David M. Brandman

1.4k citations
25 papers · 620 indexed · 1 hit paper · h-index 13
Topics
EEG and Brain-Computer Interfaces (12 papers)Neuroscience and Neural Engineering (6 papers)Neural dynamics and brain function (5 papers)

In The Last Decade

David M. Brandman

23 papers receiving 614 citations

Hit Papers

An Accurate and Rapidly Calibrating Speech Neuroprosthesis202420262025202410203040

Peers

David M. Brandman
Comparison fields: 5 of 92
  • Cognitive Neuroscience 262
  • Molecular Biology 188
  • Cellular and Molecular Neuroscience 184
  • Cell Biology 109
  • Electrical and Electronic Engineering 93
Replace Stephen VanHaerents with:
Stephen VanHaerents United States
J. H. Kelsey United Kingdom
Shai N. Gozani United States
John Gaitanis United States
Paul A. Constable Australia
Changcheng Sun China
Fengyun Hu China
Torsten Straßer Germany
Monica Neuber‐Hess Canada
Timothy J. Counihan Ireland
David M. Brandman relative to Stephen VanHaerents United States Stephen VanHaerents's profile →
Citations per field
00.5×10.3×
Stephen VanHaerents · 1×
Citations per year

Countries citing papers authored by David M. Brandman

Since Specialization
Citations

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

Fields of papers citing papers by David M. Brandman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David M. Brandman

This figure shows the co-authorship network connecting the top 25 collaborators of David M. Brandman. A scholar is included among the top collaborators of David M. Brandman 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 M. Brandman. David M. Brandman 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 0
2 0
3 11
4 8
5
An Accurate and Rapidly Calibrating Speech Neuroprosthesisbreakdown →
48
6 5
7 12
8 2
9 20
10 10
11 25
12 52
13 64
14 3
15 10
16 29
17 2
18 46
19 132
20 12

About David M. Brandman

David M. Brandman is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Neurology, having authored 25 papers that have together received 620 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (12 papers), Neuroscience and Neural Engineering (6 papers) and Neural dynamics and brain function (5 papers). The work is most often cited by research in Cognitive Neuroscience (262 citations), Cellular and Molecular Neuroscience (184 citations) and Cell Biology (109 citations). David M. Brandman has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Leigh R. Hochberg, Jens R. Coorssen, Matthew A. Churchward, Tatiana P. Rogasevskaia, Sydney S. Cash, Jeffrey Atkinson, Houman Khosravani, Sean Christie, Sergey D. Stavisky and A. V. Nurmikko. Their work appears in journals such as Nature, New England Journal of Medicine and Biophysical Journal.

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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