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New Generation Computing - Springer Nature | 2024 Impact Factor:2.8 | Cite Score:7.4 | Q2

New Generation Computing Journal

Impact Factor and Journal Rank of New Generation Computing

  • About: New Generation Computing (NGC) is a peer-reviewed journal that focuses on emerging trends and advancements in computing technologies and their applications. The journal covers a wide range of topics including but not limited to artificial intelligence, machine learning, data science, cloud computing, Internet of Things (IoT), blockchain technology, quantum computing, and their interdisciplinary applications. NGC aims to publish high-quality research that explores novel computing paradigms, algorithms, architectures, and methodologies shaping the future of computing.
  • Objective:
    The primary objective of New Generation Computing is to serve as a leading platform for researchers, engineers, and practitioners to share innovative research and developments in cutting-edge computing technologies. The journal aims to bridge the gap between theory and practice by showcasing theoretical advancements and practical applications across various domains. NGC seeks to facilitate collaborations and knowledge exchange among experts working on the forefront of computing innovation, thereby influencing the future directions of technology and society.
  • Interdisciplinary Approach:
    NGC adopts an interdisciplinary approach, welcoming contributions from diverse fields such as computer science, engineering, mathematics, physics, biology, social sciences, and beyond. The journal covers a broad spectrum of topics that integrate computational methods with other disciplines, fostering cross-disciplinary research and innovation. By exploring the intersections of computing technologies with emerging fields and applications, NGC addresses complex challenges and opportunities in modern society and industry.
  • Impact:
    The impact of New Generation Computing is profound in both academic research and industrial applications. By publishing groundbreaking research articles, surveys, and reviews, the journal influences advancements in computing technologies, methodologies, and applications. NGCs publications contribute to enhancing computational efficiency, scalability, security, and reliability across various domains including healthcare, finance, transportation, energy, and entertainment. The journals insights and innovations drive technological progress and shape the global landscape of computing.
  • Significance:
    New Generation Computing holds significant importance for researchers, practitioners, and policymakers interested in the transformative potential of computing technologies. The journals contributions include but are not limited to advancing AI algorithms, optimizing data analytics frameworks, enhancing IoT systems, exploring quantum computing principles, and leveraging blockchain innovations. By promoting rigorous research and practical applications, NGC supports the development of sustainable and ethical computing solutions that address societal challenges and contribute to economic growth and technological advancement.

  • Editor-in-Chief:  Yutaka Matsuo

  • Scope: New Generation Computing is a peer-reviewed journal that focuses on the latest advancements in computing technologies, including theoretical foundations, methodologies, applications, and emerging trends. It covers a wide range of topics, including:
  • Computational Paradigms:
    Exploration and development of new computational paradigms, including quantum computing, DNA computing, bio-inspired computing, and unconventional computing models.
  • Machine Learning and Artificial Intelligence:
    Advancements in machine learning algorithms, artificial neural networks, deep learning, reinforcement learning, and applications in various domains such as image processing, natural language processing, and robotics.
  • Cloud and Edge Computing:
    Architectures, technologies, and applications of cloud computing, edge computing, fog computing, and their impact on distributed systems, IoT, and big data analytics.
  • High-Performance Computing:
    Methods, techniques, and tools for optimizing performance, scalability, and efficiency of computational systems, including parallel computing, grid computing, and supercomputing.
  • Mobile and Ubiquitous Computing:
    Design, development, and applications of mobile computing systems, pervasive computing environments, wearable devices, and mobile sensing technologies.
  • Cyber-Physical Systems:
    Integration of computational elements with physical processes, including smart cities, intelligent transportation systems, healthcare systems, and industrial automation.
  • Internet of Things (IoT):
    Technologies, protocols, and applications of IoT systems, including sensor networks, IoT security, data management, and IoT-enabled smart environments.
  • Big Data and Data Analytics:
    Methods for processing, analyzing, and visualizing large-scale data sets, including data mining, machine learning techniques for big data, and scalable data analytics platforms.
  • Blockchain and Cryptography:
    Applications of blockchain technology, cryptographic protocols, secure computing, privacy-preserving techniques, and decentralized systems.
  • Software Engineering and Development:
    Innovations in software design methodologies, software testing, software quality assurance, software architecture, and agile development practices.
  • Latest Research Topics for PhD in Computer Science

  • Print ISSN:  0288-3635

    Electronic ISSN:  1882-7055

  • Abstracting and Indexing:  Scopus, SCIE

  • Imapct Factor 2024:  2.8

  • Subject Area and Category:   Computer Science, Computer Networks and Communications, Hardware and Architecture, Software, Mathematics, Theoretical Computer Science

  • Publication Frequency:  

  • H Index:  35

  • Best Quartile:

    Q1:  

    Q2:  Computer Networks and Communications

    Q3:  

    Q4:  

  • Cite Score:  7.4

  • SNIP:  1.203

  • Journal Rank(SJR):  0.472