| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 70 | 100 | 169 | 20 |
| Engineering and Technology | 605 | 40 | 68 | 14 |
The journal primarily tackles Theory of computation, Mathematical optimization, Mathematical analysis, Applied mathematics and Optimal control. The Theory of computation study featured falls within the wider field of Algorithm. The Mathematical optimization works featured in it incorporate elements from Function (mathematics), Nonlinear programming and Convex optimization.
Convex optimization research presented is mostly focused on the subject of Convex analysis. The main emphasis of Journal of Optimization Theory and Applications is the research on Convex analysis, emphasizing the topic of Proper convex function. It investigates Mathematical analysis research which frequently intersects with Pure mathematics.
The Applied mathematics study tackling the subject of Variational inequality is the focus of the journal. The main emphasis of it is the subject of Optimal control, focusing on Maximum principle. The majority of Control theory studies presented zero in on Linear system.
The published articles facilitate discussions on Theory of computation, Mathematical optimization, Mathematical analysis, Applied mathematics and Variational inequality. The most cited articles are concerned with the study of Theory of computation and Algorithm in general. Issues in Mathematical optimization were discussed in the journal publications, taking into consideration concepts from other disciplines like Convergence (routing), Nonlinear programming and Convex optimization.
The journal primarily focuses on research topics in Theory of computation, Applied mathematics, Mathematical optimization, Convergence (routing) and Optimization problem. Journal of Optimization Theory and Applications explores research in Theory of computation alongside concepts in Variational inequality and other areas of study in Monotone polygon. In the journal, Regularization (mathematics), Constraint (information theory), Function (mathematics), Rate of convergence and Lipschitz continuity are investigated in conjunction with one another to address concerns in Applied mathematics research.
The studies in Rate of convergence featured incorporate elements of Iterated function, Sequence and Sublinear function. The Mathematical optimization study featured in it draws parallels with the field of Class (set theory). Concepts in Convex optimization, as well as related topics in Bounded function, are covered in the Convergence (routing) research presented in Journal of Optimization Theory and Applications.
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 Journal of Optimization Theory 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 Journal of Optimization Theory 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, 9.36% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 9.03% were posted by at least one author from the top 10 institutions publishing in the journal. Another 11.61% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 9.03% of all publications and 70.32% 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.
Hedy Attouch;Zaki Chbani;Jalal M. Fadili;Hassan Riahi
(2021)Yurii E. Nesterov
(2021)Thibaut Rodriguez;Thibaut Rodriguez;Marco Montemurro;Paul Le Texier;Jérôme Pailhès
(2020)Liqun Qi;Ziyan Luo;Qing-Wen Wang;Xinzhen Zhang
(2021)Yekini Shehu;Aviv Gibali;Simone Sagratella
(2020)Soodabeh Asadi;Soodabeh Asadi;Zsolt Darvay;Goran Lesaja;Goran Lesaja;Nezam Mahdavi-Amiri
(2020)Xiaopeng Zhao;Markus A. Köbis;Yonghong Yao;Jen-Chih Yao;Jen-Chih Yao
(2021)Anita Catapano;Marco Montemurro
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