2026 Mohammad Soleymani: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	35	11422	11097	4693	4492	116	13360

Overview

Mohammad Soleymani is affiliated with the University of Southern California in the United States. Their research spans across multiple fields within computer science and psychology, with significant contributions to artificial intelligence and cognitive neuroscience.

The main fields of study for Soleymani include:

Computer Science
Psychology

The subfields of study cover:

Artificial Intelligence
Computer Vision and Pattern Recognition
Experimental and Cognitive Psychology
Cognitive Neuroscience
Signal Processing

Their work centers around several core topics, including:

Emotion and Mood Recognition
Face Recognition and Analysis
Sentiment Analysis and Opinion Mining
Music and Audio Processing
Speech Recognition and Synthesis
Topic Modeling
EEG and Brain-Computer Interfaces

Recent publications demonstrate a focus on multimedia signal processing, human-computer interaction, and neural signal analysis. Notable papers include:

"A Survey on Neuromarketing Using EEG Signals" (2021), published in IEEE Transactions on Cognitive and Developmental Systems
"A Pre-Trained Audio-Visual Transformer for Emotion Recognition" (2022), presented at the 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
"Self-Supervised Learning for Sentiment Analysis via Image-Text Matching" (2022), also presented at ICASSP 2022
"Build Your Own Robot Friend: An Open-Source Learning Module for Accessible and Engaging AI Education" (2024), published in the Proceedings of the AAAI Conference on Artificial Intelligence
"Self-Supervised Patch Localization for Cross-Domain Facial Action Unit Detection" (2021), presented at the 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021)

Frequent coauthors collaborating with Soleymani include:

Yufeng Yin
Minh Tran
Minh Trần
Zhonghao Shi
Zongjian Li

The scholar regularly publishes in venues such as:

arXiv (Cornell University)
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021)
IEEE Transactions on Affective Computing
IEEE Transactions on Cognitive and Developmental Systems

Best Publications

DEAP: A Database for Emotion Analysis ;Using Physiological Signals

S. Koelstra;C. Muhl;M. Soleymani;Jong-Seok Lee

5020
Citations
A Multimodal Database for Affect Recognition and Implicit Tagging

M. Soleymani;J. Lichtenauer;T. Pun;M. Pantic

1739
Citations
Multimodal Emotion Recognition in Response to Videos

M. Soleymani;M. Pantic;T. Pun

842
Citations
Analysis of EEG Signals and Facial Expressions for Continuous Emotion Detection

Mohammad Soleymani;Sadjad Asghari-Esfeden;Yun Fu;Maja Pantic

599
Citations
A survey of multimodal sentiment analysis

Mohammad Soleymani;David García;Brendan Jou;Björn W. Schuller;Björn W. Schuller;Björn W. Schuller

590
Citations
Short-term emotion assessment in a recall paradigm

Guillaume Chanel;Joep J. M. Kierkels;Mohammad Soleymani;Thierry Pun

456
Citations
AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition

Fabien Ringeval;Björn Schuller;Michel Valstar;Nicholas Cummins

282
Citations
Polysemous Visual-Semantic Embedding for Cross-Modal Retrieval

Yale Song;Mohammad Soleymani

265
Citations
Developing a benchmark for emotional analysis of music

Anna Aljanaki;Yi Hsuan Yang;Mohammad Soleymani

238
Citations
Single trial classification of EEG and peripheral physiological signals for recognition of emotions induced by music videos

Sander Koelstra;Ashkan Yazdani;Mohammad Soleymani;Christian Mühl

223
Citations
1000 songs for emotional analysis of music

Mohammad Soleymani;Micheal N. Caro;Erik M. Schmidt;Cheng-Ya Sha

222
Citations
AFFECTIVE CHARACTERIZATION OF MOVIE SCENES BASED ON CONTENT ANALYSIS AND PHYSIOLOGICAL CHANGES

Mohammad Soleymani;Guillaume Chanel;Joep Johannes Maria Kierkels;Thierry Pun

207
Citations
Automatic tagging and geotagging in video collections and communities

Martha Larson;Mohammad Soleymani;Pavel Serdyukov;Stevan Rudinac

143
Citations
Affective Characterization of Movie Scenes Based on Multimedia Content Analysis and User's Physiological Emotional Responses

M. Soleymani;G. Chanel;J. Kierkels;T. Pun

142
Citations
Affective ranking of movie scenes using physiological signals and content analysis

Mohammad Soleymani;Guillaume Chanel;Joep J.M. Kierkels;Thierry Pun

131
Citations
Crowdsourcing for Affective Annotation of Video: Development of a Viewer-reported Boredom Corpus

Mohammad Soleymani;Martha Larson

126
Citations
Continuous emotion detection using EEG signals and facial expressions

Mohammad Soleymani;Sadjad Asghari-Esfeden;Maja Pantic;Yun Fu

118
Citations
A Bayesian framework for video affective representation

Mohammad Soleymani;Joep J.M. Kierkels;Guillaume Chanel;Thierry Pun

101
Citations
Affective Computing for Large-scale Heterogeneous Multimedia Data: A Survey

Sicheng Zhao;Shangfei Wang;Mohammad Soleymani;Dhiraj Joshi

99
Citations
Continuous emotion detection in response to music videos

Mohammad Soleymani;Sander Koelstra;Ioannis Patras;Thierry Pun

96
Citations
VSD, a public dataset for the detection of violent scenes in movies: design, annotation, analysis and evaluation

Claire-Hélène Demarty;Cédric Penet;Mohammad Soleymani;Guillaume Gravier

78
Citations

Frequent Co-Authors

Thierry Pun University of Geneva

Maja Pantic Imperial College London

Martha Larson Radboud University

Yi-Hsuan Yang National Taiwan University

Björn Schuller Imperial College London

Shih-Fu Chang Columbia University

Guillaume Gravier Centre national de la recherche scientifique, CNRS

Alan Hanjalic Delft University of Technology

Gareth J. F. Jones Dublin City University

David Rudrauf University of Geneva

External Links

Personal website of Mohammad Soleymani

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