557 0.9× 116 0.6× 54 0.3× 28 2.2k
Pio E. Ricci-Bitti Italy 6 607 0.6× 632 0.9× 440 0.7× 88 0.4× 43 0.2× 7 1.2k
T. K. Pitcairn United Kingdom 13 518 0.5× 699 1.0× 470 0.7× 88 0.4× 42 0.2× 16 1.6k
Robert D. Melara United States 30 1.2k 1.3× 1.9k 2.7× 448 0.7× 67 0.3× 174 1.0× 78 2.7k
Frank Eisner Netherlands 21 1.4k 1.5× 1.7k 2.3× 523 0.8× 227 1.1× 275 1.6× 38 2.5k
Eva G. Krumhuber United Kingdom 26 1.4k 1.5× 1.4k 2.0× 1.1k 1.7× 199 1.0× 39 0.2× 94 2.9k

Countries citing papers authored by Tanja Bänziger

Since Specialization
Citations

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

Fields of papers citing papers by Tanja Bänziger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tanja Bänziger. 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 Tanja Bänziger. The network helps show where Tanja Bänziger may publish in the future.

Co-authorship network of co-authors of Tanja Bänziger

This figure shows the co-authorship network connecting the top 25 collaborators of Tanja Bänziger. A scholar is included among the top collaborators of Tanja Bänziger 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 Tanja Bänziger. Tanja Bänziger 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.
Laukka, Petri, et al.. (2023). Trainee psychotherapists’ emotion recognition accuracy improves after training: emotion recognition training as a tool for psychotherapy education. Frontiers in Psychology. 14. 1188634–1188634. 7 indexed citations
2.
Laukka, Petri, et al.. (2021). Investigating individual differences in emotion recognition ability using the ERAM test. Acta Psychologica. 220. 103422–103422. 19 indexed citations
3.
Laukka, Petri, et al.. (2021). Training Emotion Recognition Accuracy: Results for Multimodal Expressions and Facial Micro Expressions. Frontiers in Psychology. 12. 708867–708867. 18 indexed citations
4.
Bänziger, Tanja, et al.. (2021). Effects of aging on emotion recognition from dynamic multimodal expressions and vocalizations. Scientific Reports. 11(1). 2647–2647. 36 indexed citations
5.
Henningsson, Susanne, Tanja Bänziger, Anna Zettergren, et al.. (2017). Emotion recognition associated with polymorphism in oxytocinergic pathway gene ARNT2. Social Cognitive and Affective Neuroscience. 13(2). 173–181. 13 indexed citations
6.
Hall, Judith A., Tanja Bänziger, William Ickes, et al.. (2016). The Social Psychology of Perceiving Others Accurately. Cambridge University Press eBooks. 73 indexed citations
7.
Bhatara, Anjali, Petri Laukka, Natalie Boll‐Avetisyan, et al.. (2016). Second Language Ability and Emotional Prosody Perception. PLoS ONE. 11(6). e0156855–e0156855. 13 indexed citations
8.
Bänziger, Tanja, Georg Hosoya, & Klaus R. Scherer. (2015). Path Models of Vocal Emotion Communication. PLoS ONE. 10(9). e0136675–e0136675. 40 indexed citations
9.
Méhu, Marc, Marcello Mortillaro, Tanja Bänziger, & Klaus R. Scherer. (2012). Reliable facial muscle activation enhances recognizability and credibility of emotional expression.. Emotion. 12(4). 701–715. 49 indexed citations
10.
Bänziger, Tanja, Marcello Mortillaro, & Klaus R. Scherer. (2011). Introducing the Geneva Multimodal expression corpus for experimental research on emotion perception.. Emotion. 12(5). 1161–1179. 289 indexed citations
11.
Scherer, Klaus R., Tanja Bänziger, & Etienne B. Roesch. (2010). A blueprint for affective computing: A sourcebook. Oxford University Press eBooks. 105 indexed citations
12.
Richter, Hans, et al.. (2010). Stabilization of gaze: A relationship between ciliary muscle contraction and trapezius muscle activity. Vision Research. 50(23). 2559–2569. 31 indexed citations
13.
Richter, Hans, Tanja Bänziger, & Mikael Forsman. (2010). Eye-lens accommodation load and static trapezius muscle activity. European Journal of Applied Physiology. 111(1). 29–36. 26 indexed citations
14.
Bänziger, Tanja, Didier Grandjean, & Klaus R. Scherer. (2009). Emotion recognition from expressions in face, voice, and body: The Multimodal Emotion Recognition Test (MERT).. Emotion. 9(5). 691–704. 266 indexed citations
15.
Richter, Hans, et al.. (2008). Low-level sustained accommodative/vergence loads, eyestrain and trapezius muscle activity. Perception. 37. 24–24. 1 indexed citations
16.
Johnstone, Tom, Carien M. van Reekum, Tanja Bänziger, et al.. (2007). The effects of difficulty and gain versus loss on vocal physiology and acoustics. Psychophysiology. 44(5). 827–837. 23 indexed citations
17.
Grandjean, Didier, Tanja Bänziger, & Klaus R. Scherer. (2006). Intonation as an interface between language and affect. Progress in brain research. 156. 235–247. 82 indexed citations
18.
Scherer, Klaus R. & Tanja Bänziger. (2004). Emotional expression in prosody: a review and an agenda for future research. 359–366. 8 indexed citations
19.
Bänziger, Tanja & Klaus R. Scherer. (2003). A study of perceived vocal features in emotional speech. 4 indexed citations
20.
Karlsson, Inger, Tanja Bänziger, Tom Johnstone, et al.. (1998). Within-speaker variability due to speaking manners. paper 0737–0. 7 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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