D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Engineering and Technology D-index 45 Citations 10,049 225 World Ranking 2590 National Ranking 187

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Electrical engineering
  • Internal medicine

David Holder focuses on Electrical impedance tomography, Biomedical engineering, Electrical impedance, Tomography and Iterative reconstruction. The concepts of his Electrical impedance tomography study are interwoven with issues in Acoustics, Artificial intelligence, Medical imaging, Human head and Reconstruction algorithm. His biological study spans a wide range of topics, including Scalp, Signal, Image impedance and Electroencephalography.

His work on Output impedance as part of general Electrical impedance study is frequently linked to Calibration, therefore connecting diverse disciplines of science. His research integrates issues of Image processing, Medical physics, Neuroscience and Temporal resolution in his study of Tomography. Within one scientific family, he focuses on topics pertaining to Voltage under Electronic engineering, and may sometimes address concerns connected to Impedance matching.

His most cited work include:

  • Effect of skin impedance on image quality and variability in electrical impedance tomography: a model study (1862 citations)
  • Electrical Impedance Tomography : Methods, History and Applications (707 citations)
  • Three-dimensional electrical impedance tomography of human brain activity. (160 citations)

What are the main themes of his work throughout his whole career to date?

Electrical impedance tomography, Biomedical engineering, Electrical impedance, Tomography and Human head are his primary areas of study. David Holder has included themes like Acoustics, Iterative reconstruction, Artificial intelligence, Algorithm and Electronic engineering in his Electrical impedance tomography study. His Algorithm study incorporates themes from Reconstruction algorithm and Inverse problem.

His work is dedicated to discovering how Biomedical engineering, Electroencephalography are connected with Neuroimaging and other disciplines. His studies in Electrical impedance integrate themes in fields like Neuroscience and Depolarization. In Tomography, he works on issues like Peripheral, which are connected to Neuromodulation.

He most often published in these fields:

  • Electrical impedance tomography (67.45%)
  • Biomedical engineering (41.18%)
  • Electrical impedance (25.10%)

What were the highlights of his more recent work (between 2017-2021)?

  • Electrical impedance tomography (67.45%)
  • Biomedical engineering (41.18%)
  • Peripheral (3.92%)

In recent papers he was focusing on the following fields of study:

His primary areas of study are Electrical impedance tomography, Biomedical engineering, Peripheral, Electrical impedance and Tomography. The Electrical impedance tomography study combines topics in areas such as Somatosensory system, Cerebral cortex, Ictal, Depolarization and Image impedance. His studies deal with areas such as Electrode array, Medical imaging, Fascicle, Neuromodulation and Sciatic nerve as well as Biomedical engineering.

The various areas that David Holder examines in his Peripheral study include Compound muscle action potential and Vagus nerve. David Holder focuses mostly in the field of Electrical impedance, narrowing it down to topics relating to Stereoelectroencephalography and, in certain cases, Subdural electrodes, Orientation and Signal. His Tomography research includes elements of Magnetic resonance imaging, Vagus nerve stimulation and Anatomy.

Between 2017 and 2021, his most popular works were:

  • Avoiding off-target effects in electrical stimulation of the cervical vagus nerve: Neuroanatomical tracing techniques to study fascicular anatomy of the vagus nerve (28 citations)
  • Imaging fast neural traffic at fascicular level with electrical impedance tomography: proof of principle in rat sciatic nerve. (26 citations)
  • Multi-frequency electrical impedance tomography and neuroimaging data in stroke patients. (18 citations)

In his most recent research, the most cited papers focused on:

  • Electrical engineering
  • Artificial intelligence
  • Geometry

His primary scientific interests are in Electrical impedance tomography, Biomedical engineering, Image impedance, Electrode array and Somatosensory system. His Electrical impedance tomography study is related to the wider topic of Electrical impedance. His Biomedical engineering research is multidisciplinary, relying on both Neuromodulation, Electrode fabrication and Coating.

His research in Image impedance intersects with topics in Optics, Depolarization and Nuclear magnetic resonance. His Electrode array research is multidisciplinary, incorporating perspectives in Electrical conductor, Waveform, Electrochemistry and Pulse. His Somatosensory system study combines topics in areas such as Thalamus, Nucleus, Biological neural network, Cortex and Output impedance.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

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

K. G. Boone;D. S. Holder.
Medical & Biological Engineering & Computing (1996)

3071 Citations

Electrical Impedance Tomography : Methods, History and Applications

David S. Holder..
Electrical Impedance Tomography. Series: Series in Medical Physics and Biomedical Engineering (2004)

1194 Citations

Three-dimensional electrical impedance tomography of human brain activity.

Tom Tidswell;Adam Gibson;Richard H. Bayford;David S. Holder.
NeuroImage (2001)

247 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.
NeuroImage (2003)

218 Citations

A review of errors in multi-frequency EIT instrumentation

A McEwan;G Cusick;D S Holder.
Physiological Measurement (2007)

165 Citations

Clinical and physiological applications of electrical impedance tomography

D Holder.
CRC Press (1993) (1993)

165 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.
Physiological Measurement (2006)

151 Citations

Electrical impedance tomography method and apparatus

Kevin Graham Boone;David Simon Holder.
Google Patents (1999) (1997)

146 Citations

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

A. McEwan;A. Romsauerova;Rebecca J. Yerworth;Lior Horesh.
Physiological Measurement (2006)

139 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.
NeuroImage (2008)

135 Citations

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