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Scientia Sinica Informationis - Science China Press | 2024 Impact Factor:7.6 | Cite Score:2.3 | Q3

Scientia Sinica Informationis Journal With Cite Score

Cite Score and Journal Rank of Scientia Sinica Informationis

  • About: Scientia Sinica Informationis is a peer-reviewed academic journal that focuses on research related to information science and technology. It is part of the broader Scientia Sinica journal series, which covers various scientific disciplines. The journal provides a platform for researchers to publish significant advancements in the field of information science.
  • Objective: The primary objective of Scientia Sinica Informationis is to advance knowledge in the field of information science and technology by publishing high-quality research. The journal covers a wide range of topics including information retrieval, data management, information systems, database technology, and computational techniques for processing and analyzing information. It aims to foster the development of new theories, methodologies, and applications in information science.
  • Interdisciplinary Approach: The journal adopts an interdisciplinary approach by integrating research from computer science, information technology, mathematics, and engineering. This approach allows for a comprehensive exploration of complex problems related to information science and technology. Contributions that address the integration of these fields and provide innovative solutions to information management and processing challenges are particularly encouraged.
  • Impact and Significance: The Scientia Sinica Informationis journal has significant impact within the academic and professional communities involved in information science. The research published in the journal contributes to the advancement of theoretical and practical aspects of information technology, offering valuable insights and tools for researchers, practitioners, and policymakers. The journal serves as a key resource for staying informed about the latest developments and trends in the field of information science.

  • Editor-in-Chief:  Hong MEI

  • Scope: The Scientia Sinica Informationis journal focuses on research in the field of information science and technology, with an emphasis on advancements and developments in information systems and computing. The journal covers a range of topics related to both theoretical and applied aspects of information science. Key areas include:
  • 1. Information Systems: Development and analysis of information systems, including database management, information retrieval, and system design.
  • Computational Theory: Research on theoretical foundations of computation, including algorithms, complexity theory, and computational models.
  • Data Science and Analytics: Techniques and methodologies for analyzing and interpreting large datasets, including statistical methods, machine learning, and data mining.
  • Artificial Intelligence: Studies on AI technologies and applications, including natural language processing, computer vision, and intelligent systems.
  • Information Retrieval and Management: Research on methods for retrieving and managing information, including search engines, data organization, and knowledge management.
  • Software Engineering: Development and evaluation of software engineering practices, including software design, testing, and maintenance.
  • Networking and Communication: Studies on network protocols, communication systems, and distributed computing, including security and performance issues.
  • Human-Computer Interaction: Research on user interfaces and interactions between humans and computers, including usability, accessibility, and user experience.
  • Information Security: Techniques and methodologies for securing information systems, including cryptography, secure communication, and risk management.
  • Big Data: Exploration of technologies and techniques for managing and analyzing big data, including storage, processing, and visualization.
  • Interdisciplinary Research: Studies that integrate information science with other fields, such as bioinformatics, health informatics, and social sciences.
  • Emerging Technologies: Research on new and emerging technologies in information science, including advancements in hardware, software, and computational methods.
  • Latest Research Topics for PhD in Computer Science

  • Print ISSN:  16747267

    Electronic ISSN:  20959486

  • Abstracting and Indexing:  Scopus

  • Imapct Factor 2024:  7.6

  • Subject Area and Category:   Computer Science, Computer Science (miscellaneous), Engineering, Engineering (miscellaneous)

  • Publication Frequency:  

  • H Index:  19

  • Best Quartile:

    Q1:  

    Q2:  

    Q3:  Engineering (miscellaneous)

    Q4:  

  • Cite Score:  2.3

  • SNIP:  0.579

  • Journal Rank(SJR):  0.263