David Millett

781 citations
32 papers · 522 indexed · h-index 12
Topics
EEG and Brain-Computer Interfaces (9 papers)Neuroscience and Neural Engineering (8 papers)Epilepsy research and treatment (7 papers)
Partner nations
United StatesPhilippines

In The Last Decade

David Millett

32 papers receiving 498 citations

Peers

David Millett
Comparison fields: 5 of 100
  • Cognitive Neuroscience 280
  • Cellular and Molecular Neuroscience 178
  • Biomedical Engineering 90
  • Psychiatry and Mental health 85
  • Neurology 42
Replace Chengde Liao with:
Chengde Liao China
Stacie Chvatal United States
Kelly L. Collins United States
Max Krucoff United States
Ben Rollo Australia
Nancy Madigan United States
Ken‐ichi Nagamatsu Japan
H. Isaac Chen United States
Can Zhao China
M. Bücheler Germany
David Millett relative to Chengde Liao China Chengde Liao's profile →
Citations per field
00.5×2.7×
Chengde Liao · 1×
Citations per year

Countries citing papers authored by David Millett

Since Specialization
Citations

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

Fields of papers citing papers by David Millett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Millett

This figure shows the co-authorship network connecting the top 25 collaborators of David Millett. A scholar is included among the top collaborators of David Millett 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 David Millett. David Millett 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 8
2 6
3 8
4 3
5 4
6 16
7 17
8 15
9 63
10 4
11 5
12 2
13 10
14 6
15 72
16
Epilepsy: Historical Perspectives
9
17 100
18 18
19 28
20 14

About David Millett

David Millett is a scholar working on Cellular and Molecular Neuroscience, Psychiatry and Mental health and Cognitive Neuroscience, having authored 32 papers that have together received 522 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (9 papers), Neuroscience and Neural Engineering (8 papers) and Epilepsy research and treatment (7 papers). The work is most often cited by research in Cognitive Neuroscience (280 citations), Cellular and Molecular Neuroscience (178 citations) and Psychiatry and Mental health (85 citations). David Millett has collaborated with scholars based in United States and Philippines. Frequent co-authors include Nir Kossovsky, Charles Y. Liu, Nanthia Suthana, Arne D. Ekstrom, Itzhak Fried, Susan Y. Bookheimer, An H., Christine King, Po T. Wang and Susan J. Shaw. Their work appears in journals such as Nature Biotechnology, NeuroImage and Stroke.

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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