H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Engineering and Technology D-index 37 Citations 4,573 163 World Ranking 2957 National Ranking 1172

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Statistics
  • Optics

His scientific interests lie mostly in Artificial intelligence, Optics, Spatial frequency, Contrast and Crowding. His Artificial intelligence research incorporates themes from Percept, Statistics, Computer vision and Pattern recognition. Peter J. Bex frequently studies issues relating to Fixation and Optics.

The Spatial frequency study combines topics in areas such as Sensitivity, Motion perception, Orientation, Sensory threshold and Psychophysics. Peter J. Bex interconnects Ophthalmology, Visual processing and Audiology in the investigation of issues within Contrast. His research integrates issues of Cognitive neuroscience of visual object recognition, Peripheral vision, Visual perception, Perceptual Masking and Visual field in his study of Crowding.

His most cited work include:

  • Spatial frequency, phase, and the contrast of natural images (213 citations)
  • Measuring contrast sensitivity. (180 citations)
  • Contrast sensitivity in natural scenes depends on edge as well as spatial frequency structure. (177 citations)

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

Artificial intelligence, Computer vision, Contrast, Optics and Spatial frequency are his primary areas of study. His studies deal with areas such as Visual field, Crowding and Pattern recognition as well as Artificial intelligence. His Computer vision study incorporates themes from Saccade, Visual processing and Fixation.

His work is dedicated to discovering how Contrast, Visual acuity are connected with Optometry and other disciplines. The various areas that Peter J. Bex examines in his Optics study include Motion detection, Psychophysics, Sensory threshold and Human visual system model. The Spatial frequency study combines topics in areas such as Motion perception, Acoustics and Masking.

He most often published in these fields:

  • Artificial intelligence (39.56%)
  • Computer vision (24.18%)
  • Contrast (25.55%)

What were the highlights of his more recent work (between 2016-2021)?

  • Artificial intelligence (39.56%)
  • Computer vision (24.18%)
  • Visual field (11.26%)

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

His primary areas of investigation include Artificial intelligence, Computer vision, Visual field, Monocular and Glaucoma. He has included themes like Natural language processing, Visual processing, Visual cortex and Pattern recognition in his Artificial intelligence study. He has researched Pattern recognition in several fields, including Psychophysics and Perception.

His studies in Computer vision integrate themes in fields like Depth perception and Smooth pursuit, Eye movement. Peter J. Bex works mostly in the field of Visual field, limiting it down to concerns involving Optometry and, occasionally, Accommodation. In his study, Age related, Stereoscopic acuity, Stereopsis and Spatial frequency is inextricably linked to Audiology, which falls within the broad field of Monocular.

Between 2016 and 2021, his most popular works were:

  • Evaluation of the Tobii EyeX Eye tracking controller and Matlab toolkit for research. (80 citations)
  • The Perceptual Quality of the Oculus Rift for Immersive Virtual Reality (36 citations)
  • Binocular therapy for childhood amblyopia improves vision without breaking interocular suppression (35 citations)

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

  • Artificial intelligence
  • Statistics
  • Computer vision

His primary scientific interests are in Artificial intelligence, Glaucoma, Visual field, Monocular and Ophthalmology. His Artificial intelligence research includes themes of Function, Perception, Computer vision and Pattern recognition. His research in Computer vision intersects with topics in Adaptation and Smooth pursuit, Eye movement.

His work deals with themes such as Emmetropia, Visual acuity, Binocular vision and Contrast, which intersect with Monocular. His Contrast research incorporates elements of Vision test and Spatial frequency. His Accommodation research is within the category of Optics.

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

Measuring contrast sensitivity.

Denis G. Pelli;Peter Bex.
Vision Research (2013)

334 Citations

Spatial frequency, phase, and the contrast of natural images

Peter J. Bex;Walter Makous.
Journal of The Optical Society of America A-optics Image Science and Vision (2002)

277 Citations

Positional averaging explains crowding with letter-like stimuli

John A. Greenwood;Peter J. Bex;Steven C. Dakin.
Proceedings of the National Academy of Sciences of the United States of America (2009)

200 Citations

Contrast sensitivity in natural scenes depends on edge as well as spatial frequency structure.

Peter J. Bex;Peter J. Bex;Samuel G. Solomon;Steven C. Dakin.
Journal of Vision (2009)

178 Citations

Local and global limitations on direction integration assessed using equivalent noise analysis.

Steven C. Dakin;Isabelle Mareschal;Peter J. Bex.
Vision Research (2005)

132 Citations

Evaluation of the Tobii EyeX Eye tracking controller and Matlab toolkit for research.

Agostino Gibaldi;Mauricio Vanegas;Peter J. Bex;Guido Maiello;Guido Maiello;Guido Maiello.
Behavior Research Methods (2017)

128 Citations

Natural image statistics mediate brightness 'filling in'.

Steven C Dakin;Peter J Bex.
Proceedings of The Royal Society B: Biological Sciences (2003)

108 Citations

Rapid and reliable assessment of the contrast sensitivity function on an iPad.

Michael Dorr;Luis A. Lesmes;Zhong-Lin Lu;Peter J. Bex.
Investigative Ophthalmology & Visual Science (2013)

104 Citations

Crowding Changes Appearance

John A. Greenwood;Peter J. Bex;Peter J. Bex;Steven C. Dakin.
Current Biology (2010)

103 Citations

Snakes and ladders: the role of temporal modulation in visual contour integration

Peter J Bex;Anita J Simmers;Steven C Dakin.
Vision Research (2001)

97 Citations

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