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Data & Knowledge Engineering

Journal Abbreviation: DATA KNOWL ENG
Journal ISSN: 0169-023X

About Data & Knowledge Engineering

    Database Systems and Knowledgebase Systems share many common principles. Data & Knowledge Engineering (DKE) stimulates the exchange of ideas and interaction between these two related fields of interest. DKE reaches a world-wide audience of researchers, designers, managers and users. The major aim of the journal is to identify, investigate and analyze the underlying principles in the design and effective use of these systems. DKE achieves this aim by publishing original research results, technical advances and news items concerning data engineering, knowledge engineering, and the interface of these two fields.
Year Impact Factor (IF) Total Articles Total Cites
2024 (2025 update) 2.6 - 1736
2023 2.7 - -
2022 2.5 - 1666
2021 1.500 - 1713
2020 1.992 36 1742
2019 1.476 46 1602
2018 1.583 72 1606
2017 1.467 31 1520
2016 1.694 29 1741
2015 1.500 31 1369
2014 1.115 5 1276
2013 1.489 63 1226
2012 1.519 41 1279
2011 1.422 47 1112

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