2026 David Holder: Engineering and Technology Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Engineering and Technology	52	3590	3438	240	222	244	11308

Overview

David Holder is affiliated with University College London in the United Kingdom and has contributed extensively to research at the intersection of neuroscience, engineering, and medicine. Their work is primarily focused on areas such as electrical and bioimpedance tomography, vagus nerve stimulation, and neural engineering.

The main fields of study covered in David Holder's research include:

Neuroscience
Engineering
Medicine

Within these fields, their subfields of study incorporate:

Neurology
Electrical and Electronic Engineering
Cardiology and Cardiovascular Medicine
Cellular and Molecular Neuroscience
Biomedical Engineering

Their research spans several interconnected topics, including:

Electrical and Bioimpedance Tomography
Vagus Nerve Stimulation Research
Neuroscience and Neural Engineering
Muscle activation and electromyography studies
Cardiac Arrhythmias and Treatments
EEG and Brain-Computer Interfaces
Hemodynamic Monitoring and Therapy

David Holder has published in various academic venues with multiple contributions to:

Journal of Neuroscience Methods
Physiological Measurement
bioRxiv (Cold Spring Harbor Laboratory)
The FASEB Journal
Frontiers in Neuroscience

Notable recent papers include:

Model-based geometrical optimisation and in vivo validation of a spatially selective multielectrode cuff array for vagus nerve neuromodulation (2021, Journal of Neuroscience Methods)
MicroCT optimisation for imaging fascicular anatomy in peripheral nerves (2020, Journal of Neuroscience Methods)
Imaging fascicular organization of rat sciatic nerves with fast neural electrical impedance tomography (2020, Nature Communications)
Selective Vagus Nerve Stimulation as a Therapeutic Approach for the Treatment of ARDS: A Rationale for Neuro-Immunomodulation in COVID-19 Disease (2021, Frontiers in Neuroscience)
In vivo imaging of deep neural activity from the cortical surface during hippocampal epileptiform events in the rat brain using electrical impedance tomography (2020, NeuroImage)

Throughout their career, David Holder has frequently collaborated with other researchers, including:

Kirill Aristovich
Svetlana Mastitskaya
Enrico Ravagli
Nicole Thompson
Francesco Iacoviello

Best Publications

Effect of skin impedance on image quality and variability in electrical impedance tomography: a model study

K. G. Boone;D. S. Holder

3096
Citations
Electrical Impedance Tomography : Methods, History and Applications

David S. Holder.

1219
Citations
Three-dimensional electrical impedance tomography of human brain activity.

Tom Tidswell;Adam Gibson;Richard H. Bayford;David S. Holder

261
Citations
Electrical impedance tomography of human brain function using reconstruction algorithms based on the finite element method.

Andrew P Bagshaw;Adam D Liston;Richard H Bayford;Andrew Tizzard

227
Citations
A review of errors in multi-frequency EIT instrumentation

A McEwan;G Cusick;D S Holder

191
Citations
Imaging fast electrical activity in the brain with electrical impedance tomography

Kirill Y. Aristovich;Brett C. Packham;Hwan Koo;Gustavo Sato dos Santos

171
Citations
Clinical and physiological applications of electrical impedance tomography

D Holder

168
Citations
Multi-frequency electrical impedance tomography (EIT) of the adult human head: initial findings in brain tumours, arteriovenous malformations and chronic stroke, development of an analysis method and calibration

A. Romsauerova;A. McEwan;Lior Horesh;Rebecca J. Yerworth

167
Citations
Use of anisotropic modelling in electrical impedance tomography: description of method and preliminary assessment of utility in imaging brain function in the adult human head.

Juan-Felipe P.J. Abascal;Simon R. Arridge;David Atkinson;Raya Horesh

150
Citations
Design and calibration of a compact multi-frequency EIT system for acute stroke imaging

A. McEwan;A. Romsauerova;Rebecca J. Yerworth;Lior Horesh

146
Citations
Electrical impedance tomography method and apparatus

Kevin Graham Boone;David Simon Holder

146
Citations
Current approaches to analogue instrumentation design in electrical impedance tomography

K G Boone;D S Holder

136
Citations
Multi-frequency EIT system with radially symmetric architecture: KHU Mark1.

Tong In Oh;Eung Je Woo;David Holder

122
Citations
Multifrequency Electrical Impedance Tomography Using Spectral Constraints

Emma Malone;Gustavo Sato dos Santos;David Holder;Simon Arridge

121
Citations
Electrical impedance tomography spectroscopy (EITS) for human head imaging

Rebecca J. Yerworth;Richard Bayford;Richard Bayford;B. Brown;P. Milnes

120
Citations
Generating accurate finite element meshes for the forward model of the human head in EIT.

Andrew Tizzard;Lior Horesh;Rebecca J. Yerworth;David S. Holder

113
Citations
Electrical impedance tomography

D Holder

110
Citations
A Versatile and Reproducible Multi-Frequency Electrical Impedance Tomography System.

James Avery;Thomas Dowrick;Mayo Faulkner;Nir Goren

105
Citations
Electrical impedance tomography (EIT) of brain function.

D. S. Holder

100
Citations
Imaging cerebral haemorrhage with magnetic induction tomography: numerical modelling

M Zolgharni;P D Ledger;D W Armitage;D S Holder

95
Citations
Electrical Impedance Tomography of brain function

D.S. Holder

52
Citations