| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 689 | 15 | 23 | 8 |
Cybernetics and Systems was organized to reinforce research efforts on Artificial intelligence, Fuzzy logic, Knowledge management, Mathematical optimization and Control theory. The Artificial intelligence research dealing mostly with Artificial neural network is the focus of Cybernetics and Systems. The journal encompasses presentations on Fuzzy logic, specifically Fuzzy number, Fuzzy classification, Fuzzy set operations and Fuzzy set.
Fuzzy number studies presented include Type-2 fuzzy sets and systems and Fuzzy mathematics. Most of the Type-2 fuzzy sets and systems studies addressed also intersect with Defuzzification. Cybernetics and Systems connects research in Fuzzy classification with the related topic of Membership function.
Studies on Fuzzy set operations discussed in it link to the field of Neuro-fuzzy. Control theory research is the primary subject tackled in the journal with a focus on Control theory.
Artificial intelligence, Fuzzy number, Data mining, Fuzzy logic and Fuzzy set operations are the main subjects of interest in the published articles. The study of Artificial intelligence in the journal papers encompasses disciplines such as Imitation, as well as fields such as Cognitive psychology, all of which overlap with one another. The studies on Fuzzy number discussed at the most cited papers can also contribute to research in the domains of Fuzzy classification and Mathematical optimization.
The journal mainly tackles studies in Artificial intelligence, Deep learning, Computer vision, Industry 4.0 and Data science. Reconfigurable computing, Machine learning and Noise are some topics wherein Artificial intelligence research discussed in the journal have an impact. The research on Deep learning featured in Cybernetics and Systems combines topics in other fields like Segmentation, Electric potential energy, Wind speed, Global warming and Convolutional neural network.
Computer vision research featured in it incorporates concerns from various other topics such as Home automation, Field-programmable gate array and Signal strength. While Industry 4.0 is the focus of the journal, it also provided insights into the studies of New product development, Virtual product development, Manufacturing engineering and Industrial Revolution. The journal holds forums on Data science that merges themes from other disciplines such as Scale (ratio), The Internet, Categorization and Cybernetics.
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 Cybernetics 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 Cybernetics 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, 4.17% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 30.43% were posted by at least one author from the top 10 institutions publishing in the journal. Another 6.52% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 19.57% of all publications and 43.48% 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.
Another crucial aspect to consider about Cybernetics and Systems research is the career opportunities and potential salary benefits it brings, particularly in the education sector. Many private schools today appreciate a strong foundation in areas such as Artificial Intelligence, Fuzzy Logic, and Control Theory and are on the lookout for educators with expertise in these subjects. For instance, becoming a private school teacher in Kentucky with a special focus on Cybernetics and Systems can be both personally rewarding and financially beneficial. Teachers with knowledge in these cutting-edge research topics can help equip students with the relevant skills and understanding to excel in future science and technology fields. Private school teacher salary in Kentucky can also be notably attractive, especially when supplemented with the personal satisfaction of contributing to such an impactful field. Given the rapid technological advancements and increasing reliance on complex systems, facets of Cybernetics and Systems are becoming integral parts of various industries. Therefore, career opportunities are not limited only to academica and education. Sectors such as technology development, data science, and various forms of engineering also value the skill set that Cybernetics and Systems research can develop. Therefore, whether in a school setting or corporate environment, expertise in Cybernetics and Systems is a valuable asset in today's job market.
Yu Guo;Jian-Yu Li;Zhi-Hui Zhan
(2021)Jianrong Chen;Jinjin Guo;Yunong Zhang
(2021)Rajkumar Verma;José M. Merigó
(2021)Fabio Blanco-Mesa;José M. Merigó
(2020)Loan T. T. Nguyen;Dinh-Bao Vu;Trinh D. D. Nguyen;Bay Vo
(2020)Pantea Koochemeshkian;Nuha Zamzami;Nizar Bouguila
(2020)Jianchao Fan;Xiaoxin Liu;Xinzhe Wang;Deyi Wang
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