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Information Processing and Management - Elsevier | 2024 Impact Factor:6.9 | Cite Score:18.6 | Q1

Information Processing and Management Journal

Impact Factor and Journal Rank of Information Processing and Management

  • About: Information Processing & Management (IP&M) is a reputable peer-reviewed academic journal that publishes cutting-edge research on information processing, management, and retrieval. It focuses on the theoretical, empirical, and practical aspects of information science and covers a broad range of topics related to the acquisition, processing, storage, and dissemination of information. The journal serves as a significant platform for researchers, practitioners, and academics who are involved in the study and application of information systems and technologies.
  • Content Types: Research Articles: In-depth research studies presenting novel methodologies, experimental results, and theoretical advancements in the field of information processing and management. Review Articles: Comprehensive reviews that synthesize existing research, highlight current trends, and suggest future research directions. Case Studies: Practical case studies that demonstrate the application of information processing and management techniques in real-world scenarios.
  • High Standards and Impact: Peer-Reviewed: IP&M employs a rigorous peer-review process to ensure the quality, accuracy, and significance of published articles. Interdisciplinary Approach: The journal interdisciplinary approach encourages the integration of knowledge from various fields, fostering innovation and collaboration. Citation Impact: Articles published in IP&M are widely cited, reflecting the journal influence and contribution to the advancement of information science and management research.
  • Global Reach: International Contributors: The journal attracts contributions from researchers and practitioners worldwide, providing diverse perspectives and insights. Multidisciplinary Content: IP&M publishes research that spans multiple disciplines, promoting a holistic understanding of information processing and management.
  • Significance:Information Processing & Management (IP&M) is a leading academic journal that significantly contributes to the advancement of information science and management. Its interdisciplinary focus, high standards, and global reach make it an invaluable resource for researchers, practitioners, policymakers, and students in the field.

  • Editor-in-Chief:  Jim Jansen

  • Scope: Information Processing & Management (IP&M) is a peer-reviewed academic journal that publishes original research articles, reviews, and technical notes on all aspects of information processing and management. The journal covers a broad range of topics related to the creation, representation, organization, retrieval, and use of information in various contexts.
  • The scope of the journal includes, but is not limited to, the following areas:
  • Information Retrieval: Studies and advancements in algorithms, models, and techniques for retrieving information from databases and other information systems.
  • Data Management: Research on the management of structured and unstructured data, including data modeling, database management systems, and big data analytics.
  • Knowledge Discovery and Data Mining: Exploration of methods for discovering patterns, relationships, and insights from large datasets.
  • Human-Computer Interaction (HCI): Research on the design, evaluation, and implementation of interactive computing systems for human use.
  • Information Behavior: Studies on how individuals seek, use, and interact with information in various contexts.
  • Digital Libraries and Archives: Research on the development, management, and evaluation of digital libraries and archival systems.
  • Information Systems: Analysis of the design, development, and evaluation of information systems, including information architecture and system usability.
  • Information Policy and Ethics: Exploration of the ethical, legal, and policy issues related to information processing and management.
  • Latest Research Topics for PhD in Computer Science
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  • Print ISSN:  03064573

    Electronic ISSN:  18735371

  • Abstracting and Indexing:  Scopus, Science Citation Index Expanded

  • Imapct Factor 2024:  6.9

  • Subject Area and Category:  Computer Science,Computer Science Applications,Information Systems,Decision Sciences,Management Science and Operations Research,Engineering,Media Technology,Social Sciences,Library and Information Sciences

  • Publication Frequency:  

  • H Index:  137

  • Best Quartile:

    Q1:  Computer Science Applications

    Q2:  

    Q3:  

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  • Cite Score:  18.6

  • SNIP:  2.906

  • Journal Rank(SJR):  2.062