Impact Factor & Ranking

3.6 2.7 1.8 0.9 3.523 2016 2017 2018 2019 2020 3.523 2016 2017 2018 2019 2020
  • 1 133
    #90
  • 1 258
    #231
  • 1 84
    #70
  • 1 132
    #77
  • 1 261
    #233
  • 1 85
    #64
  • 1 133
    #95
  • 1 267
    #237
  • 1 88
    #67
  • 1 136
    #75
  • 1 271
    #216
  • 1 87
    #46
  • 1 139
    #51
  • 1 273
    #145
  • 1 90
    #20

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 Neurosciences Psychology, experimental
2020 3.523 51/139 145/273 20/90
2019 75/136 216/271 46/87
2018 95/133 237/267 67/88
2017 77/132 233/261 64/85
2016 90/133 231/258 70/84

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.