Source Localization
Source Localization is a methodological framework within signal processing that uniquely identifies the spatial origin of propagating acoustic or neural sources by inverting observed sensor array or network measurements through mathematical modeling of wave propagation and sensor response characteristics.
3.4K
Publications
195.9K
Citations
8.3K
Authors
2.1K
Institutions
Publications per year
2017–2026
1.1K
3.4K
MEG and EEG data analysis with MNE-Python
Alexandre Gramfort · Frontiers in Neuroscience · 2013 · 4K citations · Full text
Independent Component Analysis of Electroencephalographic Data
Scott Makeig, Anthony J. Bell, Tzyy‐Ping Jung et al. · 1995 · 1.9K citations
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2.1K

Centre National de la Recherche Scientifique
Paris, France
36 h-index
234 publications
15.4K citations
Massachusetts Institute of Technology
Cambridge, United States
32 h-index
83 publications
13.8K citations
University of California San Diego
San Diego, United States
29 h-index
127 publications
16K citations

Northwestern Polytechnical University
Xi'an, China
26 h-index
122 publications
4.5K citations

Chinese Academy of Sciences
Beijing, China
26 h-index
140 publications
6.1K citations
University of Missouri
Columbia, United States
24 h-index
59 publications
7.2K citations
Nanyang Technological University
Singapore, Singapore
24 h-index
108 publications
4.3K citations

Scripps Institution of Oceanography
La Jolla, United States
23 h-index
69 publications
5.5K citations
1–8 of 2.1K
173 publications · 21K citations
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JASA · 229 publications · 11.5K citations
54
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58 publications · 3.2K citations
34
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47 publications · 6.9K citations
32
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TASLP · 51 publications · 2K citations
29
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