What is he best known for?
The fields of study he is best known for:
- Optics
- Artificial intelligence
- Visual perception
His main research concerns Optics, Spatial frequency, Accommodation, Stereopsis and Binocular vision.
The various areas that he examines in his Optics study include Fixation and Geodesy.
His Spatial frequency research is multidisciplinary, relying on both Image resolution, Binocular rivalry and Binocular disparity, Stereoscopy.
His study in Accommodation is interdisciplinary in nature, drawing from both Stimulus, Motor system, Tonic and Amplitude.
Clifton M. Schor has researched Binocular vision in several fields, including Monocular, Contrast, Audiology and Eye movement.
His research in Psychophysics intersects with topics in Artificial intelligence and Computer vision.
His most cited work include:
- Vergence eye movements : basic and clinical aspects (189 citations)
- Binocular sensory fusion is limited by spatial resolution (181 citations)
- Disparity range for local stereopsis as a function of luminance spatial frequency (179 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Optics, Accommodation, Artificial intelligence, Computer vision and Stereopsis.
He interconnects Stimulus and Eye movement in the investigation of issues within Optics.
The study incorporates disciplines such as Fixation disparity, Geodesy and Prism adaptation in addition to Eye movement.
His Accommodation research includes elements of Optometry, Presbyopia, Tonic and Audiology.
The concepts of his Artificial intelligence study are interwoven with issues in Adaptation, Perception and Pattern recognition.
The Stereopsis study combines topics in areas such as Depth perception and Stereoscopy.
He most often published in these fields:
- Optics (46.82%)
- Accommodation (26.36%)
- Artificial intelligence (23.64%)
What were the highlights of his more recent work (between 2008-2020)?
- Optics (46.82%)
- Artificial intelligence (23.64%)
- Optometry (13.64%)
In recent papers he was focusing on the following fields of study:
Clifton M. Schor mainly focuses on Optics, Artificial intelligence, Optometry, Accommodation and Computer vision.
His study on Optics is mostly dedicated to connecting different topics, such as Optical illusion.
His work deals with themes such as Contrast, Stereoscopic acuity, Visual acuity, Adaptation and Depth perception, which intersect with Optometry.
His Accommodation study combines topics in areas such as Physical medicine and rehabilitation, Aberrations of the eye, Dioptre and Audiology.
His work in the fields of Computer vision, such as Eye tracking and Stereopsis, intersects with other areas such as Mechanism.
His research integrates issues of Zero and Retinal correspondence, Binocular vision in his study of Stereopsis.
Between 2008 and 2020, his most popular works were:
- Training the brain to overcome the effect of aging on the human eye. (74 citations)
- Saccadic latency in amblyopia. (24 citations)
- Neuromuscular plasticity and rehabilitation of the ocular near response. (23 citations)
In his most recent research, the most cited papers focused on:
- Optics
- Artificial intelligence
- Visual acuity
Clifton M. Schor focuses on Accommodation, Optometry, Presbyopia, Optics and Visual acuity.
His Accommodation research includes themes of Physical medicine and rehabilitation and Dioptre.
His Optometry research is multidisciplinary, incorporating elements of Depth perception and Stereoscopic acuity.
His work in Presbyopia tackles topics such as Psychophysics which are related to areas like Spatial frequency, Standard deviation and Human eye.
His research in Optics focuses on subjects like Eye movement, which are connected to Eye tracking.
His research investigates the link between Visual acuity and topics such as Binocular disparity that cross with problems in Refraction and Lunette.
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.
