Engineering:Data & Knowledge Engineering
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|Subject |Discipline}} | Computer science |
---|---|
Language | English |
Edited by | P.P. Chen |
Publication details | |
History | 1985–present |
Publisher | |
Frequency | Monthly |
1.992 (2020) | |
Standard abbreviations | |
ISO 4 | Data Knowl. Eng. |
Indexing | |
CODEN | DKENEW |
ISSN | 0169-023X (print) 1872-6933 (web) |
LCCN | 90649274 |
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,[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
- ↑ 1.0 1.1 "Master Journal List". Intellectual Property & Science. Clarivate Analytics. http://ip-science.thomsonreuters.com/mjl/. Retrieved 2017-02-14.
- ↑ "Content/Database Overview - Compendex Source List". Engineering Village. Elsevier. http://www.elsevier.com/online-tools/engineering-village/contentdatabase-overview. Retrieved 2017-02-14.
- ↑ "Inspec list of journals" (PDF). Inspec. Institution of Engineering and Technology. http://www.theiet.org/resources/inspec/support/docs/loj.cfm?type=pdf. Retrieved 2017-02-14.
- ↑ "Source details: Data and Knowledge Engineering". Scopus preview. Elsevier. https://www.scopus.com/sourceid/24437. Retrieved 2017-02-14.
- ↑ "Serials Database". Zentralblatt MATH. Springer Science+Business Media. http://www.zentralblatt-math.org/serials/. Retrieved 2017-02-14.
- ↑ "Data & Knowledge Engineering". 2020 Journal Citation Reports. Web of Science (Science ed.). Thomson Reuters. 2021.
External links
![]() | Original source: https://en.wikipedia.org/wiki/Data & Knowledge Engineering.
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