Angela Gee
Impact in
- Cognitive Neuroscience top 5%
- Visual perception and processing mechanisms
- Neural and Behavioral Psychology Studies
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Memory and Neural Mechanisms
- Face Recognition and Perception
- Sensory Systems top 10%
- Olfactory and Sensory Function Studies
Papers in
-
- Visual perception and processing mechanisms 7
- Neural dynamics and brain function 6
- Neural and Behavioral Psychology Studies 2
- Face Recognition and Perception 1
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- Retinal Development and Disorders 3
- Co-authors
- Anna E. Ipata (7 shared papers)Michael E. Goldberg (7 shared papers)James W. Bisley (5 shared papers)Jacqueline Gottlieb (3 shared papers)Gerald Westheimer (1 shared paper)Tammy J. Bungard (1 shared paper)
- Journals
- Perception (1 paper)Experimental Brain Research (1 paper)Proceedings of the National Academy of Sciences (1 paper)Vision Research (1 paper)Nature Neuroscience (1 paper)
- Partner nations
- United StatesItalyCanada
In The Last Decade
Angela Gee
8 papers receiving 387 citations
Peers
Comparison fields: 5 of 34
- Cognitive Neuroscience 375
- Sensory Systems 38
- Computer Vision and Pattern Recognition 47
- Experimental and Cognitive Psychology 24
- Cellular and Molecular Neuroscience 25
Countries citing papers authored by Angela Gee
This map shows the geographic impact of Angela Gee'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 Angela Gee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Angela Gee more than expected).
Fields of papers citing papers by Angela Gee
This network shows the impact of papers produced by Angela Gee. 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 Angela Gee. The network helps show where Angela Gee may publish in the future.
Co-authors
The 6 scholars most cited alongside Angela Gee, 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 | 2006 | 141 | |
| 2 | 2006 | 124 | |
| 3 | 2008 | 84 | |
| 4 | 2012 | 16 | |
| 5 | 2008 | 11 | |
| 6 | 2002 | 7 | |
| 7 | 2010 | 6 | |
| 8 | 2015 | 1 | |
| 9 | 2012 | 0 |
About Angela Gee
Angela Gee is a scholar working on Cognitive Neuroscience, Molecular Biology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine and Computer Vision and Pattern Recognition, having authored 9 papers that have together received 390 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (7 papers), Neural dynamics and brain function (6 papers), Retinal Development and Disorders (3 papers), Neurobiology and Insect Physiology Research (2 papers), Neural and Behavioral Psychology Studies (2 papers), Venous Thromboembolism Diagnosis and Management (1 paper), Face Recognition and Perception (1 paper) and Antiplatelet Therapy and Cardiovascular Diseases (1 paper). The work is most often cited by research in Cognitive Neuroscience (375 citations), Sensory Systems (38 citations), Computer Vision and Pattern Recognition (47 citations), Experimental and Cognitive Psychology (24 citations) and Cellular and Molecular Neuroscience (25 citations). Angela Gee has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Anna E. Ipata, Michael E. Goldberg, James W. Bisley, Jacqueline Gottlieb, Gerald Westheimer and Tammy J. Bungard. Their work appears in journals such as Perception, Experimental Brain Research, Proceedings of the National Academy of Sciences, Vision Research and Nature Neuroscience.
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.