Marie Arsalidou

About Marie Arsalidou

Marie Arsalidou, With an exceptional h-index of 19 and a recent h-index of 17 (since 2020), a distinguished researcher at National Research University Higher School of Economics, specializes in the field of Cognitive development, Attention, Working memory, Neuroimaging, fMRI.

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

Quantitative meta-analyses of cognitive abilities in children with pediatric-onset multiple sclerosis

A machine learning investigation of factors that contribute to predicting cognitive performance: Difficulty level, reaction time and eye-movements

Effects of age, gender, and hemisphere on cerebrovascular hemodynamics in children and young adults: Developmental scores and machine learning classifiers

Multiple levels of mental attentional demand modulate peak saccade velocity and blink rate

Converging evidence for domain-general developmental trends of mental attentional capacity: validity and reliability of full and abbreviated measures

Parietal alpha oscillations: Cognitive load and mental toughness

Microstructural properties of white matter in the corpus callosum in neonates and children born preterm and full-term: Quantitative meta-analyses

Machine learning, eye movements and mathematical problem solving

Marie Arsalidou Information

University

Position

Associate Professor

Citations(all)

2956

Citations(since 2020)

1821

Cited By

1784

hIndex(all)

19

hIndex(since 2020)

17

i10Index(all)

25

i10Index(since 2020)

23

Email

University Profile Page

National Research University Higher School of Economics

Google Scholar

View Google Scholar Profile

Marie Arsalidou Skills & Research Interests

Cognitive development

Attention

Working memory

Neuroimaging

fMRI

Top articles of Marie Arsalidou

Title

Journal

Author(s)

Publication Date

Quantitative meta-analyses of cognitive abilities in children with pediatric-onset multiple sclerosis

Elena S Lysenko

Mariia D Bogdanova

Marie Arsalidou

2023/6

A machine learning investigation of factors that contribute to predicting cognitive performance: Difficulty level, reaction time and eye-movements

Decision Support Systems

Valentina Bachurina

Svetlana Sushchinskaya

Maxim Sharaev

Evgeny Burnaev

Marie Arsalidou

2022/4/1

Effects of age, gender, and hemisphere on cerebrovascular hemodynamics in children and young adults: Developmental scores and machine learning classifiers

Plos one

Marie Arsalidou

Nikolay Skuratov

Evgeny Khalezov

Alexander Bernstein

Evgeny Burnaev

...

2022/2/4

Multiple levels of mental attentional demand modulate peak saccade velocity and blink rate

Heliyon

Valentina Bachurina

Marie Arsalidou

2022/1/1

Converging evidence for domain-general developmental trends of mental attentional capacity: validity and reliability of full and abbreviated measures

Journal of Experimental Child Psychology

Adriana Milani

Juan Pascual-Leone

Marie Arsalidou

2022/10/1

Parietal alpha oscillations: Cognitive load and mental toughness

Brain Sciences

Natalia Zhozhikashvili

Ilya Zakharov

Victoria Ismatullina

Inna Feklicheva

Sergey Malykh

...

2022/8/26

Microstructural properties of white matter in the corpus callosum in neonates and children born preterm and full-term: Quantitative meta-analyses

Irina Buyanova

Elena Lysenko

Denis Grischuk

Victoria Afanasieva

Marie Arsalidou

2022/6/2

Machine learning, eye movements and mathematical problem solving

Journal of Vision

Maxim Sharaev

Svetlana Sushchinskaya

Valentina Bachurina

George Taranov

Evgeny Burnaev

...

2021/9/27

Eye-tracking indices of arithmetic operations

V Bachurina

K Konopkina

Y Sudorgina

N Kudryavtsev

M Arsalidou

2021

Cerebral white matter myelination and relations to age, gender, and cognition: a selective review

Irina S Buyanova

Marie Arsalidou

2021/7/6

Theoretical and Empirical Criteria for Selecting Cognitive Over-Performers: Data from a Primary School in Moscow

Advances in Cognitive Research, Artificial Intelligence and Neuroinformatics: Proceedings of the 9th International Conference on Cognitive Sciences, Intercognsci-2020, October 10-16, 2020, Moscow, Russia

Elena Khoroshkova

Valeria Sizova

Anastasiia Liashenko

Marie Arsalidou

2021/5/19

Individual differences in mathematical problem-solving

International Journal of Early Childhood

T Vessonen

Heidi Hellstrand

Pirjo Aunio

Anu Laine

2023/6/21

Predicting cognitive performance using eye-movements, reaction time and difficulty level.

Journal of Vision

Marie Arsalidou

Valentina Bachurina

Svetlana Sushchinskaya

Maxim Sharaev

Evgeny Burnaev

2021/9/27

Mental attention and different aspects of inhibitory control

V Bachurina

M Arsalidou

2021

Attentional strategies during mental arithmetic

Journal of Vision

Valentina Bachurina

Marie Arsalidou

2021/9/27

Colour Matching Task: Replicability and reliability in primary school children in Moscow

AK Liashenko

M Arsalidou

2021

Spatial migration of human reward processing with functional development: Evidence from quantitative meta‐analyses

Human Brain Mapping

Zachary A Yaple

Rongjun Yu

Marie Arsalidou

2020/10/1

Basal ganglia lateralization in different types of reward

Brain Imaging and Behavior

Marie Arsalidou

Sagana Vijayarajah

Maksim Sharaev

2020/12

Cognitive brain signatures of youth with early onset and relatives with schizophrenia: evidence from fMRI meta-analyses

Schizophrenia Bulletin

Marie Arsalidou

Zachary Yaple

Tomas Jurcik

Vadim Ushakov

2020/1/24

FMRI Correlates of Mental Attentional Capacity in Children: Data from Moscow Schools

Andrei Faber

Irina Matiulko

Marie Arsalidou

2020/10/21

See List of Professors in Marie Arsalidou University(National Research University Higher School of Economics)