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Cognitive Computation - Springer | 2024 Impact Factor:4.3 | Cite Score:9.3 | Q1

Cognitive Computation Journal

Impact Factor and Journal Rank of Cognitive Computation

  • About: The Cognitive Computation Journal is a peer-reviewed publication by Springer. It focuses on research at the intersection of cognitive science and computational intelligence, encompassing theories, methodologies, algorithms, and applications aimed at understanding and simulating human cognition. The journal serves as a platform for scholars, researchers, and practitioners to publish original research articles, reviews, and case studies that advance the understanding and application of cognitive computation.
  • Objective: The primary objective of the Cognitive Computation Journal is to promote research and innovation in cognitive computation. The journal aims to explore theories, models, and computational approaches that bridge the gap between human cognition and artificial intelligence. By publishing high-quality research, the journal seeks to contribute to the development of intelligent systems that can perceive, reason, learn, and interact with humans in a cognitive-like manner.
  • Interdisciplinary Focus: The Cognitive Computation Journal adopts an interdisciplinary approach, welcoming contributions from various fields related to cognitive science and computational intelligence, including but not limited to, Cognitive Psychology, Neuroscience, Artificial Intelligence, Machine Learning, Cognitive Robotics, Natural Language Processing, Computer Vision, Human-Computer Interaction, Cognitive Modeling, Brain-Computer Interfaces. This interdisciplinary perspective fosters collaboration and innovation, leading to the development of advanced cognitive systems that exhibit human-like cognitive abilities.
  • Global Reach and Impact: With a broad international readership and authorship, the Cognitive Computation Journal has a global reach and impact. Its publications contribute to the dissemination of knowledge and advancements in cognitive computation worldwide. The journal content influences both academic research and practical applications, driving progress in areas such as intelligent tutoring systems, affective computing, autonomous robotics, medical diagnosis, and personalized recommendation systems.
  • High Standards and Rigorous Review: Maintaining high academic standards, the Cognitive Computation Journal 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: The Cognitive Computation Journal plays a significant role in advancing research and practice at the intersection of cognitive science and computational intelligence. By providing a platform for the publication of cutting-edge research findings, the journal contributes to the growth of knowledge and innovation in cognitive computation. It serves as an essential resource for researchers, practitioners, educators, and students interested in developing intelligent systems that can understand, adapt, and interact with humans in cognitively meaningful ways.

  • Editor-in-Chief:  Amir Hussain

  • Scope: The Cognitive Computation journal, published by Springer, is a reputable peer-reviewed publication that focuses on advancing research at the intersection of cognitive science and computational intelligence. It provides a significant platform for researchers, practitioners, and scholars to share their latest findings, methodologies, and practical insights in the domain of cognitive computing. Here is an overview of its key focus areas and scope:
  • 1. Cognitive Modeling and Simulation:
    Research on computational models and simulations of cognitive processes, including perception, attention, memory, learning, reasoning, and decision-making.
    Advancements in cognitive architectures, neural networks, and hybrid computational models inspired by human cognition.
  • 2. Machine Learning and Pattern Recognition:
    Exploration of machine learning algorithms, pattern recognition techniques, and data mining methods for modeling and understanding cognitive phenomena.
    Research on supervised, unsupervised, and reinforcement learning approaches for cognitive tasks such as classification, clustering, and predictive modeling.
  • 3. Natural Language Processing and Understanding:
    Advancements in natural language processing (NLP) techniques, semantic analysis, and discourse understanding for processing human language and communication.
    Research on sentiment analysis, text summarization, question answering systems, and dialogue management in cognitive computing applications.
  • 4. Perception and Sensory Processing:
    Exploration of computational models and algorithms for processing sensory information, including vision, audition, touch, taste, and smell.
    Research on image processing, audio signal processing, and multimodal fusion techniques for cognitive perception and sensorimotor integration.
  • 5. Cognitive Robotics and Autonomous Systems:
    Advancements in cognitive robotics, autonomous agents, and intelligent systems capable of perceiving, reasoning, and acting in complex environments.
    Research on robot learning, human-robot interaction, and cognitive architectures for autonomous decision-making and adaptive behavior.
  • 6. Computational Neuroscience and Brain-Inspired Computing:
    Exploration of computational models inspired by the structure and function of the brain, including spiking neural networks, neural coding, and neural plasticity.
    Research on brain-computer interfaces (BCIs), neurofeedback systems, and neuromorphic computing architectures for cognitive applications.
  • 7. Cognitive Visualization and Human-Computer Interaction:
    Advancements in cognitive visualization techniques, interactive data visualization, and visual analytics for supporting cognitive reasoning and decision-making.
    Research on user interface design, cognitive ergonomics, and human-centered design principles for enhancing human-computer interaction in cognitive computing systems.
  • 8. Cognitive Assistive Technologies and Augmented Cognition:
    Exploration of assistive technologies, cognitive prosthetics, and augmented cognition systems designed to enhance human cognitive abilities and performance.
    Research on brain-computer interfaces (BCIs), cognitive training tools, and assistive devices for individuals with cognitive impairments or disabilities.
  • 9. Ethical, Social, and Philosophical Implications of Cognitive Computing:
    Advancements in understanding the ethical and societal implications of cognitive computing technologies, including issues related to privacy, bias, fairness, and accountability.
    Research on ethical decision-making frameworks, responsible AI, and the impact of cognitive technologies on society, culture, and human values.
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  • Print ISSN:  1866-9956

    Electronic ISSN:  1866-9964

  • Abstracting and Indexing:  Science Citation Index Expanded, Scopus.

  • Imapct Factor 2024:  4.3

  • Subject Area and Category:  Computer Science, Computer Science Applications, Computer Vision and Pattern Recognition, Neuroscience, Cognitive Neuroscience.

  • Publication Frequency:  Quarterly

  • H Index:  73

  • Best Quartile:

    Q1:  Cognitive Neuroscience

    Q2:  

    Q3:  

    Q4:  

  • Cite Score:  9.8

  • SNIP:  1.291

  • Journal Rank(SJR):  0.841