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Christopher J. Taylor

Christopher J. Taylor

Award Badge
Computer Science
UK
2025

D-Index & Metrics

Computer Science

D-Index
84
Citations
49757
World Ranking
823
National Ranking
41

Research.com Recognitions

  • 2025 - Research.com Computer Science in United Kingdom Leader Award
  • 2023 - Research.com Computer Science in United Kingdom Leader Award
  • 2022 - Research.com Computer Science in United Kingdom Leader Award

Overview

Christopher J. Taylor is affiliated with Atkins in the United Kingdom and engages primarily in research within the fields of Medicine and Environmental Science.

The scientist's work spans several specialized subfields, including Pathology and Forensic Medicine, Global and Planetary Change, Ecology, Nature and Landscape Conservation, and Surgery.

Key research topics addressed in their publications include:

  • Systemic Sclerosis and Related Diseases
  • Fire effects on ecosystems
  • Rangeland and Wildlife Management
  • Ecology and Vegetation Dynamics Studies
  • Wildlife Ecology and Conservation
  • Landslides and related hazards
  • Autoimmune Bullous Skin Diseases

Christopher J. Taylor has contributed to several recent papers, notable for their focus on ecological and environmental challenges as well as epidemiological methods. Examples include:

  • New spatial analyses of Australian wildfires highlight the need for new fire, resource, and conservation policies (2020, Proceedings of the National Academy of Sciences)
  • Recent Australian wildfires made worse by logging and associated forest management (2020, Nature Ecology & Evolution)
  • The response of arboreal marsupials to long-term changes in forest disturbance (2020, Animal Conservation)
  • Understanding and responding to COVID-19 in Wales: protocol for a privacy-protecting data platform for enhanced epidemiology and evaluation of interventions (2020, BMJ Open)
  • Defect Detection and Classification by Training a Generic Convolutional Neural Network Encoder (2020, IEEE Transactions on Signal Processing)

Frequent collaborators include David B. Lindenmayer, Ariane L. Herrick, Andrea Murray, Graham Dinsdale, and Joanne Manning, with whom Taylor has coauthored multiple publications.

Christopher J. Taylor's research has been published in a variety of academic venues. Most frequently, these include:

  • Lara D. Veeken
  • arXiv (Cornell University)
  • Austral Ecology
  • Pacific Conservation Biology
  • Trials

Best Publications

  • Active shape models—their training and application

    T. F. Cootes;C. J. Taylor;D. H. Cooper;J. Graham

  • Active appearance models

    T.F. Cootes;G.J. Edwards;C.J. Taylor

  • Active Appearance Models

    Timothy F. Cootes;Gareth J. Edwards;Christopher J. Taylor

  • Use of active shape models for locating structures in medical images

    Timothy F. Cootes;Andrew Hill;Christopher J. Taylor;J. Haslam

  • Active shape models - 'Smart Snakes'.

    Timothy F. Cootes;Christopher J. Taylor

  • Toward automatic simulation of aging effects on face images

    A. Lanitis;C.J. Taylor;T.F. Cootes

  • Automatic interpretation and coding of face images using flexible models

    A. Lanitis;C.J. Taylor;T.F. Cootes

  • Training Models of Shape from Sets of Examples

    Timothy F. Cootes;Christopher J. Taylor;David H. Cooper;Jim Graham

  • Medical Image Computing and Computer-Assisted Intervention

    G Z Yang;D Hawkes;D Rueckert;J A Noble

  • Interpreting face images using active appearance models

    G.J. Edwards;C.J. Taylor;T.F. Cootes

  • A minimum description length approach to statistical shape modeling

    R.H. Davies;C.J. Twining;T.F. Cootes;J.C. Waterton

  • Automatic face identification system using flexible appearance models

    Andreas Lanitis;Christopher J. Taylor;Timothy F. Cootes

  • View-based active appearance models

    Timothy F. Cootes;Gavin V. Wheeler;Kevin N. Walker;Christopher J. Taylor

  • Statistical models of appearance for medical image analysis and computer vision

    Timothy F. Cootes;Christopher J. Taylor

  • Face Recognition Using Active Appearance Models

    Gareth J. Edwards;Timothy F. Cootes;Christopher J. Taylor

  • View-based active appearance models

    T.F. Cootes;K. Walker;C.J. Taylor

  • Active Shape Models - 'smart snakes'

    Unknown

  • A mixture model for representing shape variation

    Timothy F. Cootes;Christopher J. Taylor

  • Medical Image Computing and Computer-Assisted Intervention – MICCAI’99

    Chris Taylor;Alain Colchester

  • Evaluation of 3D correspondence methods for model building.

    Martin A. Styner;Kumar T. Rajamani;Lutz-Peter Nolte;Gabriel Zsemlye

  • The Use of Active Shape Models for Locating Structures in Medical Images

    Timothy F. Cootes;A. Hill;Christopher J. Taylor;J. Haslam

Frequent Co-Authors

Timothy F. Cootes
Timothy F. Cootes University of Manchester
Dimitri M. Kullmann
Dimitri M. Kullmann University College London
John Allen
John Allen Coventry University
David J. Hawkes
David J. Hawkes University College London
Daniel Rueckert
Daniel Rueckert Technical University of Munich
John Derrick
John Derrick University of Sheffield
Chris Roberts
Chris Roberts University of Sydney
Wendy Thomson
Wendy Thomson University of Manchester
Anne Hinks
Anne Hinks University of Manchester
Guang-Zhong Yang
Guang-Zhong Yang Shanghai Jiao Tong University

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