Benjamin Blankertz

Active 1983–2025

152
Papers
24,947
Citations
69
h-index
120
i10-index

Citations

Citations per year for Benjamin Blankertz1960: 1 citations1964: 1 citations1972: 1 citations1974: 10 citations1979: 4 citations1983: 3 citations1990: 1 citations1994: 2 citations1996: 2 citations1997: 1 citations1998: 3 citations1999: 2 citations2000: 3 citations2002: 10 citations2003: 15 citations2004: 29 citations2005: 40 citations2006: 160 citations2007: 223 citations2008: 264 citations2009: 338 citations2010: 404 citations2011: 677 citations2012: 665 citations2013: 861 citations2014: 821 citations2015: 886 citations2016: 876 citations2017: 800 citations2018: 898 citations2019: 1,208 citations2020: 1,270 citations2021: 1,175 citations2022: 810 citations2023: 746 citations2024: 793 citations2025: 562 citations2026: 122 citations1961–1963: no citations, so these years are not shown1965–1971: no citations, so these years are not shown1973: no citations, so this year is not shown1975–1978: no citations, so these years are not shown1980–1982: no citations, so these years are not shown1984–1989: no citations, so these years are not shown1991–1993: no citations, so these years are not shown1995: no citations, so this year is not shown2001: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 1,817 citing papers, 15.3% of this breakdownUnited States: 1,607 citing papers, 13.6% of this breakdownGermany: 1,139 citing papers, 9.6% of this breakdownUnited Kingdom: 782 citing papers, 6.6% of this breakdownSouth Korea: 617 citing papers, 5.2% of this breakdownJapan: 421 citing papers, 3.6% of this breakdownFrance: 406 citing papers, 3.4% of this breakdownIndia: 383 citing papers, 3.2% of this breakdownItaly: 358 citing papers, 3% of this breakdownCanada: 336 citing papers, 2.8% of this breakdownSpain: 283 citing papers, 2.4% of this breakdownAustralia: 277 citing papers, 2.4% of this breakdown
0%15.3%Other 28.9%

Fields

  • Neuroscience80.7%
  • Computer Science7.7%
  • Medicine4.3%
  • Psychology2.8%
  • Engineering2.4%
  • Mathematics0.4%
  • Other1.7%

Topics

  • EEG and Brain-Computer Interfaces26.9%
  • Neuroscience and Neural Engineering9.2%
  • Neural dynamics and brain function8.7%
  • Gaze Tracking and Assistive Technology6.5%
  • Blind Source Separation Techniques6.3%
  • Functional Brain Connectivity Studies5.1%
  • Other37.3%

Coauthors

All papers

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  1. Review of the BCI Competition IV

    Authors: , , , , , , , , , , , , , , , , , - Frontiers in Neuroscience 2012 cited by 1,217

  2. Optimizing Spatial filters for Robust EEG Single-Trial Analysis

    Authors: , , , , - IEEE Signal Processing Magazine, IEEE Signal Process. Mag. 2008 cited by 2,065

  3. On the interpretation of weight vectors of linear models in multivariate neuroimaging

    Authors: , , , , , , - NeuroImage 2013 cited by 1,541

  4. The non-invasive Berlin Brain-Computer Interface: Fast acquisition of effective performance in untrained subjects

    Authors: , , , , - NeuroImage 2007 cited by 949

  5. Single-trial analysis and classification of ERP components - A tutorial

    Authors: , , , , - NeuroImage 2010 cited by 1,149

  6. The BCI competition III: validating alternative approaches to actual BCI problems

    Authors: , , , , , , , , , - IEEE Transactions on Neural Systems and Rehabilitation Engineering 2006 cited by 919

  7. Open Access Dataset for EEG+NIRS Single-Trial Classification

    Authors: , , , , , , - IEEE Transactions on Neural Systems and Rehabilitation Engineering 2016 cited by 268

  8. Spatio-spectral filters for improving the classification of single trial EEG

    Authors: , , , - IEEE Transactions on Biomedical Engineering, IEEE Trans. Biomed. Eng. 2005 cited by 642

  9. Enhanced performance by a hybrid NIRS-EEG brain computer interface

    Authors: , , , , , , - NeuroImage 2011 cited by 583

  10. Towards a Cure for BCI Illiteracy

    Authors: , - Brain Topography 2009 cited by 488

  11. Neurophysiological predictor of SMR-based BCI performance

    Authors: , , , , , , , - NeuroImage 2010 cited by 670

  12. Introduction to machine learning for brain imaging

    Authors: , , , - NeuroImage 2010 cited by 640

  13. Boosting bit rates in noninvasive EEG single-trial classifications by feature combination and multiclass paradigms

    Authors: , , , - IEEE Transactions on Biomedical Engineering, IEEE Trans. Biomed. Eng. 2004 cited by 635

  14. Time Domain Parameters as a feature for EEG-based Brain-Computer Interfaces

    Authors: , , , - Neural Networks 2009 cited by 302

  15. Toward Unsupervised Adaptation of LDA for Brain-Computer Interfaces

    Authors: , , , , - IEEE Transactions on Biomedical Engineering, IEEE Trans. Biomed. Eng. 2010 cited by 292

  16. Electrocorticography is superior to subthalamic local field potentials for movement decoding in Parkinson’s disease

    Authors: , , , , , , , , - eLife 2022 cited by 84

  17. Machine learning for real-time single-trial EEG-analysis: From brain–computer interfacing to mental state monitoring

    Authors: , , , , , - Journal of Neuroscience Methods 2007 cited by 473

  18. Towards adaptive classification for BCI

    Authors: , , , , - Journal of Neural Engineering 2006 cited by 436

  19. A High-Security EEG-Based Login System with RSVP Stimuli and Dry Electrodes

    Authors: , , , , , , , , - IEEE Transactions on Information Forensics and Security, IEEE Trans. Inf. Forensics Secur. 2016 cited by 182

  20. The Berlin Brain–Computer Interface: Non-Medical Uses of BCI Technology

    Authors: , , , , , , , , , , - Frontiers in Neuroscience 2010 cited by 354

  21. Combined Optimization of Spatial and Temporal Filters for Improving Brain-Computer Interfacing

    Authors: , , , , , - IEEE Transactions on Biomedical Engineering, IEEE Trans. Biomed. Eng. 2006 cited by 394

  22. EEG potentials predict upcoming emergency brakings during simulated driving

    Authors: , , , , , - Journal of Neural Engineering 2011 cited by 220

  23. The Berlin Brain-Computer Interface: Progress Beyond Communication and Control

    Authors: , , , , , , , , , - Frontiers in Neuroscience 2016 cited by 209

  24. Toward Electrophysiology-Based Intelligent Adaptive Deep Brain Stimulation for Movement Disorders

    Authors: , , , , , - Neurotherapeutics 2019 cited by 138