| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Electronics and Electrical Engineering | 458 | 9 | 12 | 5 |
| Computer Science | 787 | 14 | 14 | 6 |
The main points discussed in Cyber-Physical Systems deals with Cyber-physical system, Control theory, Computer network, Control (management) and Distributed computing. In the journal, Computer security, Systems engineering, Denial-of-service attack, Hybrid system and Computation are investigated in conjunction with one another to address concerns in Cyber-physical system research. Cyber-Physical Systems primarily discusses Control theory topics, particularly Control theory, Trajectory, Underactuation, Optimal control and Nonlinear system.
The study on Trajectory presented is investigated in conjunction with research in Tracking (particle physics). Most of the works presented in Cyber-Physical Systems deals with Tracking (particle physics) but it intersects with the subject of Terminal sliding mode. The journal connects the study in Computer network with the closely related area of Cognitive radio.
It investigates Control (management) research which frequently intersects with Bandwidth allocation. The Distributed computing study featured in Cyber-Physical Systems draws connections with the study of Scheduling (computing).
Cyber-physical system, Systems engineering, Distributed computing, Efficient energy use and Node (networking) are the main subjects of interest in the journal articles. The most cited articles help close the divide between two different fields of study: Cyber-physical system and Group (mathematics). The journal publications explore topics in Systems engineering which can be helpful for research in disciplines like Software engineering and Feature (computer vision).
The scientific interests tackled in the journal are Computer network, Distributed computing, Control theory, Trajectory and Algorithm. It explores issues in Computer network which can be linked to other research areas like Cognitive radio and Overlay network. Some problems in Distributed computing that were presented in Cyber-Physical Systems overlapped with concepts under Control system, Q-learning, Task (project management) and Cyber-physical system.
While the journal primarily focused on Cyber-physical system, it also opened dialogues on the discipline of Distributed element model. The presented Control theory research focuses mostly on Tracking (particle physics) and, on occasion, topics in Underactuation. Topics in Trajectory were tackled in line with various other fields like Unsupervised learning and Computer vision.
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 Cyber-Physical 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 Cyber-Physical 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, 18.52% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 27.27% were posted by at least one author from the top 10 institutions publishing in the journal. Another 27.27% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 13.64% of all publications and 31.82% 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.
A. Meena Kowshalya;Xiao-Zhi Gao;Valarmathi Ml
(2020)Wenhui Wu;Xin Jin;Yang Tang
(2020)Leepakshi Bindra;Kalvin Eng;Omid Ardakanian;Eleni Stroulia
(2020)Aron Laszka;Waseem Abbas;Yevgeniy Vorobeychik;Xenofon Koutsoukos
(2020)Rajorshi Biswas;Jie Wu;Xiaojiang Du;Yaling Yang
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