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

D-Index & Metrics

Computer Science

D-Index
81
Citations
46214
World Ranking
989
National Ranking
51

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
  • 2013 - ACM Fellow For contributions to computer vision, image retrieval, and digital watermarking.
  • 2011 - ACM Distinguished Member
  • 2006 - IEEE Fellow For contributions to digital watermarking.
  • 1996 - IAPR P. Zamperoni Award

Overview

Ingemar J. Cox is affiliated with University College London in the United Kingdom. Their research spans multiple disciplines with a primary focus on medicine, particularly in the subfields of epidemiology, modeling and simulation, electrical and electronic engineering, health, and infectious diseases.

The scientist's work covers a range of topics including COVID-19 epidemiological studies, data-driven disease surveillance, influenza virus research studies, COVID-19 and mental health, vaccine coverage and hesitancy, SARS-CoV-2 and COVID-19 research, as well as neural networks and reservoir computing.

Notable recent papers authored or coauthored by Ingemar J. Cox include:

  • Digital technologies in the public-health response to COVID-19, 2020, Nature Medicine
  • Tracking COVID-19 using online search, 2021, npj Digital Medicine
  • Risk factors, symptom reporting, healthcare-seeking behaviour and adherence to public health guidance: protocol for Virus Watch, a prospective community cohort study, 2021, BMJ Open
  • Nucleocapsid and spike antibody responses following virologically confirmed SARS-CoV-2 infection: an observational analysis in the Virus Watch community cohort, 2022, International Journal of Infectious Diseases
  • Differential Risk of SARS-CoV-2 Infection by Occupation: Evidence from the Virus Watch prospective cohort study in England and Wales, 2023, Journal of Occupational Medicine and Toxicology

Frequent collaborators include Vasileios Lampos, Margaret Johnson, Rachel A. McKendry, Andrew Hayward, and Ellen Fragaszy. These coauthors have worked with Cox repeatedly across various projects.

Ingemar J. Cox has published extensively in several leading venues. These include:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • npj Digital Medicine
  • International Journal of Infectious Diseases
  • BMC Public Health

The scientist has been recognized with several awards, including the ACM Fellow distinction in 2013 for contributions to computer vision, image retrieval, and digital watermarking. Other awards include ACM Distinguished Member in 2011, IEEE Fellow in 2006 for contributions to digital watermarking, and the IAPR P. Zamperoni Award in 1996.

Best Publications

  • Secure spread spectrum watermarking for multimedia

    I.J. Cox;J. Kilian;F.T. Leighton;T. Shamoon

  • Digital Watermarking

    Ingemar Cox;Matthew L. Miller;Jeffery A. Bloom

  • Digital Watermarking and Steganography

    Ingemar Cox;Matthew Miller;Jeffrey Bloom;Jessica Fridrich

  • Rotation, scale, and translation resilient watermarking for images

    C.-Y. Lin;M. Wu;J.A. Bloom;I.J. Cox

  • Digital technologies in the public-health response to COVID-19.

    Jobie Budd;Jobie Budd;Benjamin S. Miller;Erin M. Manning;Vasileios Lampos

  • The Bayesian image retrieval system, PicHunter: theory, implementation, and psychophysical experiments

    I.J. Cox;M.L. Miller;T.P. Minka;T.V. Papathomas

  • An efficient implementation of Reid's multiple hypothesis tracking algorithm and its evaluation for the purpose of visual tracking

    I.J. Cox;S.L. Hingorani

  • Blanche-an experiment in guidance and navigation of an autonomous robot vehicle

    I.J. Cox

  • A maximum-flow formulation of the N-camera stereo correspondence problem

    S. Roy;I.J. Cox

  • Watermarking as communications with side information

    I.J. Cox;M.L. Miller;A.L. McKellips

  • A Maximum Likelihood Stereo Algorithm

    Ingemar J. Cox;Sunita L. Hingorani;Satish B. Rao;Bruce M. Maggs

  • A Secure, Robust Watermark for Multimedia

    Ingemar J. Cox;Joe Kilian;Frank Thomson Leighton;Talal Shamoon

  • Secure spread spectrum watermarking for images, audio and video

    I.J. Cox;J. Kilian;T. Leighton;T. Shamoon

  • Dynamic map building for an autonomous mobile robot

    John J. Leonard;Hugh F. Durrant-Whyte;Ingemar J. Cox

  • The first 50 years of electronic watermarking

    Ingemar J. Cox;Matt L. Miller

  • Dynamic map building for autonomous mobile robot

    J. Leonard;H. Durrant-Whyte;I.J. Cox

  • Blanche: position estimation for an autonomous robot vehicle

    I. J. Cox

  • Review of watermarking and the importance of perceptual modeling

    Ingemar J. Cox;Matthew L. Miller

  • A review of statistical data association for motion correspondence

    Ingemar J. Cox

  • Autonomous robot vehicles

    Ingemar J. Cox;Gordon T. Wilfong

  • Spreizspektrumwasserzeichen für integrierte Signalisierung

    Ingemar J. Cox

Frequent Co-Authors

Matthew L. Miller
Matthew L. Miller NEC (United States)
Ton Kalker
Ton Kalker Hewlett-Packard (United States)
Jessica Fridrich
Jessica Fridrich Binghamton University
Colin J. R. Sheppard
Colin J. R. Sheppard Italian Institute of Technology
Mauro Barni
Mauro Barni University of Siena
Min Wu
Min Wu University of Maryland, College Park
Satish Rao
Satish Rao University of California, Berkeley
Elad Yom-Tov
Elad Yom-Tov Microsoft (United States)
Lars Kai Hansen
Lars Kai Hansen Technical University of Denmark

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