Geoffrey M. Boynton
- Cognitive Neuroscience top 0.1%
- Visual perception and processing mechanisms 77
- Neural dynamics and brain function 55
- Neural and Behavioral Psychology Studies 26
- Face Recognition and Perception 19
- EEG and Brain-Computer Interfaces 13
- Functional Brain Connectivity Studies 13
- Sensory Systems top 1%
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- Neuroscience and Neural Engineering 15
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- Advanced Memory and Neural Computing 12
- Co-authors
- David J. HeegerGary H. GloverStephen A. EngelGiedrius T. BuračasIone FineJonathan B. DembMelissa SàenzJohn T. Serences
- Journals
- Proceedings of the National Academy of Sciences (5 papers)Neuron (5 papers)Journal of Neuroscience (7 papers)
- Partner nations
- United StatesUnited KingdomGreece
In The Last Decade
Geoffrey M. Boynton
104 papers receiving 8.6k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Cognitive Neuroscience 7.5k
- Experimental and Cognitive Psychology 1.3k
- Sensory Systems 412
- Developmental and Educational Psychology 733
- Cellular and Molecular Neuroscience 965
Countries citing papers authored by Geoffrey M. Boynton
This map shows the geographic impact of Geoffrey M. Boynton'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 Geoffrey M. Boynton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Geoffrey M. Boynton more than expected).
Fields of papers citing papers by Geoffrey M. Boynton
This network shows the impact of papers produced by Geoffrey M. Boynton. 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 Geoffrey M. Boynton. The network helps show where Geoffrey M. Boynton may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Geoffrey M. Boynton, 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 | 2025 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2023 | 4 | |
| 4 | 2023 | 2 | |
| 5 | Interpretable machine-learning predictions of perceptual sensitivity for retinal prostheses | 2020 | 1 |
| 6 | 2019 | 32 | |
| 7 | 2019 | 35 | |
| 8 | 2019 | 89 | |
| 9 | 2019 | 64 | |
| 10 | 2018 | 28 | |
| 11 | 2017 | 67 | |
| 12 | 2017 | 26 | |
| 13 | 2013 | 52 | |
| 14 | 2010 | 0 | |
| 15 | 2008 | 96 | |
| 16 | 2006 | 53 | |
| 17 | 2004 | 13 | |
| 18 | FMRI contrast response in the calcarine sulcus: No difference between dyslexic and control groups | 1997 | 1 |
| 19 | Neural basis of contrast appearance measured with fMRI | 1996 | 1 |
| 20 | 1994 | 62 |
About Geoffrey M. Boynton
Geoffrey M. Boynton is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Experimental and Cognitive Psychology, having authored 111 papers that have together received 8.7k indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (77 papers), Neural dynamics and brain function (55 papers), Neural and Behavioral Psychology Studies (26 papers), Face Recognition and Perception (19 papers), Neuroscience and Neural Engineering (15 papers), EEG and Brain-Computer Interfaces (13 papers), Functional Brain Connectivity Studies (13 papers) and Advanced Memory and Neural Computing (12 papers). The work is most often cited by research in Cognitive Neuroscience (7.5k citations), Experimental and Cognitive Psychology (1.3k citations) and Sensory Systems (412 citations). Geoffrey M. Boynton has collaborated with scholars based in United States, United Kingdom and Greece. Frequent co-authors include David J. Heeger, Gary H. Glover, Stephen A. Engel, Giedrius T. Buračas, Ione Fine, Jonathan B. Demb, Melissa Sàenz, John T. Serences, Robert O. Duncan and Sunil Gandhi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Neuron and Journal of 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.