Matti Hämäläinen

33.7k citations
288 papers · 23.5k indexed · 7 hit papers · h-index 71
Topics
Neural dynamics and brain function (128 papers)Functional Brain Connectivity Studies (118 papers)EEG and Brain-Computer Interfaces (80 papers)

In The Last Decade

Matti Hämäläinen

277 papers receiving 22.7k citations

Hit Papers

Magnetoencephalography—theory, instrumentation, and appli...19892026200120131993199420012013200610002.0k3.0k

Peers

Matti Hämäläinen
Comparison fields: 5 of 195
  • Cognitive Neuroscience 19.2k
  • Radiology, Nuclear Medicine and Imaging 3.3k
  • Experimental and Cognitive Psychology 3.0k
  • Signal Processing 2.8k
  • Cellular and Molecular Neuroscience 1.6k
Replace Srikantan S. Nagarajan with:
Srikantan S. Nagarajan United States
Christoph M. Michel Switzerland
W.D. Penny United Kingdom
Risto J. Ilmoniemi Finland
Rainer Goebel Netherlands
Ingrid S. Johnsrude Canada
Roberto D. Pascual‐Marqui Switzerland
Stefan J. Kiebel Germany
Andrew P. Holmes United Kingdom
Arnaud Delorme United States
Matti Hämäläinen relative to Srikantan S. Nagarajan United States Srikantan S. Nagarajan's profile →
Citations per field
00.5×1.5×1.8×
Srikantan S. Nagarajan · 1×
Citations per year

Countries citing papers authored by Matti Hämäläinen

Since Specialization
Citations

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

Fields of papers citing papers by Matti Hämäläinen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matti Hämäläinen. 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 Matti Hämäläinen. The network helps show where Matti Hämäläinen may publish in the future.

Co-authorship network of co-authors of Matti Hämäläinen

This figure shows the co-authorship network connecting the top 25 collaborators of Matti Hämäläinen. A scholar is included among the top collaborators of Matti Hämäläinen 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 Matti Hämäläinen. Matti Hämäläinen 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
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Top-down facilitation of visual recognitionbreakdown →
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About Matti Hämäläinen

Matti Hämäläinen is a scholar working on Cognitive Neuroscience, Signal Processing and Radiology, Nuclear Medicine and Imaging, having authored 288 papers that have together received 23.5k indexed citations. Recurring topics across this work include Neural dynamics and brain function (128 papers), Functional Brain Connectivity Studies (118 papers) and EEG and Brain-Computer Interfaces (80 papers). The work is most often cited by research in Cognitive Neuroscience (19.2k citations), Signal Processing (2.8k citations) and Experimental and Cognitive Psychology (3.0k citations). Matti Hämäläinen has collaborated with scholars based in United States, Finland and Germany. Frequent co-authors include Risto J. Ilmoniemi, Riitta Hari, O. V. Lounasmaa, Jukka Knuutila, Jukka Sarvas, Mikko Sams, John W. Belliveau, Riitta Salmelin, Alexandre Gramfort and Seppo P. Ahlfors. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Reviews of Modern Physics.

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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