Matti Hämäläinen

Active 1983–2026

286
Papers
27,924
Citations
79
h-index
178
i10-index

Citations

Citations per year for Matti Hämäläinen1966: 1 citations1969: 1 citations1970: 1 citations1971: 1 citations1982: 1 citations1983: 2 citations1984: 3 citations1985: 6 citations1986: 8 citations1987: 17 citations1988: 9 citations1989: 25 citations1990: 29 citations1991: 33 citations1992: 32 citations1993: 81 citations1994: 64 citations1995: 82 citations1996: 71 citations1997: 106 citations1998: 126 citations1999: 166 citations2000: 172 citations2001: 164 citations2002: 207 citations2003: 206 citations2004: 219 citations2005: 272 citations2006: 295 citations2007: 296 citations2008: 349 citations2009: 307 citations2010: 320 citations2011: 402 citations2012: 378 citations2013: 456 citations2014: 446 citations2015: 442 citations2016: 433 citations2017: 502 citations2018: 456 citations2019: 898 citations2020: 803 citations2021: 716 citations2022: 592 citations2023: 491 citations2024: 640 citations2025: 325 citations2026: 73 citations1967–1968: no citations, so these years are not shown1972–1981: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 3,001 citing papers, 22.3% of this breakdownGermany: 1,302 citing papers, 9.7% of this breakdownUnited Kingdom: 1,145 citing papers, 8.5% of this breakdownFinland: 884 citing papers, 6.6% of this breakdownChina: 681 citing papers, 5.1% of this breakdownFrance: 661 citing papers, 4.9% of this breakdownItaly: 581 citing papers, 4.3% of this breakdownCanada: 573 citing papers, 4.3% of this breakdownNetherlands: 480 citing papers, 3.6% of this breakdownJapan: 476 citing papers, 3.5% of this breakdownSpain: 325 citing papers, 2.4% of this breakdownAustralia: 268 citing papers, 2% of this breakdown
0%22.3%Other 22.8%

Fields

  • Neuroscience55.9%
  • Engineering13.8%
  • Computer Science11%
  • Medicine7.8%
  • Psychology5.9%
  • Physics and Astronomy2.5%
  • Other3.1%

Topics

  • Neural dynamics and brain function12.1%
  • EEG and Brain-Computer Interfaces8.9%
  • Functional Brain Connectivity Studies8.5%
  • Neuroscience and Music Perception3.7%
  • Blind Source Separation Techniques3.6%
  • Neural and Behavioral Psychology Studies3.3%
  • Other59.9%

Coauthors

All papers

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  1. Magnetoencephalography—theory, instrumentation, and applications to noninvasive studies of the working human brain

    Authors: , , , , - Reviews of Modern Physics 1993 cited by 4,750

  2. Interpreting magnetic fields of the brain: minimum norm estimates

    Authors: , - Medical & Biological Engineering & Computing 1994 cited by 2,080

  3. Dynamic imaging of coherent sources: Studying neural interactions in the human brain

    Authors: , , , , , - National Academy of Sciences, Proceedings of the National Academy of Sciences 2001 cited by 1,897

  4. Neural mechanisms of transient neocortical beta rhythms: Converging evidence from humans, computational modeling, monkeys, and mice

    Authors: , , , , , , , - National Academy of Sciences, Proceedings of the National Academy of Sciences 2016 cited by 531

  5. Top-down facilitation of visual recognition

    Authors: , , , , , , , , , , - National Academy of Sciences, Proceedings of the National Academy of Sciences 2006 cited by 1,532

  6. Mapping the signal‐to‐noise‐ratios of cortical sources in magnetoencephalography and electroencephalography

    Authors: , , , , , , - Human Brain Mapping 2008 cited by 284

  7. A Review of Issues Related to Data Acquisition and Analysis in EEG/MEG Studies

    Authors: , - Brain Sciences 2017 cited by 190

  8. Independent component approach to the analysis of EEG and MEG recordings

    Authors: , , , , - IEEE Transactions on Biomedical Engineering, IEEE Trans. Biomed. Eng. 2000 cited by 812

  9. Human Neocortical Neurosolver (HNN), a new software tool for interpreting the cellular and network origin of human MEG/EEG data

    Authors: , , , , , , , , , - eLife 2020 cited by 121

  10. Sensitivity of MEG and EEG to Source Orientation

    Authors: , , , - 2010 cited by 276

  11. Ultra-Wideband Radar-Based Indoor Activity Monitoring for Elderly Care

    Authors: , , , , , , - Sensors 2021 cited by 51

  12. Mixed-norm estimates for the M/EEG inverse problem using accelerated gradient methods

    Authors: , , - Physics in Medicine and Biology 2012 cited by 232

  13. Sparsity enables estimation of both subcortical and cortical activity from MEG and EEG

    Authors: , , , , , , , - National Academy of Sciences, Proceedings of the National Academy of Sciences 2017 cited by 163

  14. Digital-care in next generation networks: Requirements and future directions

    Authors: , , , - Computer Networks, Comput. Networks 2023 cited by 28

  15. IFCN-endorsed practical guidelines for clinical magnetoencephalography (MEG)

    Authors: , , , , , , , , , , , , , , - Clinical Neurophysiology 2018 cited by 169

  16. Visualization of Magnetoencephalographic Data Using Minimum Current Estimates

    Authors: , , - NeuroImage 1999 cited by 514

  17. A Reproducible MEG/EEG Group Study With the MNE Software: Recommendations, Quality Assessments, and Good Practices

    Authors: , , , , , , - Frontiers in Neuroscience 2018 cited by 141

  18. Predictive coding across the left fronto-temporal hierarchy during language comprehension

    Authors: , , , , , , , , - Cerebral Cortex 2022 cited by 40

  19. High-Density EEG in Current Clinical Practice and Opportunities for the Future

    Authors: , , , , , , , , , , , , - Journal of Clinical Neurophysiology 2021 cited by 56

  20. ETSI SmartBAN Architecture: The Global Vision for Smart Body Area Networks

    Authors: , , , , , , , , , , - IEEE Access 2020 cited by 39

  21. Quantitative Analysis and Biophysically Realistic Neural Modeling of the MEG Mu Rhythm: Rhythmogenesis and Modulation of Sensory-Evoked Responses

    Authors: , , , , , - Journal of Neurophysiology 2009 cited by 242

  22. Cybersecurity Considerations for Communication Based Train Control

    Authors: , , , - IEEE Access 2023 cited by 22

  23. Somatosensory cortex functional connectivity abnormalities in autism show opposite trends, depending on direction and spatial scale

    Authors: , , , , , , , , , - Brain 2015 cited by 162

  24. Cancellation of EEG and MEG signals generated by extended and distributed sources

    Authors: , , , , , , - Human Brain Mapping 2009 cited by 145