Andreas Daffertshofer

Andreas Daffertshofer

Vrije Universiteit Amsterdam

H-index: 61

Europe-Netherlands

About Andreas Daffertshofer

Andreas Daffertshofer, With an exceptional h-index of 61 and a recent h-index of 38 (since 2020), a distinguished researcher at Vrije Universiteit Amsterdam, specializes in the field of Neuroscience, Complex systems.

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

Overlap in the cortical representation of hand and forearm muscles as assessed by navigated TMS

The energetic effect of hip flexion and retraction in walking at different speeds: a modeling study

frontiers ORIGINAL RESEARCH in Network Physiology published: 24 March 2022

Machine learning approaches to predicting whether muscles can be elicited via TMS

Does ankle push-off correct for errors in anterior–posterior foot placement relative to center-of-mass states?

Development of running is not related to time since onset of independent walking, a longitudinal case study

Accounting for Stimulations That Do Not Elicit Motor-Evoked Potentials When Mapping Cortical

Unimanual sensorimotor learning—A simultaneous EEG‐fMRI aging study

Andreas Daffertshofer Information

University

Position

Professor of Neural Dynamics

Citations(all)

16199

Citations(since 2020)

6664

Cited By

12275

hIndex(all)

61

hIndex(since 2020)

38

i10Index(all)

161

i10Index(since 2020)

108

Email

University Profile Page

Vrije Universiteit Amsterdam

Google Scholar

View Google Scholar Profile

Andreas Daffertshofer Skills & Research Interests

Neuroscience

Complex systems

Top articles of Andreas Daffertshofer

Title

Journal

Author(s)

Publication Date

Overlap in the cortical representation of hand and forearm muscles as assessed by navigated TMS

Neuroimage: Reports

Fang Jin

Sjoerd M Bruijn

Andreas Daffertshofer

2023/9/1

The energetic effect of hip flexion and retraction in walking at different speeds: a modeling study

PeerJ

Jian Jin

Dinant Kistemaker

Jaap H van Dieën

Andreas Daffertshofer

Sjoerd M Bruijn

2023/1/18

frontiers ORIGINAL RESEARCH in Network Physiology published: 24 March 2022

Network physiology, insights in systems interactions and organ networks: 2021

Plamen Ch Ivanov

Jennifer Lentz

Neslihan Serap Sengor

Tina Munjal

Alexander N Silchenko

...

2023/6/6

Machine learning approaches to predicting whether muscles can be elicited via TMS

bioRxiv

Fang Jin

Sjoerd Bruijn

Andreas Daffertshofer

2023

Does ankle push-off correct for errors in anterior–posterior foot placement relative to center-of-mass states?

PeerJ

Jian Jin

Jaap H van Dieen

Dinant Kistemaker

Andreas Daffertshofer

Sjoerd M Bruijn

2023/5/29

Development of running is not related to time since onset of independent walking, a longitudinal case study

Frontiers in Human Neuroscience

Margit M Bach

Coen S Zandvoort

Germana Cappellini

Yury Ivanenko

Francesco Lacquaniti

...

2023/2/16

Accounting for Stimulations That Do Not Elicit Motor-Evoked Potentials When Mapping Cortical

TMS application in both health and disease

Fang Jin

Sjoerd M Bruijn

Andreas Daffertshofer

2023/2/6

Unimanual sensorimotor learning—A simultaneous EEG‐fMRI aging study

Human Brain Mapping

Sabrina Chettouf

Paul Triebkorn

Andreas Daffertshofer

Petra Ritter

2022/5

Body weight control is a key element of motor control for toddlers’ walking

Frontiers in Network Physiology

Jennifer N Kerkman

Coen S Zandvoort

Andreas Daffertshofer

Nadia Dominici

2022

Predicting vertical ground reaction forces from 3D accelerometry using reservoir computers leads to accurate gait event detection

Frontiers in sports and active living

Margit M Bach

Nadia Dominici

Andreas Daffertshofer

2022/10/26

Cortical contributions to locomotor primitives in toddlers and adults

Iscience

Coen S Zandvoort

Andreas Daffertshofer

Nadia Dominici

2022/10/21

Is phase-dependent stability related to phase-dependent gait robustness?

bioRxiv

Jian Jin

Dinant Kistemaker

Jaap H van Dieën

Andreas Daffertshofer

Sjoerd M Bruijn

2022/9/22

Early development of locomotor patterns and motor control in very young children at high risk of cerebral palsy, a longitudinal case series

Frontiers in Human Neuroscience

Annike Bekius

Margit M Bach

Laura A Van de Pol

Jaap Harlaar

Andreas Daffertshofer

...

2021/6/3

Effect of aging-related network changes on unimanual sensorimotor learning–a simultaneous EEG-fMRI study

bioRxiv

Sabrina Chettouf

Paul Triebkorn

Andreas Daffertshofer

Petra Ritter

2021/2/16

Muscle synergies in children walking and running on a treadmill

Frontiers in human neuroscience

Margit M Bach

Andreas Daffertshofer

Nadia Dominici

2021/5/10

The validation of new phase-dependent gait stability measures: a modelling approach

Royal Society Open Science

Jian Jin

Dinant Kistemaker

Jaap van Dieen

Andreas Daffertshofer

Sjoerd Bruijn

2021

Reduced Phase Models of Oscillatory Neural Networks

Bastian Pietras

Andreas Daffertshofer

2021/5/6

Ankle muscles drive mediolateral center of pressure control to ensure stable steady state gait

Scientific reports

AM Van Leeuwen

JH Van Dieën

A Daffertshofer

SM Bruijn

2021/11/2

On the validity of neural mass models

Frontiers in computational neuroscience

Nicolás Deschle

Juan Ignacio Gossn

Prejaas Tewarie

Björn Schelter

Andreas Daffertshofer

2021/1/5

Differential sets of cortical muscle synergy signatures during adult locomotion

Coen S Zandvoort

Andreas Daffertshofer

Nadia Dominici

2021/5/4

See List of Professors in Andreas Daffertshofer University(Vrije Universiteit Amsterdam)

Co-Authors

H-index: 112
Stam CJ

Stam CJ

Vrije Universiteit Amsterdam

H-index: 106
Jaap van Dieën

Jaap van Dieën

Vrije Universiteit Amsterdam

H-index: 93
Stephan Swinnen

Stephan Swinnen

Katholieke Universiteit Leuven

H-index: 92
GUSTAVO DECO

GUSTAVO DECO

Universidad Pompeu Fabra

H-index: 65
Alan Wing

Alan Wing

University of Birmingham

H-index: 62
Erwin E.H. van Wegen

Erwin E.H. van Wegen

Vrije Universiteit Amsterdam

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