Matt Stead

4.0k citations
58 papers · 2.8k · h-index 31

Impact in

    • EEG and Brain-Computer Interfaces
    • Neural dynamics and brain function
    • Functional Brain Connectivity Studies
    • Memory and Neural Mechanisms
    • Neuroscience and Neuropharmacology Research
    • Neuroscience and Neural Engineering

Papers in

Matt Stead

57 papers receiving 2.7k citations

Peers

Matt Stead
Comparison fields: 5 of 117
  • Cognitive Neuroscience 1.6k
  • Cellular and Molecular Neuroscience 1.1k
  • Psychiatry and Mental health 702
  • Neurology 558
  • Neurology 188
Replace Fred A. Lado with:
Fred A. Lado United States
William C. Stacey United States
Richard J. Staba United States
Václav Křemen Czechia
Taufik A. Valiante Canada
Fernando Lopes da Silva Netherlands
Colin Deransart France
Arnaud Biraben France
Tao Yu China
Přemysl Jiruška Czechia
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Citations per field
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Citations per year

Countries citing papers authored by Matt Stead

Since Specialization
Citations

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

Fields of papers citing papers by Matt Stead

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matt Stead. 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 Matt Stead. The network helps show where Matt Stead may publish in the future.

Co-authors

The 25 scholars most cited alongside Matt Stead, 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 Matt Stead Line = papers co-authored together Matt Stead links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996277
2 2010249
3 2010147
4 2013132
5 2010124
6 2014103
7 2014101
8 200994
9 201882
10 201279
11 201875
12 201471
13 202067
14 201361
15 201561
16 201260
17 201059
18 201659
19 201855
20 201254

About Matt Stead

Matt Stead is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Neurology, Psychiatry and Mental health and Signal Processing, having authored 58 papers that have together received 2.8k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (28 papers), Neurological disorders and treatments (17 papers), Neural dynamics and brain function (15 papers), Epilepsy research and treatment (14 papers), Neuroscience and Neuropharmacology Research (11 papers), Neuroscience and Neural Engineering (9 papers), Blind Source Separation Techniques (5 papers) and Genetic Neurodegenerative Diseases (3 papers). The work is most often cited by research in Cognitive Neuroscience (1.6k citations), Cellular and Molecular Neuroscience (1.1k citations), Psychiatry and Mental health (702 citations), Neurology (558 citations) and Neurology (188 citations). Matt Stead has collaborated with scholars based in United States, Czechia and China. Frequent co-authors include Gregory A. Worrell, Benjamin H. Brinkmann, Jamie J. Van Gompel, Robert U. Muller, Mark R. Bower, János Pach, W. Richard Marsh, Fredric B. Meyer, Kendall H. Lee and Sanqing Hu. Their work appears in journals such as Epilepsia, Journal of Neural Engineering, Mayo Clinic Proceedings, JAMA Neurology and Brain.

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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