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Data & Knowledge Engineering

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(Redirected from Data and Knowledge Engineering) Academic journal
Data & Knowledge Engineering
DisciplineComputer science
LanguageEnglish
Edited byP.P. Chen
Publication details
History1985–present
PublisherElsevier
FrequencyMonthly
Impact factor1.992 (2020)
Standard abbreviations
ISO 4 (alt) · Bluebook (alt)
NLM (alt) · MathSciNet (alt Paid subscription required)
ISO 4Data Knowl. Eng.
Indexing
CODEN (alt · alt2) · JSTOR (alt) · LCCN (alt)
MIAR · NLM (alt) · Scopus
CODENDKENEW
ISSN0169-023X (print)
1872-6933 (web)
LCCN90649274
OCLC no.630595125
Links

Data & Knowledge Engineering is a monthly peer-reviewed academic journal in the area of database systems and knowledge base systems. It is published by Elsevier and was established in 1985. The editor-in-chief is P.P. Chen (Louisiana State University).

Abstracting and indexing

The journal is abstracted and indexed in Current Contents/Engineering, Computing & Technology, Ei Compendex, Inspec, Science Citation Index Expanded, Scopus, and Zentralblatt MATH. According to the Journal Citation Reports, the journal has a 2020 impact factor of 1.992.

References

  1. ^ "Master Journal List". Intellectual Property & Science. Clarivate Analytics. Archived from the original on 2017-09-26. Retrieved 2017-02-14.
  2. "Content/Database Overview - Compendex Source List". Engineering Village. Elsevier. Retrieved 2017-02-14.
  3. "Inspec list of journals" (PDF). Inspec. Institution of Engineering and Technology. Retrieved 2017-02-14.
  4. "Source details: Data and Knowledge Engineering". Scopus preview. Elsevier. Retrieved 2017-02-14.
  5. "Serials Database". Zentralblatt MATH. Springer Science+Business Media. Archived from the original on 2017-11-07. Retrieved 2017-02-14.
  6. "Data & Knowledge Engineering". 2020 Journal Citation Reports. Web of Science (Science ed.). Thomson Reuters. 2021.

External links


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