International Journal of Data Mining, Modelling and Management
Impact Factor & Key Scientometrics

International Journal of Data Mining, Modelling and Management
Overview

Impact Factor

NA

H Index

16

Impact Factor

0.474

I. Basic Journal Info

Country

Switzerland
Journal ISSN: 17591163, 17591171
Publisher: Inderscience Publishers
History: 2008-2021
Journal Hompage: Link
How to Get Published:
Find out more

Research Categories

Scope/Description:

Facilitating transformation from data to information to knowledge is paramount for organisations. Companies are flooded with data and conflicting information but with limited real usable knowledge. However rarely should a process be looked at from limited angles or in parts. Isolated islands of data mining modelling and management DMMM should be connected. IJDMMM highlightes integration of DMMM statisticsmachine learningdatabases each element of data chain management types of information algorithms in software from data preprocessing to postprocessing between theory and applications.Topics covered includeArtificial intelligenceBiomedical scienceBusiness analyticsintelligence process modellingComputer science database management systemsData management mining modelling warehousingEngineeringEnvironmental science environment ecoinformaticsInformation systemstechnology telecommunicationsnetworkingManagement science operations research mathematicsstatisticsSocial sciencesBusinesseconomics computational financeHealthcare medicine pharmaceuticals Computational chemistry biology bioinformaticsSustainable mobility systems intelligent transportation systemsNational security

II. Science Citation Report (SCR)



International Journal of Data Mining, Modelling and Management
SCR Impact Factor

International Journal of Data Mining, Modelling and Management
SCR Journal Ranking

International Journal of Data Mining, Modelling and Management
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.

International Journal of Data Mining, Modelling and Management
Scopus 2-Year Impact Factor Trend

Note: impact factor data for reference only

International Journal of Data Mining, Modelling and Management
Scopus 3-Year Impact Factor Trend

Note: impact factor data for reference only

International Journal of Data Mining, Modelling and Management
Scopus 4-Year Impact Factor Trend

Note: impact factor data for reference only

International Journal of Data Mining, Modelling and Management
Impact Factor History

2-year 3-year 4-year
  • 2023 Impact Factor
    0.6 0.695 0.718
  • 2022 Impact Factor
    0.615 0.517 0.541
  • 2021 Impact Factor
    0.474 0.556 0.644
  • 2020 Impact Factor
    0.514 0.556 0.645
  • 2019 Impact Factor
    0.571 1.018 0.986
  • 2018 Impact Factor
    0.805 0.914 0.788
  • 2017 Impact Factor
    0.41 0.485 0.506
  • 2016 Impact Factor
    0.318 0.475 0.549
  • 2015 Impact Factor
    0.318 0.415 0.56
  • 2014 Impact Factor
    0.553 NA NA
  • 2013 Impact Factor
    0.4 NA NA
  • 2012 Impact Factor
    0.487 NA NA
  • 2011 Impact Factor
    0.588 NA NA
  • 2010 Impact Factor
    1.25 NA NA
  • 2009 Impact Factor
    0.833 NA NA
  • 2008 Impact Factor
    0 NA NA
  • 2007 Impact Factor
    NA NA NA
  • 2006 Impact Factor
    NA NA NA
  • 2005 Impact Factor
    NA NA NA
  • 2004 Impact Factor
    NA NA NA
  • 2003 Impact Factor
    NA NA NA
  • 2002 Impact Factor
    NA NA NA
  • 2001 Impact Factor
    NA NA NA
  • 2000 Impact Factor
    NA 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)

International Journal of Data Mining, Modelling and Management
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

16

International Journal of Data Mining, Modelling and Management
H-Index History

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