SCI Journal

Impact Factor Database

International Journal of Data Warehousing and Mining

Basic Journal Info

Country

United States
Journal ISSN: 15483924, 15483932
Publisher: Idea Group Publishing
History: 2007-ongoing
Journal Hompage: Link
Note:
You can find more information about getting published on this journal here: https://www.igi-global.com/submission/submit-manuscript/?jid=1085

Research Categories

International Journal of Data Warehousing and Mining

2-year
Impact Factor

0.469

3-year
Impact Factor

0.574

4-year
Impact Factor

0.609

Scope/Description:

The International Journal of Data Warehousing and Mining (IJDWM) aims to publish and deliver knowledge in the areas of data warehousing and data mining on an international basis. This journal is published on a quarterly basis and is targeted at both academic researchers and practicing IT professionals as it is devoted to the publications of high-quality papers on theoretical developments and practical applications in data warehousing and data mining. Original research papers, state-of-the-art reviews, and technical notes are invited for publication. The journal accepts paper submission of any work relevant to data warehousing and data mining with special attention to papers focusing on mining of data from data warehouses, integration of databases, data warehousing, data mining, and holistic approaches to mining and archiving data.

International Journal of Data Warehousing and Mining

2-year Impact Factor Trend
Note: impact factor data for reference only

International Journal of Data Warehousing and Mining

3-year Impact Factor Trend
Note: impact factor data for reference only

International Journal of Data Warehousing and Mining

4-year Impact Factor Trend
Note: impact factor data for reference only

Impact Factor

The impact factor (IF) or journal impact factor (JIF) of an academic journal is a scientometric factor based on the yearly average number of citations on articles published by a particular journal in the last two years. In other words, the impact factor of 2020 is the average of the number of cited publications divided by the citable publications of a journal. A journal impact factor is frequently used as a proxy for the relative importance of a journal within its field. Normally, journals with higher impact factors are often deemed to have more influence than those with lower ones. However, the science community has also noted that review articles typically are more citable than research articles.

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International Journal of Data Warehousing and Mining

Impact Factor History
  • 2019 Impact Factor 0.469
  • 2018 Impact Factor 1.194
  • 2017 Impact Factor 1.438
  • 2016 Impact Factor 1.303
  • 2015 Impact Factor 1.375
  • 2014 Impact Factor 2.586
  • 2013 Impact Factor 1.857
  • 2012 Impact Factor 2.032
  • 2011 Impact Factor 1.667
  • 2010 Impact Factor 1.757
  • 2009 Impact Factor 1.727
  • 2008 Impact Factor 1.583
  • 2007 Impact Factor 1.867
  • 2006 Impact Factor 3.600
  • 2005 Impact Factor 0.000
  • 2004 Impact Factor NA
  • 2003 Impact Factor NA
  • 2002 Impact Factor NA
  • 2001 Impact Factor NA
  • 2000 Impact Factor NA
Note: impact factor data for reference only

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Other Journal Impact Indicator

Any journal impact factor or scientometric indicator alone will not give you the full picture of a science journal. That’s why every year, scholars review current metrics to improve upon them and sometimes come up with new ones. There are also other factors to sider for example, H-Index, Self-Citation Ratio, SJR (SCImago Journal Rank Indicator) and SNIP (Source Normalized Impact per Paper). Researchers may also consider the practical aspect of a journal such as publication fees, acceptance rate, review speed.

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International Journal of Data Warehousing and Mining

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

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International Journal of Data Warehousing and Mining

SCImago Journal Rank (SJR)

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.

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