Impact Factor & Ranking

3.2 2.4 1.6 0.8 3.103 2015 2016 2017 2018 2019 3.103 2015 2016 2017 2018 2019
  • 1 130
    #47
  • 1 105
    #13
  • 1 105
    #20
  • 1 256
    #89
  • 1 90
    #40
  • 1 133
    #37
  • 1 106
    #17
  • 1 104
    #19
  • 1 260
    #75
  • 1 92
    #26
  • 1 132
    #52
  • 1 104
    #20
  • 1 103
    #25
  • 1 260
    #110
  • 1 94
    #38
  • 1 133
    #55
  • 1 107
    #23
  • 1 104
    #23
  • 1 265
    #107
  • 1 95
    #32
  • 1 136
    #48
  • 1 108
    #21
  • 1 108
    #23
  • 1 266
    #87
  • 1 97
    #23

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, software engineering Computer science, theory & methods Engineering, electrical & electronic Optics
2019 3.103 48/136 21/108 23/108 87/266 23/97
2018 55/133 23/107 23/104 107/265 32/95
2017 52/132 20/104 25/103 110/260 38/94
2016 37/133 17/106 19/104 75/260 26/92
2015 47/130 13/105 20/105 89/256 40/90

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.