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Big Data - Mary Ann Liebert Inc | 2024 Impact Factor: 2.0 | Cite Score: 9.0 | Q2

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Big Data - Mary Ann Liebert Inc | 2024 Impact Factor: 2.0 | Cite Score: 9.0 | Q2

  • About this Journal:
  • Big Data is the leading peer-reviewed journal covering the challenges and opportunities in collecting, analyzing, and disseminating vast amounts of data. The Journal addresses questions surrounding this powerful and growing field of data science and facilitates the efforts of researchers, business managers, analysts, developers, data scientists, physicists, statisticians, infrastructure developers, academics, and policymakers to improve operations, profitability, and communications within their businesses and institutions.
  • Spanning a broad array of disciplines focusing on novel big data technologies, policies, and innovations, the Journal brings together the community to address current challenges and enforce effective efforts to organize, store, disseminate, protect, manipulate, and, most importantly, find the most effective strategies to make this incredible amount of information work to benefit society, industry, academia, and government.
  • Publishes original research, reviews, and case studies emphasizing the impact of big data across multiple disciplines.

  • Editor-in-Chief:  Zoran Obradovic, PhD

  • Scope of the Journal:
  • Big data analytics, data mining, and machine learning;
  • Data storage, management, and retrieval systems;
  • Cloud computing, distributed computing, and high-performance computing for big data;
  • Applications in healthcare, finance, social media, smart cities, and industry;
  • Privacy, security, and ethical considerations in big data usage;
  • Visualization, knowledge discovery, and predictive modeling with big data;
  • Scalable algorithms and systems for processing large-scale datasets.
  • Latest Research Topics for PhD in Big Data
  • Latest Research Topics for PhD in Computer Science

  • Print ISSN:  21676461

    Electronic ISSN:  2167647X

  • Abstracting and Indexing:  Scopus, Science Citation Index Expanded

  • Imapct Factor 2024:  2.0

  • Subject Area and Category:  Computer Science Applications, Information Systems

  • Publication Frequency:  Hybrid

  • H Index:  45

  • Best Quartile:

    Q1:  

    Q2:  Computer Science Applications

    Q3:  

    Q4:  

  • Cite Score:  9.0

  • SNIP:  1.330

  • Journal Rank(SJR):  0.692