Brian N. Pasley

2.4k citations
16 papers · 1.6k indexed · h-index 13
Topics
Neural dynamics and brain function (9 papers)EEG and Brain-Computer Interfaces (7 papers)Visual perception and processing mechanisms (4 papers)

In The Last Decade

Brian N. Pasley

16 papers receiving 1.5k citations

Peers

Brian N. Pasley
Comparison fields: 5 of 80
  • Cognitive Neuroscience 1.4k
  • Neurology 259
  • Cellular and Molecular Neuroscience 191
  • Experimental and Cognitive Psychology 186
  • Signal Processing 174
Replace Mathieu Bourguignon with:
Mathieu Bourguignon Belgium
S. Hampson Germany
Michelle Moerel Netherlands
Pierre Mégevand Switzerland
Marcus Missal Belgium
Dana Boatman United States
Manon Grube United Kingdom
Stephan Bickel United States
Keiichi Kitajo Japan
Ruth de Diego‐Balaguer Spain
Brian N. Pasley relative to Mathieu Bourguignon Belgium Mathieu Bourguignon's profile →
Citations per field
00.5×2.8×
Mathieu Bourguignon · 1×
Citations per year

Countries citing papers authored by Brian N. Pasley

Since Specialization
Citations

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

Fields of papers citing papers by Brian N. Pasley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian N. Pasley

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 5
2 68
3 30
4 3
5 54
6 29
7 108
8 10
9 133
10 19
11 403
12 111
13 26
14 212
15 142
16 225

About Brian N. Pasley

Brian N. Pasley is a scholar working on Cognitive Neuroscience, Neurology and Signal Processing, having authored 16 papers that have together received 1.6k indexed citations. Recurring topics across this work include Neural dynamics and brain function (9 papers), EEG and Brain-Computer Interfaces (7 papers) and Visual perception and processing mechanisms (4 papers). The work is most often cited by research in Cognitive Neuroscience (1.4k citations), Neurology (259 citations) and Signal Processing (174 citations). Brian N. Pasley has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Ralph D. Freeman, Robert T. Knight, Elena A. Allen, Linda C. Mayes, Robert T. Schultz, Nathan E. Crone, Thang Duong, Shihab Shamma, Edward F. Chang and Nima Mesgarani. Their work appears in journals such as Science, Nature Communications and Neuron.

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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