Geoffrey M. Boynton

12.3k citations
111 papers · 8.7k indexed · 2 hit papers · h-index 44
Topics
Visual perception and processing mechanisms (77 papers)Neural dynamics and brain function (55 papers)Neural and Behavioral Psychology Studies (26 papers)

In The Last Decade

Geoffrey M. Boynton

104 papers receiving 8.6k citations

Hit Papers

Linear Systems Analysis of Functional Magnetic Resonance ...19962026200620161996199950010001.5k

Peers

Geoffrey M. Boynton
Comparison fields: 5 of 143
  • Cognitive Neuroscience 7.5k
  • Experimental and Cognitive Psychology 1.3k
  • Cellular and Molecular Neuroscience 965
  • Radiology, Nuclear Medicine and Imaging 820
  • Developmental and Educational Psychology 733
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Citations per field
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Citations per year

Countries citing papers authored by Geoffrey M. Boynton

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Geoffrey M. Boynton

This figure shows the co-authorship network connecting the top 25 collaborators of Geoffrey M. Boynton. A scholar is included among the top collaborators of Geoffrey M. Boynton based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Geoffrey M. Boynton. Geoffrey M. Boynton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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Interpretable machine-learning predictions of perceptual sensitivity for retinal prostheses
1
6 32
7 35
8 89
9 64
10 28
11 67
12 26
13 52
14 0
15 96
16 53
17 13
18
FMRI contrast response in the calcarine sulcus: No difference between dyslexic and control groups
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Neural basis of contrast appearance measured with fMRI
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20 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) and Neural and Behavioral Psychology Studies (26 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.

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