| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Electronics and Electrical Engineering | 57 | 306 | 492 | 45 |
| Mechanical and Aerospace Engineering | 67 | 86 | 180 | 29 |
| Engineering and Technology | 253 | 108 | 175 | 27 |
Control theory, Control engineering, Control theory, Control system and Nonlinear system are the subjects of interest in IEEE Transactions on Control Systems and Technology. IEEE Transactions on Control Systems and Technology focused on Control theory research but expanded to cover Model predictive control. The studies on Control engineering discussed can also contribute to research in the domains of System identification, Vehicle dynamics, Optimal control and Motion control.
Research in Optimal control tackled falls within the umbrella of Mathematical optimization. The research on Control theory featured in it combines topics in other fields like Lyapunov function, Torque, Trajectory and Feed forward.
The journal publications are organized to reinforce research efforts on Control theory, Control engineering, Control theory, Control system and Adaptive control. The Control theory research presented in the most cited articles focuses mostly on Motion control and, on occasion, topics in Feed forward. While Control engineering is the focus of the journal articles, it also provides insights into the studies of Lyapunov function, Vehicle dynamics, Actuator and Model predictive control.
The foci of the journal are Control theory, Control theory, Model predictive control, Robustness (computer science) and Nonlinear system. Control theory study tackled is connected to the field of Convergence (routing). In addition to Control theory research, the journal aims to explore topics under Lyapunov function, Vehicle dynamics and Actuator.
The journal focuses on Model predictive control but the discussions also offer insight into other areas such as Optimization problem, Mathematical optimization and Optimal control. The work tackled in it goes beyond the discipline of Stability (learning theory) as it also encompasses Bounded function. IEEE Transactions on Control Systems and Technology connects research in Trajectory with the related topic of Tracking (particle physics).
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 Control Systems and Technology (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 Control Systems and Technology (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, 8.52% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 18.32% were posted by at least one author from the top 10 institutions publishing in the journal. Another 14.11% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 19.22% of all publications and 48.35% 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.
Xiaojing Zhang;Alexander Liniger;Francesco Borrelli
(2021)Zhi Feng;Guoqiang Hu
(2020)Xiaodong Shao;Qinglei Hu;Yang Shi;Boyan Jiang
(2020)Xing-Chen Shangguan;Yong He;Chuan-Ke Zhang;Li Jin
(2021)Mohammad Reza Amini;Hao Wang;Xun Gong;Dominic Liao-McPherson
(2020)Alexander Liniger;John Lygeros
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