S.G. Mason

1.7k citations
26 papers · 1.2k · h-index 13

Impact in

Papers in

S.G. Mason

26 papers receiving 1.1k citations

Peers

S.G. Mason
Comparison fields: 5 of 86
  • Cognitive Neuroscience 1.1k
  • Human-Computer Interaction 237
  • Cellular and Molecular Neuroscience 717
  • Signal Processing 133
  • Electrical and Electronic Engineering 316
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George Townsend Canada
B. Obermaier Austria
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Citations per field
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Citations per year

Countries citing papers authored by S.G. Mason

Since Specialization
Citations

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

Fields of papers citing papers by S.G. Mason

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S.G. Mason. 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 S.G. Mason. The network helps show where S.G. Mason may publish in the future.

Co-authors

The 23 scholars most cited alongside S.G. Mason, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with S.G. Mason Line = papers co-authored together S.G. Mason links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000227
2 2006211
3 2003202
4 2004132
5 200889
6 200279
7 200638
8 200433
9 200533
10 200032
11 200324
12 200419
13 200612
14 200610
15
Controllability of Galvanic Skin Response
20059
16 20029
17 20029
18 20047
19 20005
20 19945

About S.G. Mason

S.G. Mason is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Human-Computer Interaction, Electrical and Electronic Engineering and Biomedical Engineering, having authored 26 papers that have together received 1.2k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (20 papers), Neuroscience and Neural Engineering (16 papers), Gaze Tracking and Assistive Technology (7 papers), Advanced Memory and Neural Computing (6 papers), Neural dynamics and brain function (6 papers), Muscle activation and electromyography studies (3 papers), Neural and Behavioral Psychology Studies (2 papers) and Blind Source Separation Techniques (2 papers). The work is most often cited by research in Cognitive Neuroscience (1.1k citations), Human-Computer Interaction (237 citations), Cellular and Molecular Neuroscience (717 citations), Signal Processing (133 citations) and Electrical and Electronic Engineering (316 citations). S.G. Mason has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Gary E. Birch, Ali Bashashati, Mehrdad Fatourechi, Jaimie Borisoff, Karla Félix Navarro, Rabab Ward, Melody Moore Jackson, Jane E. Huggins, Alois Schlögl and Melody M. Moore. Their work appears in journals such as IEEE Transactions on Neural Systems and Rehabilitation Engineering, Annals of Biomedical Engineering, IEEE Transactions on Biomedical Engineering, Journal of the Association for Information Systems and Journal of Clinical Neurophysiology.

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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