Psychometrika - 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, Psychometrika received the following ratings:
h5-Index | h5-Median |
28 | 42 |
Psychometrika highlights some of these top cited articles:
OpenMx 2.0: Extended Structural Equation and Statistical Modeling (this opens in a new tab)
MC Neale, MD Hunter, JN Pritikin, M Zahery, TR Brick, RM Kirkpatrick, R Estabrook, TC Bates, HH Maes, SM Boker
Psychometrika 81.2 (January 2015)
Generalized Network Psychometrics: Combining Network and Latent Variable Models (this opens in a new tab)
S Epskamp, M Rhemtulla, D Borsboom
Psychometrika 82.4 (March 2017)
A General Method of Empirical Q-matrix Validation (this opens in a new tab)
J de la Torre, CY Chiu
Psychometrika 81.2 (May 2015)
Identification of Confirmatory Factor Analysis Models of Different Levels of Invariance for Ordered Categorical Outcomes (this opens in a new tab)
H Wu, R Estabrook
Psychometrika 81.4 (July 2016)
Identifiability of Diagnostic Classification Models (this opens in a new tab)
G Xu, S Zhang
Psychometrika 81.3 (July 2015)