Journal of Classification - h5 Index Rating
The h5-index is a product of Google Scholar and shows a journal’s h-Index based on the journal’s articles published in the last 5 calendar years (with an overall minimum of 100 articles published during these years). The variable h is defined as the largest number of articles that have each been cited h times. The h5-Index therefore cannot be dominated by one or a few highly cited articles.
In 2020, Journal of Classification received the following ratings:
h5-Index | h5-Median |
16 | 27 |
Journal of Classification highlights some of these top cited articles:
Model-Based Clustering
PD McNicholas
Journal of Classification 33.3 (November 2016)
A Survey on Feature Weighting Based K-Means Algorithms
RC de Amorim
Journal of Classification 33.2 (August 2016)
Power and Sample Size Computation for Wald Tests in Latent Class Models
DW Gudicha, FB Tekle, JK Vermunt
Journal of Classification 33.1 (May 2016)
A New Chaotic Whale Optimization Algorithm for Features Selection
GI Sayed, A Darwish, AE Hassanien
Journal of Classification 35.2 (August 2018)
Robust Clustering in Regression Analysis via the Contaminated Gaussian Cluster-Weighted Model
A Punzo, PD McNicholas
Journal of Classification 34.2 (June 2017)