| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Electronics and Electrical Engineering | 135 | 174 | 289 | 25 |
| Mechanical and Aerospace Engineering | 209 | 31 | 47 | 13 |
| Engineering and Technology | 593 | 51 | 74 | 14 |
The aim of the journal is to expand the discussion of research in Control theory, Control theory, Linear system, Robust control and Nonlinear system. The Control theory works featured in Iet Control Theory and Applications incorporate elements from Control engineering and Mathematical optimization. Topics in Control engineering were tackled in line with various other fields like Control system and Control (management).
It facilitates discussions on Control theory that incorporate concepts from other fields like Stability (learning theory), Actuator, Fuzzy logic and Observer (quantum physics). Topics in Linear system explored in Iet Control Theory and Applications were investigated in conjunction with research in Discrete time and continuous time and Stability (probability). The study on Robust control presented is investigated in conjunction with research in Linear matrix inequality.
It features studies on Nonlinear system, including topics such as Nonlinear control. The journal explores research in Multi-agent system and overlapping concepts in Directed graph to expand the discourse in Adaptive control. The studies tackled, which mainly focus on Exponential stability, apply to Stability theory as well.
The published papers explore disciplines such as Control theory, Control engineering, Control theory, Lyapunov function and Adaptive control. The most cited publications concentrate on Control theory topics that focus on Robust control, Nonlinear system, Linear system, Linear matrix inequality and Exponential stability. The journal articles focus on Control theory but the discussions also offer insight into other areas such as Stability (learning theory) and Tracking (particle physics).
Iet Control Theory and Applications tackles a plethora of topics, such as Control theory, Control (management), Nonlinear system, Control (linguistics) and Multi-agent system. Issues in Control theory were discussed, taking into consideration concepts from other disciplines like Tracking (particle physics), Event triggered and Stability (probability). The Tracking (particle physics) study featured in the journal draws connections with the study of Trajectory.
Control (management) study tackled is connected to the field of Fault tolerance. Interdisciplinary research on topics like Control (linguistics) and Artificial neural network are the foci of Iet Control 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 Iet Control 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 Iet Control 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, 1.61% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 17.49% were posted by at least one author from the top 10 institutions publishing in the journal. Another 9.84% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 15.30% of all publications and 57.38% 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.
Xuefei Dong;Shuping He;Vladimir Stojanovic
(2020)Hao Ma;Xiao Zhang;Qinyao Liu;Feng Ding
(2020)Yucheng Shi;Engang Tian;Shibin Shen;Xia Zhao
(2021)Yusuf Kartal;Kamesh Subbarao;Nicholas R. Gans;Atilla Dogan
(2020)Adrian E. Onyeka;Yan Xing-Gang;Zehui Mao;Bin Jiang
(2020)Zhenyi Yuan;Yingxin Tian;Yunfei Yin;Siyi Wang
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