James Gaska

1.1k citations
29 papers · 869 · h-index 12

Impact in

Papers in

James Gaska

26 papers receiving 823 citations

Peers

James Gaska
Comparison fields: 5 of 70
  • Cognitive Neuroscience 755
  • Cellular and Molecular Neuroscience 255
  • Biophysics 41
  • Acoustics and Ultrasonics 4
  • Sensory Systems 14
Replace A. M. Norcia with:
A. M. Norcia United States
Akiyuki Anzai United States
R. G. Vautin United States
J.-M. Hupe France
Frederick Federer United States
J. Anthony Movshon United States
F. Heitger Switzerland
Nicolas P. Cottaris United States
Yoav Tadmor United Kingdom
Jens Kremkow Germany
James Gaska relative to A. M. Norcia United States A. M. Norcia's profile →
Citations per field
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A. M. Norcia · 1×
Citations per year

Countries citing papers authored by James Gaska

Since Specialization
Citations

This map shows the geographic impact of James Gaska's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by James Gaska with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Gaska more than expected).

Fields of papers citing papers by James Gaska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James Gaska. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by James Gaska. The network helps show where James Gaska may publish in the future.

Co-authors

The 15 scholars most cited alongside James Gaska, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with James Gaska Line = papers co-authored together James Gaska links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1985410
2 2000113
3 199250
4 199449
5 198840
6 198835
7 199330
8 201328
9 198724
10 199019
11 201514
12 198711
13 19937
14 20086
15 20065
16 20075
17 20155
18 20164
19 20163
20
Operational Based Vision Assessment Research: Depth Perception
20143

About James Gaska

James Gaska is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Aerospace Engineering, Social Psychology and Computer Vision and Pattern Recognition, having authored 29 papers that have together received 869 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (14 papers), Neural dynamics and brain function (10 papers), Neurobiology and Insect Physiology Research (7 papers), Advanced Optical Imaging Technologies (3 papers), Optical measurement and interference techniques (2 papers), Surface Roughness and Optical Measurements (2 papers), Human-Automation Interaction and Safety (2 papers) and Ocular and Laser Science Research (2 papers). The work is most often cited by research in Cognitive Neuroscience (755 citations), Cellular and Molecular Neuroscience (255 citations), Biophysics (41 citations), Acoustics and Ultrasonics (4 citations) and Sensory Systems (14 citations). James Gaska has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include D. A. Pollen, Daniel A. Pollen, Lowell Jacobson, Andrzej W. Przybyszewski, Warren E. Foote, Marc Winterbottom, Zheng Liu, Haiwen Chen, Rob Gray and Luke Wilkins. Their work appears in journals such as Vision Research, Visual Neuroscience, IEEE Transactions on Biomedical Engineering, Journal of the Society for Information Display and Journal of Applied Research in Memory and Cognition.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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