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Annals of Data Science - Springer Science and Business Media Deutschland GmbH | 2024 Cite Score: 8.5 | Q1

annals-of-data-science.jpg

Annals of Data Science - Springer Science and Business Media Deutschland GmbH | 2024 Cite Score: 8.5 | Q1

  • About this Journal:
  • Annals of Data Science (AODS) publishes cutting-edge research findings, experimental results and case studies of data science. Data science can be regarded as interdisciplinary techniques, including statistics, artificial intelligence, and optimization in Big Data processing and data mining for decision making. AODS encourages contributors to not only explore the theoretical bases of data science, but also address challenging problems in data science applications, such as finance, healthcare, climate changes, etc. In addition, AODS promotes the papers in discovering knowledge from heterogeneous data in big data environment, artificial intelligent algorithm research, computing power networks as well as the digital economy problems.
  • Established in 2014; peer-reviewed and indexed in Scopus and other major databases.
  • Open access with article processing charges; some discounts available under institutional deals.
  • Covers both theoretical developments and practical applications in data science, statistics, machine learning.

  • Editor-in-Chief:  Yong Shi

  • Print ISSN:  21985804

    Electronic ISSN:  21985812

  • Abstracting and Indexing:  Scopus

  • Imapct Factor :  

  • Subject Area and Category:  Business, Management and Accounting (miscellaneous), Artificial Intelligence

  • Publication Frequency:  Hybrid

  • H Index:  32

  • Best Quartile:

    Q1:  Business, Management and Accounting (miscellaneous)

    Q2:  

    Q3:  

    Q4:  

  • Cite Score:  8.5

  • SNIP:  1.859

  • Journal Rank(SJR):  0.832