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Brain-Computer Interfaces - Taylor and Francis Ltd | 2024 Impact Factor: 2.1 | Cite Score: 4.0

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Brain-Computer Interfaces - Taylor and Francis Ltd | 2024 Impact Factor: 2.1 | Cite Score: 4.0

  • About this Journal:
  • Peer-reviewed journal publishing high quality, original research in brain-computer interface (BCI) technology.
  • Focuses on theoretical and practical advances, including robustness of methods, analysis, and conclusions.
  • Publishes original articles, reviews, short communications, data notes, and commentaries.

  • Editor-in-Chief:  Prof Chang S. Nam, Ph.D.

  • Scope of the Journal:
  • Design and development of signal acquisition and processing for BCI.
  • Machine learning / computational intelligence approaches in decoding neural signals.
  • Non-invasive and invasive neurophysiological modalities (EEG, ECoG, etc.).
  • Applications in rehabilitation, assistive devices, communication, prosthetics.
  • Human factors, usability, human-machine interaction in BCI systems.
  • Ethical, societal, regulatory issues in BCI deployment.
  • Latest Research Topics for PhD in Computer Science

  • Print ISSN:  23262621

    Electronic ISSN:  2326263X

  • Abstracting and Indexing:  Scopus, Emerging Sources Citation Index

  • Imapct Factor 2021:  2.1

  • Subject Area and Category:  Human-Computer Interaction

  • Publication Frequency:  

  • H Index:  23

  • Best Quartile:

    Q1:  

    Q2:  Human-Computer Interaction

    Q3:  

    Q4:  

  • Cite Score:  4.0

  • SNIP:  0.714

  • Journal Rank(SJR):  0.480