Matti Hämäläinen
- Cognitive Neuroscience top 0.02%
- Neural dynamics and brain function 128
- Functional Brain Connectivity Studies 118
- EEG and Brain-Computer Interfaces 80
- Neuroscience and Music Perception 33
- Visual perception and processing mechanisms 22
- Neural and Behavioral Psychology Studies 20
- Signal Processing top 0.1%
- Blind Source Separation Techniques 28
- Neurology top 0.5%
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- Advanced MRI Techniques and Applications 49
- Co-authors
- Risto J. IlmoniemiRiitta HariO. V. LounasmaaJukka KnuutilaJukka SarvasMikko SamsJohn W. BelliveauRiitta Salmelin
- Partner nations
- United StatesFinlandGermany
In The Last Decade
Matti Hämäläinen
277 papers receiving 22.7k citations
Hit Papers
Peers
Comparison fields: 5 of 195
- Cognitive Neuroscience 19.2k
- Signal Processing 2.8k
- Experimental and Cognitive Psychology 3.0k
- Neurology 1.2k
- Radiology, Nuclear Medicine and Imaging 3.3k
Countries citing papers authored by Matti Hämäläinen
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
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
The 25 scholars most cited alongside Matti Hämäläinen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2023 | 0 | |
| 4 | 2022 | 20 | |
| 5 | 2021 | 6 | |
| 6 | 2020 | 1 | |
| 7 | 2020 | 11 | |
| 8 | 2020 | 27 | |
| 9 | 2020 | 2 | |
| 10 | 2019 | 19 | |
| 11 | 2018 | 33 | |
| 12 | 2017 | 103 | |
| 13 | 2017 | 4 | |
| 14 | 2017 | 34 | |
| 15 | 2017 | 133 | |
| 16 | 2016 | 56 | |
| 17 | 2013 | 72 | |
| 18 | 2010 | 2 | |
| 19 | 2008 | 14 | |
| 20 | Top-down facilitation of visual recognitionbreakdown → | 2006 | 1123 |
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), EEG and Brain-Computer Interfaces (80 papers), Advanced MRI Techniques and Applications (49 papers), Neuroscience and Music Perception (33 papers), Blind Source Separation Techniques (28 papers), Visual perception and processing mechanisms (22 papers) and Neural and Behavioral Psychology Studies (20 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.
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.