World's Best Scientists 2026 revealed!
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Computer Science
UK
2025

D-Index & Metrics

Computer Science

D-Index
79
Citations
22467
World Ranking
1152
National Ranking
66

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
  • 2015 - Distinguished Fellow of the British Machine Vision Association (BMVA)
  • 2008 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to biometrics and computer vision.

Overview

Mark S. Nixon is affiliated with the University of Southampton in the United Kingdom. Their research spans multiple disciplines including Computer Science, Arts and Humanities, and Engineering. The scientist's work is distributed across several subfields, notably Computer Vision and Pattern Recognition, Literature and Literary Theory, Philosophy, Control and Systems Engineering, and Biomedical Engineering.

The key research topics explored by Mark S. Nixon include:

  • Gait Recognition and Analysis
  • Samuel Beckett and Modernism
  • Philosophy, Ethics, and Existentialism
  • Hand Gesture Recognition Systems
  • Kierkegaardian Philosophy and Influence
  • Human Pose and Action Recognition
  • Modernist Literature and Criticism

Their recent published papers cover several aspects of biometrics, behavior recognition, and gait analysis, including:

  • "Reinforcement learning approach to autonomous PID tuning," 2022, Computers & Chemical Engineering
  • "On Distinctiveness and Symmetry in Ear Biometrics," 2021, IEEE Transactions on Biometrics Behavior and Identity Science
  • "GaitASMS: gait recognition by adaptive structured spatial representation and multi-scale temporal aggregation," 2024, Neural Computing and Applications
  • "On parameterizing higher-order motion for behaviour recognition," 2020, Pattern Recognition
  • "TriGait: Hybrid Fusion Strategy for Multimodal Alignment and Integration in Gait Recognition," 2024, IEEE Transactions on Biometrics Behavior and Identity Science

Frequent co-authors collaborating with Mark S. Nixon include Dirk Van Hülle, Alberto S. Aguado, Yan Sun, Galina Kiryushina, and Einat Adar.

Mark S. Nixon has published primarily in venues such as:

  • Journal of Beckett Studies
  • IEEE Transactions on Biometrics Behavior and Identity Science
  • arXiv (Cornell University)
  • Endocrine Abstracts
  • Computers & Chemical Engineering

In addition to journal publications, they have contributions in books published by Cambridge University Press, Edinburgh University Press, Brill, and Primers in electronics and computer science. Notable book titles include:

  • "Samuel Beckett's Poetry," 2022, Cambridge University Press
  • "Samuel Beckett and Technology," 2021, Edinburgh University Press
  • "Beckett and Intermediality / Beckett, artiste intérmedial," 2020, Brill
  • "D'oh! Fourier," 2021, Primers in electronics and computer science

Recognition of their professional contributions includes being named a Distinguished Fellow of the British Machine Vision Association (BMVA) in 2015 and elected Fellow of the International Association for Pattern Recognition (IAPR) in 2008 for contributions to biometrics and computer vision.

Best Publications

  • Feature Extraction and Image Processing

    Mark S. Nixon;Alberto S. Aguado

  • WirelessHART: Applying Wireless Technology in Real-Time Industrial Process Control

    Jianping Song;Song Han;A.K. Mok;Deji Chen

  • Automatic extraction and description of human gait models for recognition purposes

    David Cunado;Mark S. Nixon;John N. Carter

  • Human Identification Based on Gait

    Mark S. Nixon;Tieniu N. Tan;Rama Chellappa

  • Automated person recognition by walking and running via model-based approaches

    Chew Yean Yam;Mark S Nixon;John N Carter

  • Super-resolution target identification from remotely sensed images using a Hopfield neural network

    A.J. Tatem;H.G. Lewis;P.M. Atkinson;M.S. Nixon

  • Force field feature extraction for ear biometrics

    David J. Hurley;Mark S. Nixon;John N. Carter

  • Using Gait as a Biometric, via Phase-weighted Magnitude Spectra

    David Cunado;Mark S. Nixon;John N. Carter

  • On a Large Sequence-Based Human Gait Database

    Jamie Shutler;Mike Grant;Mark S Nixon;John N Carter

  • Automatic Recognition by Gait

    M.S. Nixon;J.N. Carter

  • A robust snake implementation; a dual active contour

    S.R. Gunn;M.S. Nixon

  • Visual analysis of gait as a cue to identity

    Sarah V. Stevenage;Mark S. Nixon;Kate Vince

  • Feature Extraction Image Processing For Computer Vision

    Mark S. Nixon;Alberto S. Aguado

  • On automated model-based extraction and analysis of gait

    D.K. Wagg;M.S. Nixon

  • A survey on ear biometrics

    Ayman Abaza;Arun Ross;Christina Hebert;Mary Ann F. Harrison

  • Super-resolution land cover pattern prediction using a Hopfield neural network

    Andrew J. Tatem;Hugh G. Lewis;Peter M. Atkinson;Mark S. Nixon

  • A floor sensor system for gait recognition

    L. Middleton;A.A. Buss;A. Bazin;M.S. Nixon

  • On using gait in forensic biometrics

    Imed Bouchrika;Michaela Goffredo;John Carter;Mark Nixon

  • Automatic gait recognition by symmetry analysis

    James B. Hayfron-Acquah;Mark S. Nixon;John N. Carter

  • International Conference on Pattern Recognition

    Imed Bouchrika;John N. Carter;Mark S. Nixon;Rudolf Mörzinger

  • Audio- and Video-Based Biometric Person Authentication

    Josef Kittler;Mark S. Nixon

Frequent Co-Authors

John N. Carter
John N. Carter University of Southampton
Peter M. Atkinson
Peter M. Atkinson Lancaster University
Aloysius K. Mok
Aloysius K. Mok The University of Texas at Austin
Andrew J. Tatem
Andrew J. Tatem University of Southampton
Steve R. Gunn
Steve R. Gunn University of Southampton
Adam Prügel-Bennett
Adam Prügel-Bennett University of Southampton
Abdenour Hadid
Abdenour Hadid University of Oulu
Luc Van Gool
Luc Van Gool Institute for Computer Science, Artificial Intelligence and Technology (INSAIT)
Massimo Tistarelli
Massimo Tistarelli University of Sassari
Anastasios Doulamis
Anastasios Doulamis National Technical University of Athens

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