| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Electronics and Electrical Engineering | 12 | 451 | 1778 | 81 |
| Mechanical and Aerospace Engineering | 47 | 64 | 228 | 35 |
Control theory, Linear system, Mathematical optimization, Applied mathematics and Nonlinear system are among the topics commonly tackled in IEEE Transactions on Automatic Control. IEEE Transactions on Automatic Control covers various topics on Control theory such as Control system, Control theory, Optimal control, Adaptive control and Exponential stability. The study on Control system presented is investigated in conjunction with research in Control engineering.
Linear-quadratic-Gaussian control is a focus of the presented Optimal control works and it dives deep in Linear-quadratic-Gaussian control. The study of Linear system encompasses disciplines such as Controllability, as well as fields such as Observability, all of which overlap with one another. Aside from discussions in Mathematical optimization, IEEE Transactions on Automatic Control also deals with the subject of Markov process which intersects with Markov chain disciplines.
The Applied mathematics study featured in IEEE Transactions on Automatic Control draws connections with the study of Mathematical analysis. The studies tackled, which mainly focus on Nonlinear system, apply to Stability (learning theory) as well. Lyapunov equation is a primary topic of Lyapunov function research in the journal.
The journal articles generally zeroe in on subjects such as Control theory, Linear system, Mathematical optimization, Nonlinear system and Control system. The studies on Linear system discussed at the published articles can also contribute to research in the domains of Linear matrix inequality, State (functional analysis), Stability (probability), Linear-quadratic-Gaussian control and Applied mathematics. The most cited papers focus on Nonlinear system but the discussions also offer insight into other areas such as Observer (quantum physics) and Bounded function.
Control theory, Applied mathematics, Nonlinear system, Mathematical optimization and Control theory are the subjects of interest in IEEE Transactions on Automatic Control. Discussions in IEEE Transactions on Automatic Control are anchored in the subject of Control theory and the similar topic of Stability (probability). The research on Applied mathematics featured in IEEE Transactions on Automatic Control combines topics in other fields like Function (mathematics), Stochastic process, Discrete time and continuous time and Optimal control.
Some problems in Nonlinear system that were presented in IEEE Transactions on Automatic Control overlapped with concepts under Stability (learning theory) and Robustness (computer science). The journal explores research in Mathematical optimization alongside concepts in Convergence (routing) and other areas of study in Distributed algorithm. The journal facilitates discussions on Control theory that incorporate concepts from other fields like Control system and State (computer science).
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 IEEE Transactions on Automatic Control (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 IEEE Transactions on Automatic Control (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, 18.65% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 15.04% were posted by at least one author from the top 10 institutions publishing in the journal. Another 8.40% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 20.43% of all publications and 56.14% 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.
Claudio De Persis;Pietro Tesi
(2020)Julian Berberich;Johannes Kohler;Matthias A. Muller;Frank Allgower
(2021)Chen Peng;Hongtao Sun
(2020)Derui Ding;Zidong Wang;Qing-Long Han
(2020)Xiaodi Li;Dongxue Peng;Jinde Cao
(2020)Xianwei Li;Zhiyong Sun;Yang Tang;Hamid Reza Karimi
(2021)Yanzheng Zhu;Wei Xing Zheng
(2020)Unknown
(2023)Zhiru Cao;Yugang Niu;Jun Song
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