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)