List of Topics:
Research Breakthrough Possible @S-Logix pro@slogix.in

Office Address

Social List

IEEE Transactions on Cognitive and Developmental Systems | 2024 Impact Factor:4.9 | Cite Score:9.4 | Q1

IEEE Transactions on Cognitive and Developmental Systems Journal

Impact Factor and Journal Rank of IEEE Transactions on Cognitive and Developmental Systems

  • About: IEEE Transactions on Cognitive and Developmental Systems (TCDS) focuses on advancing the study of development and cognition in natural (humans, animals) and artificial (robots, agents) systems. The journal welcomes contributions from multiple related disciplines including cognitive systems, cognitive robotics, developmental and epigenetic robotics, autonomous and evolutionary robotics, social structures, multi-agent and artificial life systems, computational neuroscience, and developmental psychology. By integrating insights from these diverse fields, TCDS aims to explore the fundamental principles underlying cognitive and developmental processes in both biological and artificial systems.
  • Objective: The primary objective of IEEE Transactions on Cognitive and Developmental Systems (TCDS) is to promote interdisciplinary research and innovation in the study of cognition and development across natural and artificial systems. The journal seeks to advance theoretical foundations, computational models, and empirical studies that enhance our understanding of cognitive abilities, developmental processes, and adaptive behaviors. By publishing high-quality research articles, reviews, and methodologies, TCDS facilitates collaboration among researchers and practitioners to address complex challenges and opportunities in cognitive and developmental systems.
  • Interdisciplinary Focus: IEEE Transactions on Cognitive and Developmental Systems (TCDS) adopts a broad interdisciplinary approach, encouraging contributions that integrate knowledge and methodologies from cognitive science, robotics, neuroscience, psychology, computer science, and artificial intelligence. The journal promotes research that explores the intersection of biological and artificial systems, investigating how cognitive capabilities emerge, evolve, and adapt over time. By embracing diverse perspectives and methodologies, TCDS fosters innovation in designing autonomous systems, robots, and agents capable of cognitive learning, reasoning, and decision-making.
  • Global Reach and Impact: With a global readership and authorship, IEEE Transactions on Cognitive and Developmental Systems (TCDS) significantly influences research and development in cognitive and developmental robotics worldwide. Its publications contribute to advancing state-of-the-art technologies, theories, and applications in autonomous systems and artificial intelligence. The journal impact extends to academia, industry, and policymaking, fostering advancements in robotic systems, human-machine interaction, adaptive algorithms, and cognitive modeling.
  • High Standards and Rigorous Review: Maintaining high academic standards, IEEE Transactions on Cognitive and Developmental Systems (TCDS) employs a rigorous peer-review process. Each submitted manuscript undergoes thorough evaluation by experts in the field to ensure scientific rigor, methodological robustness, and originality of research contributions. This stringent review process upholds the integrity and credibility of the journal, ensuring that only impactful and authoritative studies are published.
  • Significance: IEEE Transactions on Cognitive and Developmental Systems (TCDS) plays a crucial role in advancing research and innovation at the intersection of cognitive science, developmental psychology, and robotics. By providing a platform for cutting-edge research findings and technological advancements, the journal supports the development of intelligent systems capable of learning, adaptation, and human-like cognition. It serves as a vital resource for researchers, educators, and practitioners seeking to understand and harness the capabilities of cognitive and developmental systems for addressing real-world challenges and advancing human-machine collaboration.

  • Editor-in-Chief:  Huajin Tang

  • Scope: It provides a platform for research contributions from diverse disciplines, including cognitive systems, cognitive robotics, developmental and epigenetic robotics, autonomous and evolutionary robotics, social structures, multi-agent and artificial life systems, computational neuroscience, and developmental psychology. Here is an overview of its key focus areas and scope:
  • 1. Cognitive Systems:
    Research on computational models and theories of cognition, perception, learning, and memory in natural and artificial systems.
    Advancements in cognitive architectures, brain-inspired computing, and neuromorphic engineering.
  • 2. Cognitive Robotics:
    Exploration of robotic systems that exhibit cognitive capabilities such as perception, reasoning, decision-making, and interaction.
    Research on robot learning, adaptation, autonomy, and human-robot interaction.
  • 3. Developmental and Epigenetic Robotics:
    Advancements in robots that learn and develop skills over time, inspired by theories of human and animal development.
    Research on morphological computation, embodiment, developmental psychology principles in robotics, and sensorimotor learning.
  • 4. Autonomous and Evolutionary Robotics:
    Research on autonomous robots that can operate in complex and dynamic environments, adapting and evolving over time.
    Advancements in evolutionary algorithms, swarm robotics, self-organization, and collective intelligence.
  • 5. Social Structures and Multi-Agent Systems:
    Exploration of social behaviors, cooperation, coordination, and communication among autonomous agents and robots.
    Research on social networks, game theory, emergent behavior, and distributed decision-making.
  • 6. Artificial Life Systems:
    Advancements in synthetic biology, evolutionary computation, and models of life-inspired systems.
    Research on artificial ecosystems, self-replicating machines, and bio-inspired computing.
  • 7. Computational Neuroscience:
    Research on computational models of neural systems, brain-inspired algorithms, and neural network architectures.
    Advancements in understanding brain functions, cognitive processes, and neural information processing.
  • 8. Developmental Psychology:
    Exploration of psychological theories and empirical studies related to human and animal development.
    Research on cognitive development, social cognition, language acquisition, and emotional development.
  • 9. Applications and Implementations:
    Development and deployment of cognitive and developmental systems in real-world applications.
    Research on healthcare robotics, assistive technologies, education, entertainment, and industrial automation.
  • 10. Interdisciplinary Approaches:
    Integration of insights and methodologies from multiple disciplines to advance the understanding and capabilities of cognitive and developmental systems.
    Research on collaborations between engineering, computer science, psychology, neuroscience, and related fields.
  • Latest Research Topics for PhD in Machine Learning
    •
  • Latest Research Topics for PhD in Artificial Intelligence
    •
  • Latest Research Topics for PhD in Data Mining

  • Print ISSN:  2379-8920

    Electronic ISSN:   2379-8939

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

  • Imapct Factor 2024:  4.9

  • Subject Area and Category:  Computing & Processing, Signal Processing & Analysis

  • Publication Frequency:  Quarterly

  • H Index:  62

  • Best Quartile:

    Q1:  Artificial Intelligence

    Q2:  

    Q3:  

    Q4:  

  • Cite Score:  9.4

  • SNIP:  1.576

  • Journal Rank(SJR):  1.249