Impact Factor & Ranking

3.0 2.25 1.5 0.75 2.429 2014 2015 2016 2017 2018 2.429 2014 2015 2016 2017 2018
  • 1 123
    #21
  • 1 139
    #11
  • 1 104
    #4
  • 1 130
    #70
  • 1 143
    #67
  • 1 105
    #34
  • 1 133
    #94
  • 1 146
    #110
  • 1 106
    #70
  • 1 132
    #81
  • 1 148
    #95
  • 1 104
    #51
  • 1 133
    #63
  • 1 155
    #67
  • 1 107
    #30

About Impact Factor & Ranking

Measure of the number of times an average paper in this journal is cited. Copyright Clarivate Analytics.

Metrics

Year I.F. Computer science, artificial intelligence Computer science, information systems Computer science, software engineering
2018 2.429 63/133 67/155 30/107
2017 81/132 95/148 51/104
2016 94/133 110/146 70/106
2015 70/130 67/143 34/105
2014 21/123 11/139 4/104

Definition

Impact Factor

The Journal Impact Factor is published each year by Clarivate Analytics. It is a measure of the number of times an average paper in a particular journal is cited during the preceding two years.
For example:

A = the number of times articles published in a specific journal in 2014 and 2015 were cited by journals during 2016.
B = the total number of 'citable items' published by that journal in 2014 and 2015. ('Citable items' are usually articles, reviews, proceedings, etc.; not editorials or letters-to-the-editor.)

2016 impact factor = A/B.

Actual value is intentionally only displayed for the most recent year. Earlier values are available in the Journal Citation Reports from Clarivate Analytics

ISI ranking

Journals are often ranked by Impact Factor in an appropriate Clarivate Analytics subject category. As there are now two Impact Factors published – two-year and five-year Impact Factors – this rank may differ, so care is needed when assessing these ranked lists to understand which of the two metrics is being used. In addition, journals can be categorized in multiple subject categories, giving them different ranks for each subject. Consequently, a rank should always be in context to the subject category.