Data & Knowledge Engineering

{{Infobox journal

| title = Data & Knowledge Engineering

| cover = Dataknowledgeengineering.gif

| editor = P.P. Chen

| discipline = Computer science

| publisher = Elsevier

| abbreviation =Data Knowl. Eng.

| country =

| website = https://www.journals.elsevier.com/data-and-knowledge-engineering

| link2 = http://www.sciencedirect.com/science/journal/0169023X

| link2-name = Online archive

| impact = 1.992

| impact-year = 2020

| history = 1985–present

| frequency = Monthly

| ISSN = 0169-023X

| eISSN = 1872-6933

| OCLC = 630595125

| CODEN = DKENEW

| LCCN = 90649274

}}

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,{{cite web |url=http://ip-science.thomsonreuters.com/mjl/ |title=Master Journal List |publisher=Clarivate Analytics |work=Intellectual Property & Science |accessdate=2017-02-14 |archive-date=2017-09-26 |archive-url=https://web.archive.org/web/20170926150543/http://ip-science.thomsonreuters.com/mjl/ |url-status=dead }} Ei Compendex,{{cite web |url=http://www.elsevier.com/online-tools/engineering-village/contentdatabase-overview |title=Content/Database Overview - Compendex Source List |publisher=Elsevier |work=Engineering Village |accessdate=2017-02-14}} Inspec,{{cite web |url=http://www.theiet.org/resources/inspec/support/docs/loj.cfm?type=pdf |title=Inspec list of journals |format=PDF |publisher=Institution of Engineering and Technology |work=Inspec |accessdate=2017-02-14}} Science Citation Index Expanded, Scopus,{{cite web |url=https://www.scopus.com/sourceid/24437 |title=Source details: Data and Knowledge Engineering |publisher=Elsevier |work=Scopus preview |accessdate=2017-02-14}} and Zentralblatt MATH.{{cite web |url=http://www.zentralblatt-math.org/serials/ |title=Serials Database |publisher=Springer Science+Business Media |work=Zentralblatt MATH |accessdate=2017-02-14 |archive-url=https://web.archive.org/web/20171107055348/https://www.zentralblatt-math.org/serials/ |archive-date=2017-11-07 |url-status=dead }} According to the Journal Citation Reports, the journal has a 2020 impact factor of 1.992.{{cite book |year=2021 |chapter=Data & Knowledge Engineering |title=2020 Journal Citation Reports |publisher=Thomson Reuters |edition=Science |series=Web of Science |title-link=Journal Citation Reports }}

References

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