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SpringerNature | Journal Suggester

Journal of Big Data

Open Access

  • Impact factor

    -

  • First decision (average)

    51 days

  • Acceptance rate

    47%

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Aims and Scope

The Journal of Big Data publishes open-access original research on data science and data analytics. Deep learning algorithms and all applications of big data are welcomed. Survey papers and case studies are also considered.

The journal examines the challenges facing big data today and going forward including, but not limited to: data capture and storage; search, sharing, and analytics; big data technologies; data visualization; architectures for massively parallel processing; data mining tools and techniques; machine learning algorithms for big data; cloud computing platforms; distributed file systems and databases; and scalable storage systems. Academic researchers and practitioners will find the Journal of Big Data to be a seminal source of innovative material.

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Indexed by Google Scholar, EBSCO Discovery Service, SCImago, Science Citation Index Expanded (SCIE), UGC-CARE List (India), Dimensions, DOAJ, Gale, ProQuest-ExLibris Primo, ProQuest-ExLibris Summon, WTI AG, Current Contents/Engineering, Computing and Technology, ProQuest ABI/INFORM, Chinese Academy of Sciences (CAS) - GoOA, Naver, DBLP, CNKI, OCLC WorldCat Discovery Service, TD Net Discovery Service, SCOPUS, INSPEC, ProQuest Advanced Technologies & Aerospace Database, Norwegian Register for Scientific Journals and Series, CNPIEC, CLOCKSS, Portico, Baidu, Wanfang.

Publication charge

US$ 1,790.00|£ 1,190.00|€ 1.490.00