0363-0129
Published by: Society for Industrial and Applied Mathematics
https://www.siam.org/publications/journals/siam-journal-on-control-and-optimization-sicon
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 58 | 89 | 142 | 21 |
| Electronics and Electrical Engineering | 185 | 73 | 107 | 19 |
| Engineering and Technology | 515 | 43 | 69 | 16 |
The scientific interests tackled in Siam Journal on Control and Optimization are Mathematical analysis, Optimal control, Applied mathematics, Mathematical optimization and Control theory. Issues in Mathematical analysis were discussed, taking into consideration concepts from other disciplines like Boundary (topology), Controllability and Pure mathematics. Siam Journal on Control and Optimization connects research in Controllability with the related topic of Observability.
The Optimal control works featured in Siam Journal on Control and Optimization incorporate elements from State (functional analysis), Riccati equation and Bellman equation. Most of the works presented in the journal deals with Riccati equation but it intersects with the subject of Linear-quadratic regulator. Bellman equation study tackled is connected to the field of Viscosity solution.
It explores topics in Mathematical optimization which can be helpful for research in disciplines like Convergence (routing) and Markov chain. Presentations on Control theory include those discussing Nonlinear system, Linear system, Lyapunov function, Control system and Control theory. The main emphasis of it is the research on Nonlinear system, emphasizing the topic of Nonlinear control.
The published articles primarily focus on research topics in Mathematical analysis, Mathematical optimization, Control theory, Optimal control and Applied mathematics. In addition to Mathematical analysis research, the journal articles aim to explore topics under Boundary (topology) and Controllability. While work presented in the journal articles provide substantial information on Mathematical optimization, it also covers topics in Convergence (routing) and Markov chain.
Applied mathematics, Optimal control, Control theory, Mathematical analysis and Mathematical optimization are the subjects of interest in the journal. The tackled Applied mathematics research is interrelated with Nonlinear system which concerns subjects like State (functional analysis). It connects the study in Optimal control with the closely related area of Finite element method.
Some problems in Control theory that were presented in Siam Journal on Control and Optimization overlapped with concepts under State (computer science) and Stability (probability). While work presented in Siam Journal on Control and Optimization provided substantial information on Mathematical analysis, it also covered topics in Work (thermodynamics), Boundary (topology) and Controllability. The studies tackled, which mainly focus on Mathematical optimization, apply to Process (computing) as well.
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 Siam Journal on Control and Optimization (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 Siam Journal on Control and Optimization (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, 82.91% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 3.70% were posted by at least one author from the top 10 institutions publishing in the journal. Another 7.41% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 33.33% of all publications and 55.56% 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.
Unknown
(2023)Kaiqing Zhang;Alec Koppel;Hao Zhu;Tamer Başar
(2020)Shengda Zeng;Stanisław Migórski;Akhtar A. Khan
(2021)Bangxin Jiang;Jianquan Lu;Yang Liu
(2020)Birgit Jacob;Andrii Mironchenko;Jonathan R. Partington;Fabian Wirth
(2020)Pursuing a Computer Science degree online offers flexibility and access to a variety of programs tailored to different needs and budgets. Many students are drawn to the field because it ranks among the most profitable majors, promising strong career prospects and high earning potential after graduation.
For those mindful of costs, selecting from the online universities can significantly reduce financial burdens without sacrificing quality education. Additionally, some institutions offer programs listed among the best accredited online colleges with no application fee, easing the application process and making higher education more accessible.
Time is another important factor for many learners. Fast-track options featured in the fast track college programs allow motivated students to complete their degrees quicker and enter the workforce sooner, which can be a decisive advantage in this fast-evolving field.
By carefully considering affordability, program duration, and career outcomes, prospective students can choose the right pathway to launch or advance their careers in Computer Science.