David M. Brandman

66 total papers · 1.4k total citations
25 papers, 602 citations indexed

About

David M. Brandman is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Surgery. According to data from OpenAlex, David M. Brandman has authored 25 papers receiving a total of 602 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cognitive Neuroscience, 7 papers in Cellular and Molecular Neuroscience and 5 papers in Surgery. Recurrent topics in David M. Brandman's work include EEG and Brain-Computer Interfaces (12 papers), Neuroscience and Neural Engineering (6 papers) and Advanced Memory and Neural Computing (5 papers). David M. Brandman is often cited by papers focused on EEG and Brain-Computer Interfaces (12 papers), Neuroscience and Neural Engineering (6 papers) and Advanced Memory and Neural Computing (5 papers). David M. Brandman collaborates with scholars based in United States, Canada and Australia. David M. Brandman's co-authors include Leigh R. Hochberg, Jens R. Coorssen, Matthew A. Churchward, Tatiana P. Rogasevskaia, Sydney S. Cash, Houman Khosravani, Jeffrey Atkinson, Sean Christie, A. V. Nurmikko and Jaimie M. Henderson and has published in prestigious journals such as Nature, New England Journal of Medicine and Biophysical Journal.

In The Last Decade

David M. Brandman

23 papers receiving 596 citations

Hit Papers

An Accurate and Rapidly C... 2024 2026 2024 10 20 30 40

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
David M. Brandman 248 188 178 108 91 25 602
Lei Xue 145 0.6× 203 1.1× 294 1.7× 93 0.9× 44 0.5× 21 592
J. Nicole Bentley 183 0.7× 95 0.5× 229 1.3× 26 0.2× 27 0.3× 32 567
Huijing Xu 119 0.5× 96 0.5× 183 1.0× 22 0.2× 91 1.0× 38 513
Xin Ge 96 0.4× 287 1.5× 228 1.3× 38 0.4× 35 0.4× 36 681
Tim C. Lei 102 0.4× 126 0.7× 173 1.0× 26 0.2× 49 0.5× 48 647
Eleonora Vannini 70 0.3× 296 1.6× 161 0.9× 42 0.4× 18 0.2× 34 681
Ulrike Tauer 44 0.2× 160 0.9× 149 0.8× 70 0.6× 60 0.7× 17 614
Ben Rollo 124 0.5× 247 1.3× 150 0.8× 23 0.2× 39 0.4× 27 659
Christoph Kernstock 107 0.4× 270 1.4× 432 2.4× 48 0.4× 194 2.1× 24 696
E Ujec 69 0.3× 254 1.4× 275 1.5× 48 0.4× 48 0.5× 31 573

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.

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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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