Computational Optimization and Applications - 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 2021, Computational Optimization and Applications received the following ratings:

h5-Index	h5-Median
31	50

Computational Optimization and Applications highlights some of these top cited articles: 

• Modified hybrid projection methods for finding common solutions to variational inequality problems (this opens in a new tab)
  D Van Hieu, PK Anh
  Computational Optimization and Applications 66.1 (June 2016)
   

• Momentum and stochastic momentum for stochastic gradient, Newton, proximal point and subspace descent methods (this opens in a new tab)
  N Loizou, P Richtárik
  Computational Optimization and Applications 77.3 (September 2020)
   

• Formulating an n-person noncooperative game as a tensor complementarity problem (this opens in a new tab)
  ZH Huang, L Qi
  Computational Optimization and Applications 66.3 (September 2016)
   

• Forward–backward quasi-Newton methods for nonsmooth optimization problems (this opens in a new tab)
  L Stella, A Themelis, P Patrinos
  Computational Optimization and Applications 67.3 (April 2017)
   

• Structured nonconvex and nonsmooth optimization: algorithms and iteration complexity analysis (this opens in a new tab)
  B Jiang, T Lin, S Ma, S Zhang
  Computational Optimization and Applications 72.1 (September 2018)