The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Michael A. Webster sits on this spectrum.
This scientist: 274 publications — 68th percentile
68% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Michael A. Webster sits on this spectrum.
This scientist: 45 D-Index — 51st percentile
51% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Michael A. Webster is a researcher affiliated with the University of Nevada Reno in the United States. Their work spans neuroscience and psychology, with a focus on cognitive neuroscience and social psychology. They have an extensive publication record in areas such as visual perception and processing mechanisms, color perception and design, and color science and applications.
Their recent research output includes a range of peer-reviewed papers published between 2020 and 2022. Notable papers include the 2020 study titled All-or-none face categorization in the human brain published in NeuroImage, the 2020 article Color Compensation in Anomalous Trichromats Assessed with fMRI in Current Biology, and the 2022 contribution Contributed Session I: A Multi-Modal Visual Assessment System For Monitoring Spaceflight Associated Neuro-Ocular Syndrome (SANS) During Long Duration Spaceflight in the Journal of Vision. Other recent works include the 2021 paper Color perception and compensation in color deficiencies assessed with hue scaling in Vision Research, and the 2020 review Plasticity in perception: insights from color vision deficiencies appearing in Faculty Reviews.
Webster frequently publishes in journals such as:
Their collaborations include frequent co-authors like Fang Jiang, Mohana Kuppuswamy Parthasarathy, Michael A. Crognale, Talia L. Retter, and Yi Gao, reflecting a network of research partnerships within their fields of study.
Michael A. Webster's work is concentrated on several main topics, including:
In terms of subject areas, their research intersects with:
Their specific subfields of study include:
Michael A. Webster;Daniel Kaping;Yoko Mizokami;Paul Duhamel
Michael A. Webster;Otto H. Maclin
Colin W.G. Clifford;Michael A. Webster;Garrett B. Stanley;Alan A. Stocker
Michael A. Webster;Donald I. A. MacLeod
Michael A. Webster
Michael A. Webster;Mark A. Georgeson;Shernaaz M. Webster
Michael A. Webster;J.D. Mollon
Michael A. Webster;Russell L. De Valois
Michael A. Webster;J.D. Mollon
Michael A. Webster;J. D. Mollon
Michael A. Webster;Eriko Miyahara;Gokhan Malkoc;Vincent E. Raker
Michael A. Webster;Karen K. De Valois;Eugene Switkes
Michael A Webster
Igor Juricevic;Leah Land;Arnold Wilkins;Michael A Webster
Peter B. Delahunt;Michael A. Webster;Lei Ma;John S. Werner
Michael A. Webster;Eriko Miyahara
Michael A. Webster;Donald I. A. MacLeod
Michael A. Webster;J. D. Mollon
Russell L. De Valois;Michael A. Webster;Karen K. De Valois;Bernd Lingelbach
John Dixon Mollon;Jenny M Bosten;David H Peterzell;Michael A Webster
Daniel Kaping;Paul Duhamel;Michael A. Webster
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