K. Shane Guillory

467 citations
12 papers · 343 indexed · h-index 7
Topics
Neuroscience and Neural Engineering (10 papers)EEG and Brain-Computer Interfaces (5 papers)Neural dynamics and brain function (3 papers)
Partner nations
United StatesIsrael

In The Last Decade

K. Shane Guillory

12 papers receiving 330 citations

Peers

K. Shane Guillory
Comparison fields: 5 of 43
  • Cellular and Molecular Neuroscience 238
  • Cognitive Neuroscience 183
  • Biomedical Engineering 157
  • Electrical and Electronic Engineering 128
  • Neurology 28
Replace Wentai Liu with:
Wentai Liu United States
Autumn J. Bullard United States
Noah M. Ledbetter United States
Devapratim Sarma United States
David Prutchi Israel
Emilia Noorsal Malaysia
Colin M. McCrimmon United States
Chrono S. Nu United States
Tianruo Guo Australia
Jacopo Tessadori Italy
K. Shane Guillory relative to Wentai Liu United States Wentai Liu's profile →
Citations per field
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Citations per year

Countries citing papers authored by K. Shane Guillory

Since Specialization
Citations

This map shows the geographic impact of K. Shane Guillory'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 K. Shane Guillory with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Shane Guillory more than expected).

Fields of papers citing papers by K. Shane Guillory

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. Shane Guillory. 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 K. Shane Guillory. The network helps show where K. Shane Guillory may publish in the future.

Co-authorship network of co-authors of K. Shane Guillory

This figure shows the co-authorship network connecting the top 25 collaborators of K. Shane Guillory. A scholar is included among the top collaborators of K. Shane Guillory 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 K. Shane Guillory. K. Shane Guillory is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 6
2 21
3 3
4 1
5 16
6 49
7 4
8 3
9 33
10 3
11 140
12 64

About K. Shane Guillory

K. Shane Guillory is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Otorhinolaryngology, having authored 12 papers that have together received 343 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (10 papers), EEG and Brain-Computer Interfaces (5 papers) and Neural dynamics and brain function (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (238 citations), Cognitive Neuroscience (183 citations) and Biomedical Engineering (157 citations). K. Shane Guillory has collaborated with scholars based in United States and Israel. Frequent co-authors include Richard A. Normann, Dimitri Yatsenko, David J. Warren, Edwin M. Maynard, Shirin O. Hiatt, M. Douglas Gossman, Christopher F. Smith and Shy Shoham. Their work appears in journals such as Vision Research, Journal of Neuroscience Methods and IEEE Spectrum.

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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