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This paper presents a comprehensive analysis of 3560 research documents in the field of information management within computer science. Through systematic examination of publication trends, geographical distributions, and thematic developments, we trace the evolution of this critical discipline from its database-centric origins to its current position as a multifaceted field encompassing big data architectures, AI-driven solutions, and quantum information systems. Our analysis reveals three distinct phases of development, highlights emerging research frontiers, and identifies key challenges that will shape the future of information management. The findings demonstrate how technological advancements and growing data complexities have transformed information management into one of the most dynamic and consequential areas of computer science research.

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The Evolution and Impact of Information Management in Computer Science: A Comprehensive Research Analysis

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  • 发表日期：

    2026年

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  • Anber Abraheem Shlash Mohammad,
  • Asokan Vasudevan,
  • Khaleel Ibrahim Al-Daoud,
  • Suleiman Ibrahim Shelash Mohammad,
  • Nawaf Alshdaifat,
  • J. Bamini,
  • Mowafaq Salem Alzboon,
  • Sam Toong Hai,
  • Mutaz Abdel Wahed

摘要

This paper presents a comprehensive analysis of 3560 research documents in the field of information management within computer science. Through systematic examination of publication trends, geographical distributions, and thematic developments, we trace the evolution of this critical discipline from its database-centric origins to its current position as a multifaceted field encompassing big data architectures, AI-driven solutions, and quantum information systems. Our analysis reveals three distinct phases of development, highlights emerging research frontiers, and identifies key challenges that will shape the future of information management. The findings demonstrate how technological advancements and growing data complexities have transformed information management into one of the most dynamic and consequential areas of computer science research.