Michel Valstar

12.6k citations

116 papers · 6.5k indexed · 2 hit papers · h-index 35

Impact in

Experimental and Cognitive Psychology top 0.1%
- Emotion and Mood Recognition
Computer Vision and Pattern Recognition top 0.2%
- Face and Expression Recognition
- Face recognition and analysis
- Human Pose and Action Recognition

Papers in

Experimental and Cognitive Psychology 67
- Emotion and Mood Recognition 62
- Mental Health Research Topics 7
Computer Vision and Pattern Recognition 58
- Face recognition and analysis 37
- Face and Expression Recognition 28

Co-authors: Maja Pantić Bihan Jiang Roddy Cowie Brais Martínez R.M. Rademaker Björn W. Schuller Gary McKeown Timur Almaev
Journals: IEEE Transactions on Affective Computing (10 papers)Image and Vision Computing (3 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (3 papers)IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) (2 papers)Reliability Engineering & System Safety (1 paper)
Partner nations: United Kingdom Netherlands Germany

In The Last Decade

Michel Valstar

114 papers receiving 6.2k citations

Hit Papers

align trajectories log scale

AVEC 2013 2013 · 409 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2013 OPUS (Augsburg University)
2005 Spiral (Imperial College London)

Peers

Countries citing papers authored by Michel Valstar

Since Specialization

Citations

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

Fields of papers citing papers by Michel Valstar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michel Valstar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michel Valstar Line = papers co-authored together Michel Valstar links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Coloured Petri Nets-based Approach for Modelling Effects of Variation on the Reliability of the Newborn Life Support Procedure Reliability Engineering & System Safety ·Jean-Pierre Bondelle, Rasa Remenyte‐Prescott, Bayar-Erdene Lkhavasuren, Don Sharkey, Michel Valstar	2025	0
2	REACT 2025: the Third Multiple Appropriate Facial Reaction Generation Challenge VBN Forskningsportal (Aalborg Universitet) ·Siyang Song, Micol Spitale, Jörn Merten, Hengde Zhu, Yulan Liao, Cristina Palmero, Monica K. VanKlompenberg, Sérgio Escalera, Michel Valstar, Mohamed Daoudi, Tobias Baur, Fabien Ringeval, 義江龍一郎, Elisabeth André, Hatice Güneş	2025	0
3	REACT 2024: the Second Multiple Appropriate Facial Reaction Generation Challenge Siyang Song, Micol Spitale, Cheng Luo, Cristina Palmero, Monica K. VanKlompenberg, Hengde Zhu, Sérgio Escalera, Michel Valstar, Tobias Baur, Fabien Ringeval, Elisabeth André, Hatice Güneş	2024	6
4	Loss Relaxation Strategy for Noisy Facial Video-based Automatic Depression Recognition Apollo (University of Cambridge) ·Siyang Song, Miao Yan, Takeshi Kaharu, Changzeng Fu, Michel Valstar, Hatice Güneş	2024	2
5	Benchmarking framework for machine learning classification from fNIRS data SHILAP Revista de lepidopterología ·Pengzhen Huang, Jérémie Clos, Ni Made Sinta Suwastini, Michel Valstar, Max L. Wilson	2023	5
6	REACT2023: The First Multiple Appropriate Facial Reaction Generation Challenge Virtual Community of Pathological Anatomy (University of Castilla La Mancha) ·Siyang Song, Micol Spitale, Yulan Liao, Monica K. VanKlompenberg, Cristina Palmero, Sérgio Escalera, Michel Valstar, Tobias Baur, Fabien Ringeval, Elisabeth André, Hatice Güneş	2023	12
7	Are 3D Face Shapes Expressive Enough for Recognising Continuous Emotions and Action Unit Intensities? IEEE Transactions on Affective Computing ·Orlando Werbeth dos Santos Gomes, Antonella Di Lillo, Björn W. Schuller, Elisabeth André, Timo Giesbrecht, Michel Valstar	2023	9
8	COLD Fusion: Calibrated and Ordinal Latent Distribution Fusion for Uncertainty-Aware Multimodal Emotion Recognition IEEE Transactions on Pattern Analysis and Machine Intelligence ·Orlando Werbeth dos Santos Gomes, Shahin Amiriparian, Björn W. Schuller, Elisabeth André, Timo Giesbrecht, Michel Valstar	2023	26
9	Learning Person-Specific Cognition From Facial Reactions for Automatic Personality Recognition IEEE Transactions on Affective Computing ·Siyang Song, Annie C. McClaughry, Shashank Jaiswal, Linlin Shen, Michel Valstar, Hatice Güneş	2022	27
10	Modelling Stochastic Context of Audio-Visual Expressive Behaviour With Affective Processes IEEE Transactions on Affective Computing ·Orlando Werbeth dos Santos Gomes, Timo Giesbrecht, Michel Valstar	2022	4
11	Dimensional Affect Uncertainty Modelling for Apparent Personality Recognition IEEE Transactions on Affective Computing ·Orlando Werbeth dos Santos Gomes, Timo Giesbrecht, Michel Valstar	2022	9
12	Self-Supervised Learning of Person-Specific Facial Dynamics for Automatic Personality Recognition IEEE Transactions on Affective Computing ·Siyang Song, Shashank Jaiswal, Enrique Sánchez, Georgios Tzimiropoulos, Linlin Shen, Michel Valstar	2021	29
13	Spectral Representation of Behaviour Primitives for Depression Analysis IEEE Transactions on Affective Computing ·Siyang Song, Shashank Jaiswal, Linlin Shen, Michel Valstar	2020	97
14	eXplainable Cooperative Machine Learning with NOVA KI - Künstliche Intelligenz ·Tobias Baur, Tugna Imbana Branco, Florian Lingenfelser, Johannes Wagner, Michel Valstar, Björn W. Schuller, Elisabeth André	2020	23
15	Digital innovations in L2 motivation: Harnessing the power of the Ideal L2 Self System ·Svenja Adolphs, Leigh Clark, Zoltán Dörnyei, Tony Glover, Alastair Henry, Christine Muir, Enrique Sánchez, Michel Valstar	2018	38
16	Postnatal gestational age estimation of newborns using Small Sample Deep Learning Image and Vision Computing ·Mercedes Torres Torres, Michel Valstar, M Ioppolo, Xie Xiang-nan, Don Sharkey	2018	10
17	Automatic Analysis of Facial Actions: A Survey IEEE Transactions on Affective Computing ·Brais Martínez, Michel Valstar, Bihan Jiang, Maja Pantić	2017	208
18	A Functional Regression Approach to Facial Landmark Tracking IEEE Transactions on Pattern Analysis and Machine Intelligence ·Enrique Sánchez, Georgios Tzimiropoulos, Brais Martínez, Fernando De la Torre, Michel Valstar	2017	27
19	Computational Models of Emotion, Personality, and Social Relationships for Interactions in Games: (Extended Abstract) Repository@Nottingham (University of Nottingham) ·Andry Chowanda, T. N. Tselikova, Martin Flintham, Michel Valstar	2016	13
20	Identifying Pain Behaviour for Automatic Recognition. UCL Discovery (University College London) ·Matteo Cella, Min Hane Aung, Heng Meng, Nadia Bianchi‐Berthouze, Bernardino Romera‐Paredes, Mwangi Peter Githinji, (unknown), Alex C. Williams, P. J. Watson, Andrew H. Kemp, Соботюк Сергій, Sebastian Kaltwang, Michel Valstar	2012	3

About Michel Valstar

Michel Valstar is a scholar working on Experimental and Cognitive Psychology, Computer Vision and Pattern Recognition, Signal Processing, Human-Computer Interaction and Social Psychology, having authored 116 papers that have together received 6.5k indexed citations. Recurring topics across this work include Emotion and Mood Recognition (62 papers), Face recognition and analysis (37 papers), Face and Expression Recognition (28 papers), Speech and Audio Processing (15 papers), Music and Audio Processing (10 papers), Speech and dialogue systems (8 papers), Face Recognition and Perception (8 papers) and Mental Health Research Topics (7 papers). The work is most often cited by research in Experimental and Cognitive Psychology (4.4k citations), Computer Vision and Pattern Recognition (3.7k citations), Human-Computer Interaction (505 citations), Signal Processing (947 citations) and Social Psychology (1.1k citations). Michel Valstar has collaborated with scholars based in United Kingdom, Netherlands and Germany. Frequent co-authors include Maja Pantić, Bihan Jiang, Roddy Cowie, Brais Martínez, R.M. Rademaker, Björn W. Schuller, Gary McKeown, Timur Almaev, Shashank Jaiswal and Marc Méhu. Their work appears in journals such as IEEE Transactions on Affective Computing, Image and Vision Computing, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) and Reliability Engineering & System Safety.

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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