The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Michel Valstar sits on this spectrum.
This scientist: 163 publications — 32nd percentile
32% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Michel Valstar sits on this spectrum.
This scientist: 52 D-Index — 65th percentile
65% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Michel Valstar is a researcher affiliated with the University of Nottingham in the United Kingdom. Their work lies primarily at the intersection of psychology and computer science, reflecting an interdisciplinary approach to understanding human behavior through computational methods.
Valstar's research covers extensive topics including emotion and mood recognition, face recognition and analysis, speech and audio processing, and mental health research. The scientist has also contributed to fields involving neonatal respiratory health and music and audio processing. Their main fields of study span:
With a focus on specialized subfields, Valstar's research portfolio includes areas such as experimental and cognitive psychology, computer vision and pattern recognition, signal processing, cognitive neuroscience, and social psychology. These subfields underpin a large fraction of their publication record and research efforts.
Their recent publications demonstrate a strong emphasis on affective computing and machine learning methods to analyze facial and behavioral data. Notable papers include:
Valstar frequently publishes in venues that cater to interdisciplinary research spanning artificial intelligence, pattern recognition, and psychological science. Prominent venues for their work include:
Collaborative research is a significant aspect of Valstar's work, with repeated co-authorships reflecting established partnerships. Frequent collaborators include:
Overall, Michel Valstar's research integrates psychological theory and computational techniques, focusing on the analysis of facial expressions, emotions, and personal cognitive states using machine learning and signal processing methodologies.
Matej Kristan;Aleš Leonardis;Jiři Matas;Michael Felsberg
M. Pantic;M. Valstar;R. Rademaker;L. Maat
G. McKeown;M. Valstar;R. Cowie;M. Pantic
Michel Valstar;Jonathan Gratch;Björn Schuller;Fabien Ringeval
Michel Valstar;Björn Schuller;Kirsty Smith;Florian Eyben
Michel Valstar;Björn Schuller;Kirsty Smith;Timur Almaev
M. Valstar;M. Pantic
Michel F. Valstar;Bihan Jiang;Marc Mehu;Maja Pantic
Michel Valstar;Brais Martinez;Xavier Binefa;Maja Pantic
M. F. Valstar;M. Pantic
M. F. Valstar;M. Mehu;Bihan Jiang;M. Pantic
Gary McKeown;Michel F. Valstar;Roderick Cowie;Maja Pantic
Björn Schuller;Michel Valstar;Florian Eyben;Gary McKeown
Brais Martinez;Michel F. Valstar;Bihan Jiang;Maja Pantic
Björn Schuller;Michel Valster;Florian Eyben;Roddy Cowie
Michel F. Valstar;Timur Almaev;Jeffrey M. Girard;Gary McKeown
Fabien Ringeval;Björn Schuller;Michel Valstar;Jonathan Gratch
Bihan Jiang;Michel F. Valstar;Maja Pantic
Fabien Ringeval;Björn Schuller;Michel Valstar;Nicholas Cummins
Michel F. Valstar;Hatice Gunes;Maja Pantic
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Exploring a Computer Science degree in the USA opens the door to several related career pathways and online study options. Many students choose online degree programs accredited by respected agencies for flexibility and credibility. This ensures their qualifications are widely recognized by employers.
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Exploring these online degree paths can help you discover new career options that complement a background in computer science.
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