Brian M. London

1.1k citations
10 papers · 670 indexed · h-index 8
Topics
EEG and Brain-Computer Interfaces (7 papers)Neural dynamics and brain function (5 papers)Neuroscience and Neural Engineering (5 papers)
Partner nations
United StatesPhilippines

In The Last Decade

Brian M. London

10 papers receiving 651 citations

Peers

Brian M. London
Comparison fields: 5 of 74
  • Cognitive Neuroscience 488
  • Cellular and Molecular Neuroscience 287
  • Biomedical Engineering 214
  • Sensory Systems 120
  • Nutrition and Dietetics 59
Replace Stephen D. Auger with:
Stephen D. Auger United Kingdom
William G. Coon United States
Aya Ben-Yakov Israel
Nathan Fitzsimmons United States
Tomokazu Ohshiro Japan
H. N. Wright United States
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Ella Striem-Amit United States
Haroon Anwar United States
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Brian M. London relative to Stephen D. Auger United Kingdom Stephen D. Auger's profile →
Citations per field
00.5×7.9×
Stephen D. Auger · 1×
Citations per year

Countries citing papers authored by Brian M. London

Since Specialization
Citations

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

Fields of papers citing papers by Brian M. London

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian M. London

This figure shows the co-authorship network connecting the top 25 collaborators of Brian M. London. A scholar is included among the top collaborators of Brian M. London 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 Brian M. London. Brian M. London is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
#WorkIndexed citations
1 163
2 48
3 85
4 7
5 69
6 49
7 31
8 6
9 90
10 122

About Brian M. London

Brian M. London is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Sensory Systems, having authored 10 papers that have together received 670 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (7 papers), Neural dynamics and brain function (5 papers) and Neuroscience and Neural Engineering (5 papers). The work is most often cited by research in Cognitive Neuroscience (488 citations), Sensory Systems (120 citations) and Cellular and Molecular Neuroscience (287 citations). Brian M. London has collaborated with scholars based in United States and Philippines. Frequent co-authors include Lee E. Miller, Luke R. Jordan, Behnam Nabet, Andrew R. Fisher, Mary D. Sammel, Richard L. Doty, Laurence F. Abbott, Abigail A. Russo, Jeffrey Seely and John P. Cunningham. Their work appears in journals such as Neuron, Annals of Neurology and Journal of Neurophysiology.

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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