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Frontiers in Big Data | 2024 Impact Factor: 2.3 | Cite Score: 6.1 | Q2

frontiers-in-big-data.jpg

Frontiers in Big Data | 2024 Impact Factor: 2.3 | Cite Score: 6.1 | Q2

  • About this Journal:
  • Frontiers in Big Data is an international, peer-reviewed, open access journal that focuses on the latest research and innovations in the field of big data science and analytics.Frontiers in Big Data is an interdisciplinary journal that focuses on the advancements and applications of big data. Led by Field Chief Editor, Dr Huan Liu (Arizona State University, USA) the journal focuses on understanding and managing the power of big data, as well as acquiring intelligence from information to address and solve the biggest challenges of humankind. Frontiers in Big Data welcomes research contributions across the multifaceted and vast field, which advance new methodologies and develops data science, AI, data mining, and medical health informatics. Topics include, but are not limited to: big data networks big data and AI in high energy physics cybersecurity and privacy data analytics for social impact data mining and management data science data-driven climate sciences machine learning and artificial intelligence medicine and public health.
  • The journal aims to advance understanding and practical applications of big data technologies across scientific, industrial, and societal domains.
  • It provides a platform for researchers, data scientists, and practitioners to present methodologies, systems, and frameworks for managing and interpreting large-scale datasets.
  • Frontiers in Big Data also emphasizes data-driven decision-making, data privacy, and the ethical use of data in artificial intelligence and machine learning applications.

  • Editor-in-Chief:  Huan Liu

  • Print ISSN:  

    Electronic ISSN:  2624909X

  • Abstracting and Indexing:  Emerging Sources Citation Index (ESCI), Scopus

  • Imapct Factor 2024:  2.3

  • Subject Area and Category:  Artificial Intelligence, Computer Science (miscellaneous), Information Systems

  • Publication Frequency:  

  • H Index:  33

  • Best Quartile:

    Q1:  

    Q2:  Artificial Intelligence

    Q3:  

    Q4:  

  • Cite Score:  6.1

  • SNIP:  0.947

  • Journal Rank(SJR):  0.554