| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Electronics and Electrical Engineering | 335 | 20 | 35 | 10 |
| Engineering and Technology | 1069 | 9 | 15 | 7 |
Systems Science & Control Engineering focuses on Control theory, Nonlinear system, Control theory, Artificial intelligence and Control (management). In addition to Control theory research, Systems Science & Control Engineering aims to explore topics under Control engineering and Stability (probability). The journal holds forums on Artificial intelligence that merges themes from other disciplines such as Computer vision and Pattern recognition.
The most cited papers facilitate discussions on Control theory, Nonlinear system, Control engineering, Control (management) and Lyapunov function. The journal publications explore issues in Control theory which can be linked to other research areas like Transformation (function) and Stability (probability). While the journal publications focused on Nonlinear system, they were also able to explore topics like Sensitivity (control systems) and Principal component analysis, Pattern recognition.
Systems Science & Control Engineering focuses largely on the fields of Control theory, Nonlinear system, Algorithm, Control (management) and Artificial intelligence. Issues in Control theory were discussed, taking into consideration concepts from other disciplines like Event triggered, Model predictive control and Fuzzy logic. The studies on Nonlinear system discussed can also contribute to research in the domains of Consensus control, Multi-agent system and Tracking (particle physics).
The research on Algorithm featured in Systems Science & Control Engineering combines topics in other fields like Fault (power engineering), Artificial neural network and Identification (information). In Systems Science & Control Engineering, Control system, Permanent magnet synchronous motor and Active disturbance rejection control are investigated in conjunction with one another to address concerns in Control (management) research. While work presented in Systems Science & Control Engineering provided substantial information on Artificial intelligence, it also covered topics in Machine learning, Computer vision and Pattern recognition.
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 Systems Science & Control Engineering (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 Systems Science & Control Engineering (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, 20.95% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 50.60% were posted by at least one author from the top 10 institutions publishing in the journal. Another 10.84% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 15.66% of all publications and 22.89% 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.
Daan Ji;Chuang Wang;Jiahui Li;Hongli Dong
(2021)Zehao Li;Jun Hu;Jiaxing Li
(2021)Zhibin Hu;Jun Hu;Guang Yang
(2020)Hongyu Gao;Liyuan Ma;Hongli Dong;Jingyi Lu
(2020)Yina Zhou;Yong Zhang;Dandi Yang;Jingyi Lu
(2020)For those interested in expanding their knowledge beyond traditional computer science, several related online degrees offer promising career paths. Pursuing an engineer degree online can provide a strong foundation in hardware, software, and systems design, broadening opportunities in fields like software development and robotics.
If you have a passion for creativity combined with technology, an game art degree online offers specialized training in designing immersive visuals and interactive experiences for the gaming industry. This pathway supports careers in game design, animation, and multimedia development.
The growing importance of data protection makes an online cybersecurity degree highly valuable. Students develop skills to defend against cyber threats, preparing for roles such as security analyst or ethical hacker.
For professionals aiming to analyze and interpret complex datasets, pursuing an online masters in data science equips them with advanced expertise in machine learning, statistics, and big data technologies, opening doors in various industries including finance, healthcare, and tech.
