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)