International Journal of Neural Systems - Impact Factor

International Journal of Neural Systems - World Scientific | 2024 Impact Factor:6.4 | Cite Score:12.0 | Q1

International Journal of Neural Systems - World Scientific - Impact Factor

Impact Factor and Journal Rank of International Journal of Neural Systems

About: International Journal of Neural Systems is a peer-reviewed journal published by World Scientific. It focuses on research in neural systems, including computational neuroscience, neural engineering, and brain-inspired technologies. The journal provides a platform for researchers, engineers, and neuroscientists to publish original research articles, reviews, and technical notes that advance the understanding and development of neural systems and their applications.
Objective: The primary objective of International Journal of Neural Systems is to promote research and innovation in neural systems and related fields. The journal aims to explore the complex mechanisms of the brain, develop computational models of neural processes, and design brain-inspired technologies. By publishing high-quality research, the journal contributes to the advancement of neuroscience, neural engineering, and artificial intelligence.
Interdisciplinary Focus: International Journal of Neural Systems adopts an interdisciplinary approach, welcoming contributions from various fields related to neural systems, including but not limited to, Neuroscience, Biomedical Engineering, Computer Science, Cognitive Science, Robotics, Machine Learning, Neurotechnology, Neuroinformatics, Neurorehabilitation and Brain-Computer Interfaces. This interdisciplinary perspective fosters collaboration and innovation, leading to the development of novel neural-inspired solutions for real-world applications.
Global Reach and Impact: With a broad international readership and authorship, International Journal of Neural Systems has a global reach and impact. Its publications contribute to the dissemination of knowledge and advancements in neural systems worldwide. The journal content influences both academic research and industrial applications, driving progress in areas such as brain-inspired computing, neural prosthetics, neurorehabilitation, and understanding neurological disorders.
High Standards and Rigorous Review: Maintaining high academic standards, International Journal of Neural Systems conducts a rigorous peer-review process. Each submitted manuscript undergoes thorough evaluation by experts in the field to ensure the quality, originality, and scientific rigor of the research. This stringent review process upholds the integrity and reputation of the journal, ensuring that only high-quality and impactful research is published.
Significance: International Journal of Neural Systems plays a significant role in advancing research and practice in neural systems and related disciplines. By providing a platform for the publication of cutting-edge research findings, the journal contributes to the growth of knowledge and innovation in neuroscience and neural engineering. It serves as an essential resource for researchers, engineers, and clinicians seeking to understand the complexities of neural systems and develop transformative technologies for the benefit of society.

Journal Home: Journal Homepage

Editor-in-Chief: Hojjat Adeli

Scope: The International Journal of Neural Systems, published by World Scientific, is a prestigious peer-reviewed journal dedicated to the advancement of research in neural systems and their applications. It serves as a platform for researchers, engineers, and practitioners to disseminate their findings and innovations in the field of neural systems. Here is an overview of its key focus areas and scope:
1. Neural Modeling and Simulation:
Research on computational models of neural systems, including artificial neural networks, spiking neural networks, and biologically-inspired models.
Advancements in simulation techniques, neural network architectures, and learning algorithms.
2. Brain-Computer Interfaces:
Topics covering brain-computer interface (BCI) technologies, neuroprosthetics, and brain-machine interfaces for communication and control.
Research on signal processing methods, feature extraction techniques, and applications of BCIs in assistive technology and rehabilitation.
3. Cognitive Neuroscience:
Advancements in cognitive neuroscience research, including studies on perception, attention, memory, and decision-making.
Topics covering functional brain imaging techniques, neural correlates of behavior, and computational models of cognitive processes.
4. Neuromorphic Engineering:
Research on neuromorphic hardware, brain-inspired computing architectures, and hardware implementations of neural networks.
Advancements in neuromorphic chips, memristor-based devices, and hardware accelerators for neural computation.
5. Neural Signal Processing:
Topics covering signal processing techniques for neural data analysis, including EEG, fMRI, and single-neuron recordings.
Research on feature extraction, classification algorithms, and decoding methods for neural signals.
6. Neuroinformatics and Data Mining:
Advancements in neuroinformatics tools, databases, and software platforms for the organization and analysis of neural data.
Topics covering data mining techniques, machine learning algorithms, and big data analytics in neuroscience.
7. Neurorehabilitation and Neuroplasticity:
Research on neural mechanisms of neurorehabilitation, neural plasticity, and recovery from neurological injuries.
Advancements in rehabilitation robotics, virtual reality systems, and brain stimulation techniques for motor and cognitive rehabilitation.
8. Clinical Applications of Neural Systems:
Topics covering the application of neural systems in clinical diagnosis, treatment, and monitoring of neurological disorders.
Research on neuroimaging biomarkers, diagnostic algorithms, and therapeutic interventions for neurological and psychiatric conditions.