IEEE Transactions on Knowledge and Data Engineering
Impact Factor & Key Scientometrics

IEEE Transactions on Knowledge and Data Engineering
Overview

Impact Factor

6.977

H Index

183

Impact Factor

6.093

I. Basic Journal Info

Country

United States
Journal ISSN: 10414347
Publisher: Institute of Electrical and Electronics Engineers
History: 1989-ongoing
Journal Hompage: Link
How to Get Published:

Research Categories

IEEE Transactions on Knowledge and Data Engineering
Impact Factor by Web of Science

Index

SCIE/SSCI

Impact Factor

6.977

by WOS

Ranking

968

by WOS

IEEE Transactions on Knowledge and Data Engineering
SJR, SJR Impact Factor and H Index

H Index

183

SJR

1.36

Scopus Impact Factor

6.093

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

2-year
Impact Factor

6.093

3-year
Impact Factor

7.029

4-year
Impact Factor

6.093

Scope/Description:

The IEEE Transactions on Knowledge and Data Engineering is an archival journal published monthly. The information published in this Transactions is designed to inform researchers, developers, managers, strategic planners, users, and others interested in state-of-the-art and state-of-the-practice activities in the knowledge and data engineering area. We are interested in well-defined theoretical results and empirical studies that have potential impact on the acquisition, management, storage, and graceful degeneration of knowledge and data, as well as in provision of knowledge and data services.

II. Science Citation Report (SCR)



IEEE Transactions on Knowledge and Data Engineering
SCR Impact Factor

IEEE Transactions on Knowledge and Data Engineering
SCR Journal Ranking

IEEE Transactions on Knowledge and Data 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.

1.36

IEEE Transactions on Knowledge and Data Engineering
Scopus 2-Year Impact Factor Trend

Note: impact factor data for reference only

IEEE Transactions on Knowledge and Data Engineering
Scopus 3-Year Impact Factor Trend

Note: impact factor data for reference only

IEEE Transactions on Knowledge and Data Engineering
Scopus 4-Year Impact Factor Trend

Note: impact factor data for reference only

IEEE Transactions on Knowledge and Data Engineering
Impact Factor History

2-year 3-year 4-year
  • 2021 Impact Factor
    6.093 7.029 7.528
  • 2020 Impact Factor
    7.777 8.208 8.191
  • 2019 Impact Factor
    7.059 7.536 7.265
  • 2018 Impact Factor
    5.984 6.163 7.033
  • 2017 Impact Factor
    4.814 5.934 6.164
  • 2016 Impact Factor
    5.68 6.048 6.127
  • 2015 Impact Factor
    5.272 5.455 5.735
  • 2014 Impact Factor
    4.529 NA NA
  • 2013 Impact Factor
    4.646 NA NA
  • 2012 Impact Factor
    4.781 NA NA
  • 2011 Impact Factor
    4.383 NA NA
  • 2010 Impact Factor
    4.023 NA NA
  • 2009 Impact Factor
    4.373 NA NA
  • 2008 Impact Factor
    4.432 NA NA
  • 2007 Impact Factor
    4.221 NA NA
  • 2006 Impact Factor
    4.954 NA NA
  • 2005 Impact Factor
    4.02 NA NA
  • 2004 Impact Factor
    2.405 NA NA
  • 2003 Impact Factor
    1.892 NA NA
  • 2002 Impact Factor
    2.203 NA NA
  • 2001 Impact Factor
    2.508 NA NA
  • 2000 Impact Factor
    1.898 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)

IEEE Transactions on Knowledge and Data 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

183

IEEE Transactions on Knowledge and Data Engineering
H-Index History