Trent Lewis

1.8k citations
40 papers · 1.1k indexed · h-index 16
Topics
EEG and Brain-Computer Interfaces (17 papers)Neural dynamics and brain function (11 papers)Neuroscience and Neural Engineering (9 papers)

In The Last Decade

Trent Lewis

38 papers receiving 1.1k citations

Peers

Trent Lewis
Comparison fields: 5 of 101
  • Cognitive Neuroscience 873
  • Cellular and Molecular Neuroscience 217
  • Signal Processing 160
  • Experimental and Cognitive Psychology 103
  • Biomedical Engineering 98
Replace Rebecca Schaefer with:
Rebecca Schaefer Netherlands
Dylan DeLosAngeles Australia
Hiroaki Mizuhara Japan
Vladimir Bostanov Germany
Brenton W. McMenamin United States
Sheng-Hsiou Hsu United States
Sara Gonzalez Switzerland
Michal Teplan Slovakia
Luca Pion-Tonachini United States
Trent Lewis relative to Rebecca Schaefer Netherlands Rebecca Schaefer's profile →
Citations per field
00.5×1.5×1.8×
Rebecca Schaefer · 1×
Citations per year

Countries citing papers authored by Trent Lewis

Since Specialization
Citations

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

Fields of papers citing papers by Trent Lewis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Trent Lewis

This figure shows the co-authorship network connecting the top 25 collaborators of Trent Lewis. A scholar is included among the top collaborators of Trent Lewis 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 Trent Lewis. Trent Lewis 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
1 1
2 6
3 6
4 9
5 31
6 5
7 8
8 15
9 47
10 10
11 46
12 64
13 30
14 6
15 52
16 15
17 60
18 137
19 8
20 377

About Trent Lewis

Trent Lewis is a scholar working on Cognitive Neuroscience, Health Informatics and Signal Processing, having authored 40 papers that have together received 1.1k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (17 papers), Neural dynamics and brain function (11 papers) and Neuroscience and Neural Engineering (9 papers). The work is most often cited by research in Cognitive Neuroscience (873 citations), Signal Processing (160 citations) and Cellular and Molecular Neuroscience (217 citations). Trent Lewis has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Kenneth J. Pope, John O. Willoughby, Sean P. Fitzgibbon, Dylan DeLosAngeles, David Powers, Emma M. Whitham, Christopher Clark, Marita Broberg, Stephen Loveless and Angus Wallace. Their work appears in journals such as PLoS ONE, IEEE Transactions on Biomedical Engineering and Neurocomputing.

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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