H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 77 Citations 42,737 230 World Ranking 539 National Ranking 33

Research.com Recognitions

Awards & Achievements

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

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Statistics
  • Computer vision

His primary areas of investigation include Artificial intelligence, Digital watermarking, Computer vision, Watermark and Image processing. His Artificial intelligence study combines topics in areas such as Algorithm and Machine learning. His Digital watermarking research is multidisciplinary, relying on both Computer security, Multimedia, Steganography and Fidelity.

Ingemar J. Cox interconnects Dither and Copy protection in the investigation of issues within Multimedia. His Computer vision research includes elements of Autonomous system, Mobile robot navigation and Autonomous robot, Mobile robot. His Watermark research incorporates themes from Lossy compression, Spread spectrum, Signal, Data compression and Distortion.

His most cited work include:

  • Secure spread spectrum watermarking for multimedia (5450 citations)
  • Digital Watermarking (2714 citations)
  • Digital Watermarking and Steganography (1323 citations)

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

His scientific interests lie mostly in Artificial intelligence, Digital watermarking, Computer vision, Watermark and Information retrieval. His Artificial intelligence research includes themes of Machine learning and Pattern recognition. His study on Digital watermarking also encompasses disciplines like

  • Computer security and related Digital Watermarking Alliance,
  • Steganography, which have a strong connection to Information hiding.

His primary area of study in Computer vision is in the field of Rotation. Ingemar J. Cox has included themes like Signal, Coding, Robustness and Discrete cosine transform in his Watermark study. His study focuses on the intersection of Information retrieval and fields such as Relevance feedback with connections in the field of Bayesian probability.

He most often published in these fields:

  • Artificial intelligence (39.11%)
  • Digital watermarking (24.02%)
  • Computer vision (18.16%)

What were the highlights of his more recent work (between 2013-2021)?

  • Artificial intelligence (39.11%)
  • Machine learning (12.29%)
  • Action (4.47%)

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

Ingemar J. Cox spends much of his time researching Artificial intelligence, Machine learning, Action, Social media and Information retrieval. His study on Artificial intelligence is mostly dedicated to connecting different topics, such as Pattern recognition. His biological study spans a wide range of topics, including Key, Task and Online search.

His study explores the link between Information retrieval and topics such as Electronic media that cross with problems in Event. His study looks at the relationship between Identifier and fields such as Upload, as well as how they intersect with chemical problems. His work carried out in the field of Feature vector brings together such families of science as Nearest neighbor search, Selection and Computer vision.

Between 2013 and 2021, his most popular works were:

  • Digital technologies in the public-health response to COVID-19. (84 citations)
  • Digital technologies in the public-health response to COVID-19. (84 citations)
  • Detecting Disease Outbreaks in Mass Gatherings Using Internet Data (51 citations)

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

  • Artificial intelligence
  • Statistics
  • Machine learning

His primary scientific interests are in Artificial intelligence, Machine learning, Online search, Transfer of learning and News media. He studies Artificial intelligence, namely Supervised learning. The various areas that he examines in his Machine learning study include Inference and Data mining.

His studies deal with areas such as Overfitting, Identification, Feature vector, Spurious relationship and Feature selection as well as Inference. The concepts of his Data mining study are interwoven with issues in Quality, Learning to rank, Key and Semantic interpretation. His Task research incorporates elements of Binary classification, Classifier, Set and Kernel.

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.

Top Publications

Secure spread spectrum watermarking for multimedia

I.J. Cox;J. Kilian;F.T. Leighton;T. Shamoon.
IEEE Transactions on Image Processing (1997)

9148 Citations

Digital Watermarking

Ingemar Cox;Matthew L. Miller;Jeffery A. Bloom.
(2001)

3935 Citations

Digital Watermarking and Steganography

Ingemar Cox;Matthew Miller;Jeffrey Bloom;Jessica Fridrich.
(2014)

2509 Citations

Rotation, scale, and translation resilient watermarking for images

C.-Y. Lin;M. Wu;J.A. Bloom;I.J. Cox.
IEEE Transactions on Image Processing (2001)

1169 Citations

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

I.J. Cox;M.L. Miller;T.P. Minka;T.V. Papathomas.
IEEE Transactions on Image Processing (2000)

1057 Citations

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

I.J. Cox.
international conference on robotics and automation (1991)

909 Citations

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.
IEEE Transactions on Pattern Analysis and Machine Intelligence (1996)

882 Citations

Watermarking as communications with side information

I.J. Cox;M.L. Miller;A.L. McKellips.
Proceedings of the IEEE (1999)

786 Citations

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

S. Roy;I.J. Cox.
international conference on computer vision (1998)

786 Citations

Secure spread spectrum watermarking for images, audio and video

I.J. Cox;J. Kilian;T. Leighton;T. Shamoon.
international conference on image processing (1996)

742 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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