Matti Hämäläinen

33.7k total citations · 7 hit papers
288 papers, 23.5k citations indexed

About

Matti Hämäläinen is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Signal Processing. According to data from OpenAlex, Matti Hämäläinen has authored 288 papers receiving a total of 23.5k indexed citations (citations by other indexed papers that have themselves been cited), including 213 papers in Cognitive Neuroscience, 57 papers in Radiology, Nuclear Medicine and Imaging and 42 papers in Signal Processing. Recurrent topics in Matti Hämäläinen's work include Neural dynamics and brain function (128 papers), Functional Brain Connectivity Studies (118 papers) and EEG and Brain-Computer Interfaces (80 papers). Matti Hämäläinen is often cited by papers focused on Neural dynamics and brain function (128 papers), Functional Brain Connectivity Studies (118 papers) and EEG and Brain-Computer Interfaces (80 papers). Matti Hämäläinen collaborates with scholars based in United States, Finland and Germany. Matti Hämäläinen's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Reviews of Modern Physics.

In The Last Decade

Matti Hämäläinen

277 papers receiving 22.7k citations

Hit Papers

Magnetoencephalography—th... 1989 2026 2001 2013 1993 1994 2001 2013 2006 1000 2.0k 3.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Magnetoencephalography—theory, instrumentation, and applications to noninvasive studies of the working human brain
    1993 3.4k citations Matti Hämäläinen et al. profile →
  2. Interpreting magnetic fields of the brain: minimum norm estimates
    1994 1.4k citations Matti Hämäläinen et al. profile →
  3. Dynamic imaging of coherent sources: Studying neural interactions in the human brain
    2001 1.4k citations Matti Hämäläinen et al. Proceedings of the National Academy of Sciences profile →
  4. MNE software for processing MEG and EEG data
    2013 1.2k citations Matti Hämäläinen et al. NeuroImage profile →
  5. Top-down facilitation of visual recognition
    2006 1.1k citations Moshe Bar, Avniel Singh Ghuman et al. Proceedings of the National Academy of Sciences profile →
  6. Realistic conductivity geometry model of the human head for interpretation of neuromagnetic data
    1989 765 citations Matti Hämäläinen et al. profile →
  7. Independent component approach to the analysis of EEG and MEG recordings
    2000 562 citations Matti Hämäläinen et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Matti Hämäläinen United States 71 19.2k 3.3k 3.0k 2.8k 1.6k 288 23.5k
Risto J. Ilmoniemi Finland 72 18.6k 1.0× 2.6k 0.8× 4.1k 1.4× 1.9k 0.7× 1.4k 0.9× 332 23.1k
Christoph M. Michel Switzerland 77 22.3k 1.2× 2.5k 0.8× 3.4k 1.2× 1.3k 0.5× 2.2k 1.3× 335 26.2k
Rainer Goebel Netherlands 88 22.3k 1.2× 5.1k 1.6× 4.3k 1.4× 802 0.3× 1.6k 1.0× 387 27.6k
Srikantan S. Nagarajan United States 67 10.9k 0.6× 2.3k 0.7× 1.8k 0.6× 1.6k 0.6× 1.5k 0.9× 313 16.0k
Riitta Hari Finland 98 27.0k 1.4× 2.5k 0.8× 5.7k 1.9× 1.8k 0.6× 2.9k 1.8× 415 33.9k
Gian Luca Romani Italy 66 12.4k 0.6× 3.0k 0.9× 2.0k 0.7× 472 0.2× 955 0.6× 316 16.6k
David J. Heeger United States 84 22.2k 1.2× 1.8k 0.5× 2.0k 0.7× 597 0.2× 3.4k 2.1× 218 28.9k
Peter A. Bandettini United States 82 24.6k 1.3× 11.8k 3.6× 3.2k 1.1× 480 0.2× 1.8k 1.1× 236 30.8k
John W. Belliveau United States 55 12.3k 0.6× 10.0k 3.0× 1.3k 0.4× 707 0.3× 902 0.5× 128 20.0k
Robert Oostenveld Netherlands 64 28.5k 1.5× 1.4k 0.4× 3.7k 1.2× 1.0k 0.4× 5.6k 3.4× 148 32.7k

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
1.
Noetscher, Gregory M., Matti Hämäläinen, Thomas R. Knösche, et al.. (2025). High-definition MEG source estimation using the reciprocal boundary element fast multipole method. NeuroImage. 320. 121452–121452.
2.
3.
Kwon, Hunki, et al.. (2023). Decreased thalamocortical connectivity in resolved Rolandic epilepsy. Clinical Neurophysiology. 153. 21–27.
4.
Wang, Lin, Trevor Brothers, Minjae Kim, et al.. (2022). Predictive coding across the left fronto-temporal hierarchy during language comprehension. Cerebral Cortex. 33(8). 4478–4497. 20 indexed citations
5.
Ahlfors, Seppo P., Steven Graham, Jussi Alho, et al.. (2022). Magnetoencephalography and electroencephalography can both detect differences in cortical responses to vibrotactile stimuli in individuals on the autism spectrum. Frontiers in Psychiatry. 13. 902332–902332. 1 indexed citations
6.
Alho, Jussi, Hari Bharadwaj, Sheraz Khan, et al.. (2021). Altered maturation and atypical cortical processing of spoken sentences in autism spectrum disorder. Progress in Neurobiology. 203. 102077–102077. 6 indexed citations
7.
Nunes, Adonay S., Fahimeh Mamashli, Nataliia Kozhemiako, et al.. (2020). Classification of evoked responses to inverted faces reveals both spatial and temporal cortical response abnormalities in Autism spectrum disorder. NeuroImage Clinical. 29. 102501–102501. 2 indexed citations
8.
Mamashli, Fahimeh, Samantha Huang, Sheraz Khan, et al.. (2020). Distinct Regional Oscillatory Connectivity Patterns During Auditory Target and Novelty Processing. Brain Topography. 33(4). 477–488. 3 indexed citations
9.
Lew, Seok, Matti Hämäläinen, Seppo P. Ahlfors, & Yoshio Okada. (2020). Influence of unfused cranial bones on magnetoencephalography signals in human infants. Clinical Neurophysiology. 132(3). 708–719. 1 indexed citations
10.
Mamashli, Fahimeh, et al.. (2018). Maturational trajectories of local and long‐range functional connectivity in autism during face processing. Human Brain Mapping. 39(10). 4094–4104. 33 indexed citations
11.
Puce, Aina & Matti Hämäläinen. (2017). A Review of Issues Related to Data Acquisition and Analysis in EEG/MEG Studies. Brain Sciences. 7(6). 58–58. 133 indexed citations
12.
Meeren, Hanneke K. M., Béatrice de Gelder, Seppo P. Ahlfors, Matti Hämäläinen, & Nouchine Hadjikhani. (2013). Different Cortical Dynamics in Face and Body Perception: An MEG study. PLoS ONE. 8(9). e71408–e71408. 36 indexed citations
13.
Pertilä, Pasi, et al.. (2012). Passive self-localization of microphones using ambient sounds. European Signal Processing Conference. 1314–1318. 18 indexed citations
14.
Kveraga, Kestutis, Avniel Singh Ghuman, Karim Kassam, et al.. (2011). Early onset of neural synchronization in the contextual associations network. Proceedings of the National Academy of Sciences. 108(8). 3389–3394. 95 indexed citations
15.
Chen, Wei‐Ta, Yung‐Yang Lin, Jong‐Ling Fuh, et al.. (2011). Sustained visual cortex hyperexcitability in migraine with persistent visual aura. Brain. 134(8). 2387–2395. 85 indexed citations
16.
Hämäläinen, Matti, Seppo P. Ahlfors, Jooman Han, & John W. Belliveau. (2010). Sensitivity of MEG and EEG to Source Orientation. Digital Access to Scholarship at Harvard (DASH) (Harvard University). 175 indexed citations
17.
Meeren, Hanneke K. M., Nouchine Hadjikhani, Seppo P. Ahlfors, Matti Hämäläinen, & Béatrice de Gelder. (2008). Early Category-Specific Cortical Activation Revealed by Visual Stimulus Inversion. PLoS ONE. 3(10). e3503–e3503. 51 indexed citations
18.
Dhond, Rupali P., Thomas Witzel, Matti Hämäläinen, Norman W. Kettner, & Vitaly Napadow. (2008). Spatiotemporal Mapping the Neural Correlates of Acupuncture with MEG. The Journal of Alternative and Complementary Medicine. 14(6). 679–688. 14 indexed citations
19.
Ou, Wanmei, Polina Golland, & Matti Hämäläinen. (2007). Sources of Variability in MEG. Lecture notes in computer science. 10(Pt 2). 751–759. 11 indexed citations
20.
Lin, Fa‐Hsuan, John W. Belliveau, Anders M. Dale, & Matti Hämäläinen. (2005). Distributed current estimates using cortical orientation constraints. Human Brain Mapping. 27(1). 1–13. 225 indexed citations

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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