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 (this opens in a new tab)
PD McNicholas
Journal of Classification 33.3 (November 2016)
A Survey on Feature Weighting Based K-Means Algorithms (this opens in a new tab)
RC de Amorim
Journal of Classification 33.2 (August 2016)
Power and Sample Size Computation for Wald Tests in Latent Class Models (this opens in a new tab)
DW Gudicha, FB Tekle, JK Vermunt
Journal of Classification 33.1 (May 2016)
A New Chaotic Whale Optimization Algorithm for Features Selection (this opens in a new tab)
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 (this opens in a new tab)
A Punzo, PD McNicholas
Journal of Classification 34.2 (June 2017)