| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Electronics and Electrical Engineering | 173 | 124 | 254 | 20 |
| Mechanical and Aerospace Engineering | 262 | 23 | 46 | 10 |
| Engineering and Technology | 642 | 43 | 68 | 13 |
International Journal of Control Automation and Systems mostly deals with topics like Control theory, Artificial intelligence, Robotics, Mechatronics and Control theory. International Journal of Control Automation and Systems focuses on Control theory as well as the interrelated topic of Control engineering. The research on Control engineering discussed in the journal draws on the closely related field of Automation.
In it, Simulation, Trajectory and Computer vision are investigated in conjunction with one another to address concerns in Artificial intelligence research. The research on Robotics featured in the journal combines topics in other fields like Artificial neural network, Tracking (particle physics), Stability (probability), Position (vector) and Algorithm. The concepts on Mechatronics presented in the journal can also apply to other research fields, including Stability (learning theory), Linear matrix inequality, Mathematical optimization, Control (management) and Multi-agent system.
Control theory research featured in the journal incorporates concerns from various other topics such as Observer (quantum physics), Actuator and Fuzzy logic. Fuzzy logic research presented is mostly focused on the subject of Fuzzy control system. The Nonlinear system study featured in it draws connections with the study of Bounded function.
The published articles aim to foster the development of research in Control theory, Artificial intelligence, Mechatronics, Robotics and Control engineering. The most cited articles address concerns in Mechatronics which are intertwined with other disciplines, such as State (computer science), Stability (probability), Control (management), Multi-agent system and Mathematical optimization. While the journal publications focused on Control engineering, they were also able to explore topics like Automation, Stability (learning theory) and Actuator.
The journal is organized to address concerns in the fields of Control theory, Artificial intelligence, Robotics, Mechatronics and Control theory. The journal explores research in Control theory and the adjacent study of Artificial neural network. The work on Artificial intelligence tackled in it brings together disciplines like Process (computing) and Computer vision.
The study of Robotics encompasses disciplines such as Robustness (computer science), as well as fields such as Exponential stability, all of which overlap with one another. The studies on Mechatronics discussed can also contribute to research in the domains of Linear system, Stability (learning theory), State (functional analysis), State (computer science) and Multi-agent system. The journal holds forums on Control theory that merges themes from other disciplines such as Control system and Convergence (routing).
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 International Journal of Control Automation and Systems (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 International Journal of Control Automation and Systems (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, 7.81% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 13.68% were posted by at least one author from the top 10 institutions publishing in the journal. Another 11.07% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 17.92% of all publications and 57.33% 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.
Karam Eliker;Weidong Zhang
(2020)Ali Soltani Sharif Abadi;Pooyan Alinaghi Hosseinabadi;Saad Mekhilef;Saad Mekhilef;Saad Mekhilef
(2020)Lili Hao;Xisheng Zhan;Jie Wu;Tao Han
(2021)Ting Cui;Feng Ding;Feng Ding;Xue-Bo Jin;Ahmed Alsaedi
(2020)Yujing Jin;Wenhai Qi;Guangdeng Zong
(2021)Seyed Majid Esmaeilzadeh;Mehdi Golestani;Saleh Mobayen;Saleh Mobayen
(2021)Jun-Wei Hu;Xi-Sheng Zhan;Jie Wu;Huai-Cheng Yan
(2020)Yongzhen Guo;Yang Luo;Weiping Wang;Weiping Wang;Xiong Luo
(2020)Zhuoqing Liu;Ning Sun;Ning Sun;Yiming Wu;Xin Xin
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