0019-0578
Published by: International Society of Automation
https://www.isa.org/standards-and-publications/isa-publications/isa-transactions
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mechanical and Aerospace Engineering | 62 | 57 | 113 | 31 |
| Electronics and Electrical Engineering | 64 | 245 | 450 | 43 |
| Engineering and Technology | 171 | 113 | 168 | 34 |
The main research concerns discussed in the journal are Control theory, Control theory, Nonlinear system, Control engineering and Robustness (computer science). Control theory studies presented include PID controller, Control system, Adaptive control, Lyapunov function and Sliding mode control. Topics in Control theory explored in it were investigated in conjunction with research in Stability (learning theory), Control (management), Fuzzy logic and Observer (quantum physics).
The main emphasis of it is the subject of Fuzzy logic, focusing on Fuzzy control system. It links adjacent topics like Nonlinear system with Artificial neural network. In Isa Transactions, Process control, Process (computing) and Model predictive control are investigated in conjunction with one another to address concerns in Control engineering research.
The most cited publications focus on Control theory, Control engineering, Control theory, PID controller and Nonlinear system. Most of the Control theory studies addressed in the most cited articles also intersect with Fuzzy logic. The studies on Nonlinear system discussed at the journal articles can also contribute to research in the domains of Artificial neural network and Observer (quantum physics).
The aim of the journal is to expand the discussion of research in Control theory, Control theory, Nonlinear system, Robustness (computer science) and Algorithm. Studies on Control theory discussed in it link to the field of Convergence (routing). The studies on Control theory discussed can also contribute to research in the domains of Stability (learning theory), Lyapunov function, Control (management), Actuator and Trajectory.
The journal addresses concerns in Nonlinear system which are intertwined with other disciplines, such as Artificial neural network and Bounded function. Research on Algorithm addressed in Isa Transactions frequently intersections with the field of Fault (power engineering). Isa Transactions focuses on Fault (power engineering) but also tackles concerns of closely connected disciplines like
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 Isa Transactions (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 Isa Transactions (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, 2.48% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 17.66% were posted by at least one author from the top 10 institutions publishing in the journal. Another 11.38% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 16.64% of all publications and 54.33% 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.
Yalin Wang;Zhuofu Pan;Xiaofeng Yuan;Chunhua Yang
(2020)Xin Ma;Xin Ma;Wenqing Wu;Bo Zeng;Yong Wang
(2020)Yunkai Wu;Bin Jiang;Yulong Wang
(2020)Dan Zhang;Dan Zhang;Qing-Guo Wang;Gang Feng;Yang Shi
(2021)Chenyang Zhao;Chenyang Zhao;Chi Fai Cheung;Peng Xu;Peng Xu
(2020)George F. Savari;Vijayakumar Krishnasamy;Jagabar Sathik;Ziad M. Ali
(2020)M. Premkumar;Pradeep Jangir;R. Sowmya;Rajvikram Madurai Elavarasan
(2021)Pursuing a degree in Mechanical and Aerospace Engineering opens doors to lucrative and exciting career paths. For those exploring alternative or complementary fields, many students consider college degrees that pay well, ensuring a strong return on investment. It’s important to balance passion with practicality, especially when choosing majors that offer financial stability.
If you’re looking for programs that combine rewarding careers with a manageable workload, easiest college majors with high pay offer insight into options that don’t sacrifice income potential for difficulty. This is especially useful for those who want efficiency in their studies without compromising future earnings.
Accessibility and affordability are key concerns for many students. Exploring affordable online bachelor's degree programs can make a significant difference in both educational expenses and flexibility. Many reputable programs provide high-quality education without the financial strain.
For parents, particularly moms balancing education with family responsibilities, discovering the best online courses for moms can offer tailored support and schedules that fit busy lives. These programs empower students to pursue their engineering aspirations while managing home life.
