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Brain-Computer Interfaces - Taylor and Francis | 2024 Impact Factor: 2.1 | Cite Score:4.0 | Q2

Brain-Computer Interfaces Journal With Cite Score

Cite Score and Journal Rank of Brain-Computer Interfaces

  • About: The Brain-Computer Interfaces Journal is a peer-reviewed academic journal dedicated to the field of brain-computer interfaces (BCIs). It provides a platform for researchers, engineers, and clinicians to share advancements and innovations in BCIs, focusing on both theoretical and practical aspects of interfacing the human brain with computing systems.
  • Objective:
    The primary objective of the Brain-Computer Interfaces Journal is to advance the field of BCIs by publishing high-quality research that explores new technologies, methodologies, and applications related to brain-computer interactions. The journal aims to foster interdisciplinary research and facilitate the development of practical and effective BCI systems.
  • Topics Covered:
    The journal covers a wide range of topics, including: BCI system design and architecture Signal acquisition and processing in BCIs Neuroimaging and brain signal analysis Machine learning and artificial intelligence in BCIs Neurofeedback and cognitive training Applications in rehabilitation and assistive technologies Communication and control through BCIs Ethical and societal implications of BCIs Clinical trials and user studies Innovations in hardware and software for BCIs
  • Impact:
    The Brain-Computer Interfaces Journal has a significant impact by providing a specialized platform for disseminating research on BCIs. Its publications contribute to the advancement of BCI technologies and their applications, leading to improved interfaces and enhanced capabilities for users.
  • Significance:
    The journal is significant in promoting the development and application of brain-computer interface technologies. It supports the exchange of knowledge and fosters collaboration among researchers, clinicians, and technology developers. By addressing contemporary challenges and exploring new possibilities in BCIs, the journal plays a crucial role in advancing the field and expanding its impact on healthcare, communication, and human-computer interaction.

  • Editor-in-Chief:  Prof Chang S. Nam

  • Scope: The Brain-Computer Interfaces Journal focuses on the development, research, and application of brain-computer interface (BCI) technologies. This journal explores the ways in which BCIs can be used to establish direct communication pathways between the brain and external devices. Key areas covered include:
  • 1. BCI Technology and Systems
    Research on the design and development of BCI systems
    Studies on hardware and software components of BCIs
    Development of new technologies for brain signal acquisition, processing, and interpretation
  • 2. Signal Acquisition and Processing
    Research on methods for acquiring brain signals, including EEG, ECoG, and fNIRS
    Studies on signal processing techniques, noise reduction, and feature extraction
    Development of algorithms for decoding and interpreting brain signals
  • 3. BCI Applications and Use Cases
    Research on the application of BCIs in various domains such as healthcare, education, and entertainment
    Studies on BCIs for rehabilitation, assistive technologies, and cognitive enhancement
    Development of practical BCI solutions for real-world challenges
  • 4. Cognitive Neuroscience and BCI
    Research on the cognitive and neural mechanisms underlying BCI interactions
    Studies on brain activity patterns, neural encoding, and brain signal modulation
    Development of methods to enhance BCI performance through understanding of cognitive processes
  • 5. User Interface Design and Human Factors
    Research on the design of user interfaces for BCI systems
    Studies on user experience, usability, and user training for BCIs
    Development of strategies to improve user interaction and engagement with BCI technologies
  • 6. Ethics, Privacy, and Security
    Research on the ethical implications of BCI technologies
    Studies on privacy concerns, data protection, and security measures for BCI systems
    Development of guidelines and standards for ethical BCI research and implementation
  • 7. BCI for Neurorehabilitation
    Research on the use of BCIs for neurorehabilitation and recovery
    Studies on BCIs for motor and cognitive rehabilitation in neurological disorders
    Development of therapeutic BCI applications to support patient recovery and quality of life
  • 8. Machine Learning and AI in BCI
    Research on the application of machine learning and artificial intelligence in BCI systems
    Studies on algorithms for improving BCI accuracy, adaptability, and performance
    Development of AI-based approaches for brain signal classification and prediction
  • 9. Wearable and Implantable BCIs
    Research on wearable and implantable BCI devices
    Studies on device design, biocompatibility, and long-term usability
    Development of novel BCI form factors and integration with other technologies
  • 10. Clinical Trials and Evaluation
    Research on clinical trials and evaluation studies of BCI systems
    Studies on the efficacy, safety, and effectiveness of BCIs in clinical settings
    Development of methodologies for assessing BCI performance and user outcomes
  • Latest Research Topics for PhD in Computer Science

  • Print ISSN:  23262621

    Electronic ISSN:  2326263X

  • Abstracting and Indexing:  Scopus

  • Imapct Factor 2024:  2.1

  • Subject Area and Category:  Computer Science,Human-Computer Interaction,Engineering,Biomedical Engineering,Electrical and Electronic Engineering,Neuroscience,Behavioral Neuroscience

  • Publication Frequency:  

  • H Index:  23

  • Best Quartile:

    Q1:  

    Q2:  Electrical and Electronic Engineering

    Q3:  

    Q4:  

  • Cite Score:  4.0

  • SNIP:  0.714

  • Journal Rank(SJR):  0.480