Data and Knowledge Engineering
Impact Factor & Key Scientometrics

Data and Knowledge Engineering
Overview

Impact Factor

1.992

H Index

89

Impact Factor

1.942

I. Basic Journal Info

Country

Netherlands
Journal ISSN: 0169023X
Publisher: Elsevier BV
History: 1985, 1987-ongoing
Journal Hompage: Link
How to Get Published:

Research Categories

Data and Knowledge Engineering
Impact Factor by Web of Science

Index

SCIE/SSCI

Impact Factor

1.992

by WOS

Ranking

7816

by WOS

Data and Knowledge Engineering
SJR, SJR Impact Factor and H Index

H Index

89

SJR

0.48

Scopus Impact Factor

1.942

Data and Knowledge Engineering
SJR Impact Factor 2-year, 3-year, 4-year

2-year
Impact Factor

1.942

3-year
Impact Factor

2.263

4-year
Impact Factor

1.942

Scope/Description:

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.

II. Science Citation Report (SCR)



Data and Knowledge Engineering
SCR Impact Factor

Data and Knowledge Engineering
SCR Journal Ranking

Data and Knowledge Engineering
SCImago SJR Rank

SCImago Journal Rank (SJR indicator) is a measure of scientific influence of scholarly journals that accounts for both the number of citations received by a journal and the importance or prestige of the journals where such citations come from.

0.48

Data and Knowledge Engineering
Scopus 2-Year Impact Factor Trend

Note: impact factor data for reference only

Data and Knowledge Engineering
Scopus 3-Year Impact Factor Trend

Note: impact factor data for reference only

Data and Knowledge Engineering
Scopus 4-Year Impact Factor Trend

Note: impact factor data for reference only

Data and Knowledge Engineering
Impact Factor History

2-year 3-year 4-year
  • 2021 Impact Factor
    1.942 2.263 2.547
  • 2020 Impact Factor
    2.398 2.71 2.599
  • 2019 Impact Factor
    2.689 2.783 2.661
  • 2018 Impact Factor
    2.609 2.415 2.414
  • 2017 Impact Factor
    1.892 2.074 2.232
  • 2016 Impact Factor
    2.145 2.517 2.687
  • 2015 Impact Factor
    2.336 2.608 2.772
  • 2014 Impact Factor
    2.143 NA NA
  • 2013 Impact Factor
    2.97 NA NA
  • 2012 Impact Factor
    3.102 NA NA
  • 2011 Impact Factor
    3.391 NA NA
  • 2010 Impact Factor
    3.487 NA NA
  • 2009 Impact Factor
    2.948 NA NA
  • 2008 Impact Factor
    2.644 NA NA
  • 2007 Impact Factor
    2.351 NA NA
  • 2006 Impact Factor
    2.661 NA NA
  • 2005 Impact Factor
    2.296 NA NA
  • 2004 Impact Factor
    1.586 NA NA
  • 2003 Impact Factor
    1.652 NA NA
  • 2002 Impact Factor
    1.318 NA NA
  • 2001 Impact Factor
    0.933 NA NA
  • 2000 Impact Factor
    0.98 NA NA
Note: impact factor data for reference only

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Impact Factor

Impact factor (IF) is a scientometric factor based on the yearly average number of citations on articles published by a particular journal in the last two years. A journal impact factor is frequently used as a proxy for the relative importance of a journal within its field. Find out more: What is a good impact factor?


III. Other Science Influence Indicators

Any impact factor or scientometric indicator alone will not give you the full picture of a science journal. There are also other factors such as H-Index, Self-Citation Ratio, SJR, SNIP, etc. Researchers may also consider the practical aspect of a journal such as publication fees, acceptance rate, review speed. (Learn More)

Data and Knowledge Engineering
H-Index

The h-index is an author-level metric that attempts to measure both the productivity and citation impact of the publications of a scientist or scholar. The index is based on the set of the scientist's most cited papers and the number of citations that they have received in other publications

89

Data and Knowledge Engineering
H-Index History