James Gaska
- Cognitive Neuroscience top 2%
- Visual perception and processing mechanisms 14
- Neural dynamics and brain function 10
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- Neurobiology and Insect Physiology Research 7
- Biophysics top 10%
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- Human-Automation Interaction and Safety 3
- Ergonomics and Musculoskeletal Disorders 2
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- Advanced Optical Imaging Technologies 3
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- Surface Roughness and Optical Measurements 2
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- Ocular and Laser Science Research 2
- Co-authors
- D. A. PollenDaniel A. PollenLowell JacobsonWarren E. FooteAndrzej W. PrzybyszewskiHaiwen ChenMarc WinterbottomZheng Liu
- Journals
- Vision Research (5 papers)Visual Neuroscience (2 papers)Journal of Applied Research in Memory and Cognition (1 paper)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
James Gaska
26 papers receiving 785 citations
Peers
Comparison fields: 5 of 68
- Cognitive Neuroscience 729
- Cellular and Molecular Neuroscience 251
- Biophysics 41
- Acoustics and Ultrasonics 4
- Computer Vision and Pattern Recognition 63
Countries citing papers authored by James Gaska
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 0 | |
| 2 | Operational Based Vision Assessment Automated Vision Test Collection User Guide | 2017 | 1 |
| 3 | 2016 | 3 | |
| 4 | 2016 | 4 | |
| 5 | 2015 | 11 | |
| 6 | 2015 | 5 | |
| 7 | Operational Based Vision Assessment Research: Depth Perception | 2014 | 3 |
| 8 | 2008 | 6 | |
| 9 | 2007 | 5 | |
| 10 | 2003 | 1 | |
| 11 | 2000 | 103 | |
| 12 | 1994 | 48 | |
| 13 | 1993 | 7 | |
| 14 | 1993 | 28 | |
| 15 | 1992 | 48 | |
| 16 | 1990 | 17 | |
| 17 | 1988 | 36 | |
| 18 | 1987 | 23 | |
| 19 | 1987 | 9 | |
| 20 | 1985 | 388 |
About James Gaska
James Gaska is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Human-Computer Interaction, having authored 28 papers that have together received 816 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), Human-Automation Interaction and Safety (3 papers), Advanced Optical Imaging Technologies (3 papers), Ergonomics and Musculoskeletal Disorders (2 papers), Surface Roughness and Optical Measurements (2 papers) and Ocular and Laser Science Research (2 papers). The work is most often cited by research in Cognitive Neuroscience (729 citations), Cellular and Molecular Neuroscience (251 citations) and Biophysics (41 citations). James Gaska has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include D. A. Pollen, Daniel A. Pollen, Lowell Jacobson, Warren E. Foote, Andrzej W. Przybyszewski, Haiwen Chen, Marc Winterbottom, Zheng Liu, Rob Gray and Luke Wilkins. Their work appears in journals such as Vision Research, Visual Neuroscience, Journal of Applied Research in Memory and Cognition, The Journal of Physiology and IEEE Transactions on Biomedical Engineering.
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.