Wouter Marijn van Vliet

Wouter Marijn van Vliet

Aalto-yliopisto

H-index: 13

Europe-Finland

About Wouter Marijn van Vliet

Wouter Marijn van Vliet, With an exceptional h-index of 13 and a recent h-index of 12 (since 2020), a distinguished researcher at Aalto-yliopisto, specializes in the field of MEG, EEG, Multivariate Analysis, Machine Learning, Computational Modeling.

His recent articles reflect a diverse array of research interests and contributions to the field:

Semantic feature norms: a cross-method and cross-language comparison

Cortical time-course of evidence accumulation during semantic processing

Trials and tribulations when attempting to decode semantic representations from MEG responses to written text

Test-retest reliability of MEG functional brain connectivity related to language processing

Processing and Decoding Steady-State Visual Evoked Potentials for Brain-Computer Interfaces

Good scientific practice in EEG and MEG research: Progress and perspectives

The neural representation of abstract words may arise through grounding word meaning in language itself

Post-hoc modification of linear models: Combining machine learning with domain information to make solid inferences from noisy data

Wouter Marijn van Vliet Information

University

Position

Research Software Engineer School of Science

Citations(all)

787

Citations(since 2020)

469

Cited By

476

hIndex(all)

13

hIndex(since 2020)

12

i10Index(all)

17

i10Index(since 2020)

12

Email

University Profile Page

Aalto-yliopisto

Google Scholar

View Google Scholar Profile

Wouter Marijn van Vliet Skills & Research Interests

MEG

EEG

Multivariate Analysis

Machine Learning

Computational Modeling

Top articles of Wouter Marijn van Vliet

Title

Journal

Author(s)

Publication Date

Semantic feature norms: a cross-method and cross-language comparison

Behavior Research Methods

Sasa L Kivisaari

Annika Hultén

Marijn van Vliet

Tiina Lindh-Knuutila

Riitta Salmelin

2023/12/20

Cortical time-course of evidence accumulation during semantic processing

Communications Biology

Gayane Ghazaryan

Marijn van Vliet

Lotta Lammi

Tiina Lindh-Knuutila

Sasa Kivisaari

...

2023/12/8

Trials and tribulations when attempting to decode semantic representations from MEG responses to written text

Language, Cognition and Neuroscience

Gayane Ghazaryan

Marijn van Vliet

Aino Saranpää

Lotta Lammi

Tiina Lindh-Knuutila

...

2023/6/13

Test-retest reliability of MEG functional brain connectivity related to language processing

bioRxiv

Heidi Ala-Salomäki

Marijn van Vliet

Jan Kujala

Timo Roine

Mia Liljeström

...

2023

Processing and Decoding Steady-State Visual Evoked Potentials for Brain-Computer Interfaces

Nikolay Chumerin

Nikolay V Manyakov

Marijn Van Vliet

Arne Robben

Adrien Combaz

...

2022/9/1

Good scientific practice in EEG and MEG research: Progress and perspectives

Guiomar Niso

Laurens R Krol

Etienne Combrisson

A Sophie Dubarry

Madison A Elliott

...

2022/8/15

The neural representation of abstract words may arise through grounding word meaning in language itself

Human brain mapping

Annika Hultén

Marijn van Vliet

Sasa Kivisaari

Lotta Lammi

Tiina Lindh‐Knuutila

...

2021/10/15

Post-hoc modification of linear models: Combining machine learning with domain information to make solid inferences from noisy data

NeuroImage

Marijn van Vliet

Riitta Salmelin

2020/1/1

MNE-RSA: Representational similarity analysis using MNE-Python datastructures

Marijn van Vliet

2020/4/21

Seven quick tips for analysis scripts in neuroimaging

PLoS computational biology

Marijn Van Vliet

2020/3/26

See List of Professors in Wouter Marijn van Vliet University(Aalto-yliopisto)

Co-Authors

H-index: 69
Riitta Salmelin

Riitta Salmelin

Aalto-yliopisto

H-index: 64
Wim Fias

Wim Fias

Universiteit Gent

H-index: 36
Mannes Poel

Mannes Poel

Universiteit Twente

H-index: 26
Jan Kujala

Jan Kujala

Jyväskylän yliopisto

H-index: 14
Mia Liljeström

Mia Liljeström

Aalto-yliopisto

academic-engine