Data Science Journal
Impact Factor & Key Scientometrics

Data Science Journal
Overview

Impact Factor

NA

H Index

23

Impact Factor

2

I. Basic Journal Info

Country

France
Journal ISSN: 16831470
Publisher: Ubiquity Press
History: 2003, 2006-2021
Journal Hompage: Link
How to Get Published:

Research Categories

Data Science Journal
Impact Factor by Web of Science

Index

SCIE/SSCI

Impact Factor

NA

by WOS

Ranking

NA

by WOS

Data Science Journal
SJR, SJR Impact Factor and H Index

H Index

23

SJR

Scopus Impact Factor

2

Data Science Journal
SJR Impact Factor 2-year, 3-year, 4-year

2-year
Impact Factor

2

3-year
Impact Factor

1.748

4-year
Impact Factor

2

Scope/Description:

The Data Science Journal DSJ was founded in 2002 to help build knowledge and understanding of how data practices can advance research and human knowledge.Recent decades have seen an unprecedented explosion in the human capacity to acquire store and manipulate data and information. We are experiencing an historic revolution in knowledge creation communication and utilisation. DSJ explores what that means for the conduct of research and data management. We regard data science as the science of datathe evidencebased study of the sociotechnical developments and transformations that affect science policy the conduct and methods of research and the data systems standards and infrastructure that are integral to research. A central goal of DSJ is to ensure that data are used in the most effective efficient and ethical way in promoting knowledge and learning. It is a peerreviewed openaccess electronic journal that is relevant to all sciences as well as the empirical humanities. The scope of the journal includes descriptions of data systems their implementations applications infrastructures software legal reproducibility and transparency issues the availability and usability of complex datasets and with a particular focus on the principles policies and practices for data preservation and reuse.

II. Science Citation Report (SCR)



Data Science Journal
SCR Impact Factor

Data Science Journal
SCR Journal Ranking

Data Science Journal
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.

Data Science Journal
Scopus 2-Year Impact Factor Trend

Note: impact factor data for reference only

Data Science Journal
Scopus 3-Year Impact Factor Trend

Note: impact factor data for reference only

Data Science Journal
Scopus 4-Year Impact Factor Trend

Note: impact factor data for reference only

Data Science Journal
Impact Factor History

2-year 3-year 4-year
  • 2021 Impact Factor
    2 1.748 1.825
  • 2020 Impact Factor
    1.13 1.273 1.264
  • 2019 Impact Factor
    1.133 1.343 1.902
  • 2018 Impact Factor
    0.925 1.341 1.22
  • 2017 Impact Factor
    1.825 1.361 1.211
  • 2016 Impact Factor
    0.982 0.939 0.886
  • 2015 Impact Factor
    0.598 0.576 0.481
  • 2014 Impact Factor
    0.495 NA NA
  • 2013 Impact Factor
    0.204 NA NA
  • 2012 Impact Factor
    0.205 NA NA
  • 2011 Impact Factor
    0.417 NA NA
  • 2010 Impact Factor
    0.492 NA NA
  • 2009 Impact Factor
    0.265 NA NA
  • 2008 Impact Factor
    0.28 NA NA
  • 2007 Impact Factor
    0.455 NA NA
  • 2006 Impact Factor
    0 NA NA
  • 2005 Impact Factor
    NA NA NA
  • 2004 Impact Factor
    NA NA NA
  • 2003 Impact Factor
    0 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)

Data Science Journal
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

23

Data Science Journal
H-Index History