| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 108 | 65 | 117 | 17 |
| Computer Science | 495 | 32 | 50 | 12 |
| Engineering and Technology | 771 | 23 | 47 | 11 |
The concepts of Mathematical optimization, Applied mathematics, Algorithm, Convergence (routing) and Optimization problem are tackled in Computational Optimization and Applications. It features studies on Mathematical optimization, including topics such as Interior point method. The research on Interior point method discussed in Computational Optimization and Applications draws on the closely related field of Linear programming.
The studies on Applied mathematics discussed can also contribute to research in the domains of Mathematical analysis and Optimal control. The Mathematical analysis study tackling the subject of Discretization is the focus of it. Computational Optimization and Applications explores topics in Optimal control which can be helpful for research in disciplines like Pointwise and Finite element method.
The Convergence (routing) works featured in it incorporate elements from Function (mathematics) and Regular polygon.
The journal articles mainly tackle studies in Mathematical optimization, Algorithm, Applied mathematics, Convergence (routing) and Optimization problem. The published articles connects research in Mathematical optimization with the related topics of Nonlinear programming. While the published articles focused on Algorithm, they were also able to explore topics like Quadratic equation and Solver.
The primary areas of discussion in Computational Optimization and Applications are Applied mathematics, Convergence (routing), Mathematical optimization, Optimization problem and Regular polygon. Hessian matrix, Type (model theory), Convex optimization, Rate of convergence and Nonlinear system are some topics wherein Applied mathematics research discussed in Computational Optimization and Applications have an impact. Topics in Convergence (routing) explored in it were investigated in conjunction with research in Quadratic equation, Semidefinite programming, Function (mathematics) and Certificate, Algorithm.
It features works in Mathematical optimization, more specifically Bellman equation, and explores their relation to disciplines like Context (language use). The presented research on Optimization problem deals specifically with Broyden–Fletcher–Goldfarb–Shanno algorithm but it also addresses topics in Second derivative. The featured Regular polygon studies mainly concentrate on Minification but also cover areas of interest in Norm (mathematics).
A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.
The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.
The top authors publishing in Computational Optimization and Applications (based on the number of publications) are:
The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.
Only papers with recognized affiliations are considered
The top affiliations publishing in Computational Optimization and Applications (based on the number of publications) are:
The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.
The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.
The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.
During the most recent 2021 edition, 5.49% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 19.77% were posted by at least one author from the top 10 institutions publishing in the journal. Another 12.79% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 18.60% of all publications and 48.84% were from other institutions.
A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.
The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.
The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.
Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).
The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:
The chart below illustrates experience levels of first authors in cases of publications with multiple authors.
Nicolas Loizou;Peter Richtárik
(2020)Guanghui Lan;Zhiqiang Zhou
(2020)Bingsheng He;Bingsheng He;Feng Ma;Xiaoming Yuan
(2020)Filip Hanzely;Filip Hanzely;Peter Richtarik;Peter Richtarik;Lin Xiao
(2021)Julian Rasch;Antonin Chambolle
(2020)Xuezhong Wang;Maolin Che;Yimin Wei
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