Data & Knowledge Engineering

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).

Data & Knowledge Engineering

Discipline	Computer science
Language	English
Edited by	P.P. Chen
Publication details
History	1985–present
Publisher	Elsevier
Frequency	Monthly
Impact factor	1.992 (2020)
Standard abbreviations ISO 4 (alt) · Bluebook (alt) NLM (alt) · MathSciNet (alt )
ISO 4	Data Knowl. Eng.
Indexing CODEN (alt · alt2) · JSTOR (alt) · LCCN (alt) MIAR · NLM (alt) · Scopus
CODEN	DKENEW
ISSN	0169-023X (print) 1872-6933 (web)
LCCN	90649274
OCLC no.	630595125
Links
Journal homepage Online archive

Abstracting and indexing

The journal is abstracted and indexed in Current Contents/Engineering, Computing & Technology,^[1] Ei Compendex,^[2] Inspec,^[3] Science Citation Index Expanded,^[1] Scopus,^[4] and Zentralblatt MATH.^[5] According to the Journal Citation Reports, the journal has a 2020 impact factor of 1.992.^[6]

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

• Official website