Marcello Mortillaro

3.6k total citations · 1 hit paper
36 papers, 2.3k citations indexed

About

Marcello Mortillaro is a scholar working on Social Psychology, Cognitive Neuroscience and Experimental and Cognitive Psychology. According to data from OpenAlex, Marcello Mortillaro has authored 36 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Social Psychology, 21 papers in Cognitive Neuroscience and 21 papers in Experimental and Cognitive Psychology. Recurrent topics in Marcello Mortillaro's work include Face Recognition and Perception (16 papers), Emotion and Mood Recognition (14 papers) and Emotions and Moral Behavior (9 papers). Marcello Mortillaro is often cited by papers focused on Face Recognition and Perception (16 papers), Emotion and Mood Recognition (14 papers) and Emotions and Moral Behavior (9 papers). Marcello Mortillaro collaborates with scholars based in Switzerland, Germany and France. Marcello Mortillaro's co-authors include Klaus R. Scherer, Nele Dael, Tanja Bänziger, Florian Eyben, Björn W. Schuller, Felix Weninger, Alessandro Vinciarelli, Marc Méhu, Elizabeth Clark‐Polner and Antonio Camurri and has published in prestigious journals such as Journal of Personality and Social Psychology, SHILAP Revista de lepidopterología and Journal of Applied Psychology.

In The Last Decade

Marcello Mortillaro

35 papers receiving 2.2k citations

Hit Papers

The INTERSPEECH 2013 comp... 2013 2026 2017 2021 2013 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marcello Mortillaro Switzerland 17 1.2k 821 785 504 457 36 2.3k
Frank Russo Canada 31 1.6k 1.3× 807 1.0× 1.9k 2.5× 942 1.9× 334 0.7× 143 3.5k
Alan Cowen United States 21 978 0.8× 806 1.0× 907 1.2× 159 0.3× 260 0.6× 40 2.1k
Tanja Bänziger Sweden 19 948 0.8× 640 0.8× 715 0.9× 177 0.4× 208 0.5× 32 1.8k
Khiet P. Truong Netherlands 20 1.3k 1.0× 577 0.7× 298 0.4× 752 1.5× 1.1k 2.4× 91 2.3k
Guillaume Chanel Switzerland 24 1.1k 0.9× 462 0.6× 1.2k 1.6× 232 0.5× 291 0.6× 53 2.3k
Steven R. Livingstone Canada 19 1.0k 0.8× 374 0.5× 684 0.9× 760 1.5× 342 0.7× 32 1.9k
Marc Méhu Austria 19 1.1k 0.9× 532 0.6× 436 0.6× 118 0.2× 154 0.3× 37 1.6k
Jeffrey M. Girard United States 21 1.3k 1.1× 393 0.5× 536 0.7× 177 0.4× 154 0.3× 56 2.2k
Laurence Devillers France 22 2.2k 1.8× 630 0.8× 367 0.5× 1.5k 2.9× 1.9k 4.1× 99 3.6k
Harald G. Wallbott Germany 21 1.4k 1.2× 1.8k 2.2× 1.1k 1.4× 187 0.4× 413 0.9× 43 3.4k

Countries citing papers authored by Marcello Mortillaro

Since Specialization
Citations

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

Fields of papers citing papers by Marcello Mortillaro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcello Mortillaro

This figure shows the co-authorship network connecting the top 25 collaborators of Marcello Mortillaro. A scholar is included among the top collaborators of Marcello Mortillaro 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 Marcello Mortillaro. Marcello Mortillaro 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
2.
Schlegel, Katja, et al.. (2025). Large language models are proficient in solving and creating emotional intelligence tests. Communications Psychology. 3(1). 80–80. 4 indexed citations
3.
4.
Mortillaro, Marcello & Katja Schlegel. (2023). Embracing the Emotion in Emotional Intelligence Measurement: Insights from Emotion Theory and Research. Journal of Intelligence. 11(11). 210–210. 10 indexed citations
5.
Simonet, Daniel V., Katherine E. Miller, Kevin L. Askew, et al.. (2021). How Multidimensional Is Emotional Intelligence? Bifactor Modeling of Global and Broad Emotional Abilities of the Geneva Emotional Competence Test. Journal of Intelligence. 9(1). 14–14. 14 indexed citations
7.
Scherer, Klaus R., et al.. (2019). Investigating appraisal-driven facial expression and inference in emotion communication.. Emotion. 21(1). 73–95. 11 indexed citations
8.
Scherer, Klaus R., et al.. (2019). Dynamic Facial Expression of Emotion and Observer Inference. Frontiers in Psychology. 10. 508–508. 29 indexed citations
9.
Schuller, Björn W., Felix Weninger, Yue Zhang, et al.. (2018). Affective and behavioural computing: Lessons learnt from the First Computational Paralinguistics Challenge. Computer Speech & Language. 53. 156–180. 36 indexed citations
10.
Mortillaro, Marcello & Daniel Dukes. (2018). Jumping for Joy: The Importance of the Body and of Dynamics in the Expression and Recognition of Positive Emotions. Frontiers in Psychology. 9. 763–763. 11 indexed citations
11.
Scherer, Klaus R., et al.. (2018). Appraisal-driven facial actions as building blocks for emotion inference.. Journal of Personality and Social Psychology. 114(3). 358–379. 31 indexed citations
12.
Glowinski, Donald, Marcello Mortillaro, Klaus R. Scherer, Nele Dael, & Antonio Camurri. (2015). Towards a minimal representation of affective gestures (Extended abstract). 498–504. 9 indexed citations
13.
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
14.
Schuller, Björn W., Stefan Steidl, Anton Batliner, et al.. (2013). The INTERSPEECH 2013 computational paralinguistics challenge: social signals, conflict, emotion, autism. 148–152. 503 indexed citations breakdown →
15.
Visch, Valentijn, Martijn Goudbeek, & Marcello Mortillaro. (2013). Robust anger: Recognition of deteriorated dynamic bodily emotion expressions. Cognition & Emotion. 28(5). 936–946. 8 indexed citations
16.
Scherer, Klaus R., Marcello Mortillaro, & Marc Méhu. (2013). Understanding the Mechanisms Underlying the Production of Facial Expression of Emotion: A Componential Perspective. Emotion Review. 5(1). 47–53. 41 indexed citations
17.
Weninger, Felix, Florian Eyben, Björn W. Schuller, Marcello Mortillaro, & Klaus R. Scherer. (2013). On the Acoustics of Emotion in Audio: What Speech, Music, and Sound have in Common. Frontiers in Psychology. 4. 292–292. 182 indexed citations
18.
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
19.
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
20.
Dael, Nele, Marcello Mortillaro, & Klaus R. Scherer. (2011). Emotion expression in body action and posture.. Emotion. 12(5). 1085–1101. 285 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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