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Scientific and Technical Information Processing - Pleiades Publishing | 2024 Cite Score:0.9 | Q4

Scientific and Technical Information Processing Journal With Cite Score

Cite Score and Journal Rank of Scientific and Technical Information Processing

  • About: Scientific and Technical Information Processing (STIP) is a peer-reviewed academic journal that focuses on research related to information processing in scientific and technical contexts. The journal publishes high-quality articles on methods and applications of information processing, data management, and computational techniques in various scientific and technical fields.
  • Objective: The primary objective of the Scientific and Technical Information Processing journal is to advance the field by disseminating research on innovative approaches and technologies for processing scientific and technical information. This includes topics such as data analysis, information retrieval, computational methods, data visualization, and information systems. The journal aims to provide a platform for researchers to share their findings and contribute to the development of effective information processing solutions.
  • Interdisciplinary Approach: The journal adopts an interdisciplinary approach by integrating research from various domains such as computer science, information technology, data science, and engineering. This approach allows for a comprehensive exploration of how information processing techniques can be applied across different scientific and technical areas. Contributions that bridge multiple disciplines and offer novel solutions to complex information processing challenges are particularly encouraged.
  • Impact and Significance: Scientific and Technical Information Processing has a significant impact on the academic and professional communities involved in information processing and management. The research published in the journal provides valuable contributions by presenting new methodologies, tools, and applications that address contemporary issues in processing scientific and technical data. It serves as a key resource for researchers, practitioners, and technologists who are engaged in developing and applying information processing technologies.

  • Editor-in-Chief:  Ruggero S. Gilyarevskii

  • Scope: The Scientific and Technical Information Processing Journal focuses on advancements in the processing, management, and dissemination of scientific and technical information. It provides a platform for research on the methodologies, tools, and systems used to handle technical data and information. The journals scope includes:
  • 1. Information Retrieval and Management: Research on techniques and systems for retrieving, managing, and organizing scientific and technical information.
  • 2. Data Mining and Knowledge Discovery: Studies on methods for extracting useful patterns and knowledge from large datasets, including algorithms and applications.
  • Information Systems and Databases: Exploration of systems and technologies for managing and querying scientific and technical databases, including database design and data integration.
  • 4. Computational Methods and Algorithms: Research on computational techniques and algorithms for processing and analyzing scientific and technical data.
  • 5. Text and Document Processing: Studies on methods for processing and analyzing text and documents, including text mining, document classification, and information extraction.
  • 6. Scientific Data Visualization: Exploration of techniques for visualizing scientific and technical data to enhance understanding and interpretation.
  • 7. Metadata and Ontologies: Research on metadata standards, ontologies, and semantic technologies for organizing and accessing scientific and technical information.
  • 8. Knowledge Management Systems: Studies on systems and practices for managing knowledge within scientific and technical domains, including collaboration tools and knowledge sharing.
  • 9. Digital Libraries and Archives: Exploration of technologies and methodologies for creating and maintaining digital libraries and archives of scientific and technical information.
  • 10. Scientific and Technical Communication: Research on communication methods and technologies for disseminating scientific and technical information to various audiences.
  • 11. Information Quality and Integrity: Studies on ensuring the quality and integrity of scientific and technical information, including data validation and verification.
  • 12. Electronic Publishing and Digital Content: Exploration of electronic publishing practices, digital content management, and the impact of digital technologies on scientific and technical publishing.
  • Latest Research Topics for PhD in Computer Science

  • Print ISSN:  01476882

    Electronic ISSN:   19348118

  • Abstracting and Indexing:  Scopus

  • Imapct Factor 2023:  0.4

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

  • Publication Frequency:  

  • H Index:  16

  • Best Quartile:

    Q1:  

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    Q4:  Computer Science (miscellaneous)

  • Cite Score:  0.9

  • SNIP:  0.386

  • Journal Rank(SJR):  0.178