Vangelis P. Oikonomou

Author

Information Technologies Institute ORCID

Also Known As

Nikolopoulos, Spiros, Oikonomou, Vangelis, Oikonomou, Vangelis P., V. P. OIKONOMOU, V. P. Oikonomou, V.P. Oikonomou, VANGELIS P. OIKONOMOU, VANGELIS P. OIKONOMOU , (Member, IEEE), SPIROS NIKOLOPOULOS, (Member, IEEE), AND IOANNIS KOMPATSIARIS , (Senior Member, IEEE), Vangelis P Oikonomou, Vangelis P. Oikonomou

Publications

722

Citations

H-Index

Concepts

All Affiliations

Information Technologies Institute Centre for Research and Technology Hellas Aristotle University of Thessaloniki University of Ioannina Greek Association of Alzheimer's Disease and Related Disorders

About

Vangelis P. Oikonomou is an author at Information Technologies Institute specializing in engineering, neuroimaging, and data science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	10	10	276
2	Social Sciences	8	8	234
3	Public Health	3	3	44
4	Management	1	1	37
5	Medicine	1	1	69

Vangelis P. Oikonomou

Publications

582

Citations

H-Index

Page 1

	Year	Citations
A Kalman filter based methodology for EEG spike enhancement Vangelis P. Oikonomou, Alexandros T. Tzallas, Dimitrios I. Fotiadis Computer Methods and Programs in Biomedicine NeurophysiologyComputational NeuroscienceEeg Signal ProcessingNeuroscienceElectrophysiology	2006	81
A Comparison Study on EEG Signal Processing Techniques Using Motor Imagery EEG Data Vangelis P. Oikonomou, Kostas Georgiadis, George Liaros, EngineeringMachine LearningBiometricsBraincomputer InterfaceMotor Control	2017	69
Comparative evaluation of state-of-the-art algorithms for SSVEP-based BCIs Vangelis P. Oikonomou, Georgios Liaros, Kostantinos Georgiadis, arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningFeature ExtractionIntelligent Systems	2016	41
A Sparse and Spatially Constrained Generative Regression Model for fMRI Data Analysis Vangelis P. Oikonomou, Konstantinos Blekas, Loukas G. Astrakas IEEE Transactions on Biomedical Engineering Fmri Data AnalysisEngineeringBrain MappingSocial SciencesFmri Time Series	2011	38
Unlocking the Subconscious Consumer Bias: A Survey on the Past, Present, and Future of Hybrid EEG Schemes in Neuromarketing Fotis P. Kalaganis, Kostas Georgiadis, Vangelis P. Oikonomou, Frontiers in Neuroergonomics NeuropsychologyBehavioral Decision MakingConsumer ResearchRevealed PreferenceElectroencephalography	2021	37
Comparative Evaluation Of State-Of-The-Art Algorithms For Ssvep-Based Bcis Vangelis P. Oikonomou, Georgios Liaros, Kostantinos Georgiadis, arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningFeature ExtractionIntelligent Systems	2016	36
A Novel Connectome-based Electrophysiological Study of Subjective Cognitive Decline Related to Alzheimer’s Disease by Using Resting-state High-density EEG EGI GES 300 Ioulietta Lazarou, Kostas Georgiadis, Spiros Nikolopoulos, Brain Sciences	2020	31
A Bayesian Multiple Kernel Learning Algorithm for SSVEP BCI Detection Vangelis P. Oikonomou, Spiros Nikolopoulos, Ioannis Kompatsiaris IEEE Journal of Biomedical and Health Informatics	2018	25
RNeuMark: A Riemannian EEG Analysis Framework for Neuromarketing Kostas Georgiadis, Fotis P. Kalaganis, Vangelis P. Oikonomou, Brain Informatics	2022	23
A Sparse Representation Classification Scheme for the Recognition of Affective and Cognitive Brain Processes in Neuromarketing Vangelis P. Oikonomou, Kostas Georgiadis, Fotis P. Kalaganis, Sensors EngineeringMachine LearningLinear CombinationAffective NeuroscienceSparse Bayesian Framework	2023	19

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