D-Index & Metrics Best Publications
Computer Science
UK
2023

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
Computer Science D-index 73 Citations 29,268 407 World Ranking 945 National Ranking 62

Research.com Recognitions

Awards & Achievements

2023 - Research.com Computer Science in United Kingdom Leader Award

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Statistics
  • Computer vision

The scientist’s investigation covers issues in Nuclear physics, Particle physics, Large Hadron Collider, Artificial intelligence and Atlas detector. His studies deal with areas such as Boson and Higgs boson as well as Nuclear physics. Christopher J. Taylor interconnects Atlas and Lepton in the investigation of issues within Particle physics.

His Large Hadron Collider study combines topics from a wide range of disciplines, such as Supersymmetry, Atlas, Monte Carlo method and Invariant mass. His Artificial intelligence study combines topics in areas such as Computer vision and Pattern recognition. The concepts of his Atlas detector study are interwoven with issues in Transverse momentum, Pseudorapidity, Photon, Collision and Elliptic flow.

His most cited work include:

  • Observation of a new particle in the search for the Standard Model Higgs boson with the ATLAS detector at the LHC (8435 citations)
  • Active appearance models (4896 citations)
  • Active Appearance Models (1617 citations)

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

Christopher J. Taylor focuses on Artificial intelligence, Nuclear physics, Particle physics, Large Hadron Collider and Computer vision. In his study, which falls under the umbrella issue of Artificial intelligence, Face, Facial recognition system and Pixel is strongly linked to Pattern recognition. Christopher J. Taylor has included themes like Atlas and Atlas in his Nuclear physics study.

Much of his study explores Particle physics relationship to Lepton. Christopher J. Taylor works mostly in the field of Large Hadron Collider, limiting it down to concerns involving Quantum chromodynamics and, occasionally, Rapidity. He combines subjects such as Algorithm, Shape analysis and Point distribution model with his study of Active shape model.

He most often published in these fields:

  • Artificial intelligence (33.08%)
  • Nuclear physics (30.81%)
  • Particle physics (29.29%)

What were the highlights of his more recent work (between 2011-2021)?

  • Nuclear physics (30.81%)
  • Particle physics (29.29%)
  • Large Hadron Collider (25.76%)

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

Christopher J. Taylor mainly focuses on Nuclear physics, Particle physics, Large Hadron Collider, Atlas detector and Lepton. The various areas that Christopher J. Taylor examines in his Nuclear physics study include Atlas and Atlas. His biological study spans a wide range of topics, including Standard Model, Proton and Luminosity.

The Large Hadron Collider study combines topics in areas such as Invariant mass, Hadron, Quantum chromodynamics and Higgs boson. His Atlas detector research integrates issues from Transverse momentum, Pseudorapidity, Photon, Collision and Elliptic flow. His work carried out in the field of Lepton brings together such families of science as Minimal Supersymmetric Standard Model, Pion and Neutrino.

Between 2011 and 2021, his most popular works were:

  • Observation of a new particle in the search for the Standard Model Higgs boson with the ATLAS detector at the LHC (8435 citations)
  • Combined search for the Standard Model Higgs boson using up to 4.9 fb-1 of pp collision data at s=7TeV with the ATLAS detector at the LHC (569 citations)
  • Improved luminosity determination in pp collisions at root s=7 TeV using the ATLAS detector at the LHC (439 citations)

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

Active appearance models

T.F. Cootes;G.J. Edwards;C.J. Taylor.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2001)

6678 Citations

Use of active shape models for locating structures in medical images

Timothy F. Cootes;Andrew Hill;Christopher J. Taylor;J. Haslam.
Image and Vision Computing (1994)

1345 Citations

Active shape models - 'Smart Snakes'.

Timothy F. Cootes;Christopher J. Taylor.
british machine vision conference (1992)

1210 Citations

Toward automatic simulation of aging effects on face images

A. Lanitis;C.J. Taylor;T.F. Cootes.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2002)

1078 Citations

Automatic interpretation and coding of face images using flexible models

A. Lanitis;C.J. Taylor;T.F. Cootes.
IEEE Transactions on Pattern Analysis and Machine Intelligence (1997)

1003 Citations

Training Models of Shape from Sets of Examples

Timothy F. Cootes;Christopher J. Taylor;David H. Cooper;Jim Graham.
british machine vision conference (1992)

842 Citations

Interpreting face images using active appearance models

G.J. Edwards;C.J. Taylor;T.F. Cootes.
ieee international conference on automatic face and gesture recognition (1998)

773 Citations

View-based active appearance models

Timothy F. Cootes;Gavin V. Wheeler;Kevin N. Walker;Christopher J. Taylor.
Image and Vision Computing (2002)

676 Citations

Automatic face identification system using flexible appearance models

Andreas Lanitis;Christopher J. Taylor;Timothy F. Cootes.
Image and Vision Computing (1995)

671 Citations

Statistical models of appearance for medical image analysis and computer vision

Timothy F. Cootes;Christopher J. Taylor.
Medical Imaging: Image Processing;SPIE; 2001. (2001)

563 Citations

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