| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Electronics and Electrical Engineering | 235 | 50 | 111 | 16 |
| Engineering and Technology | 345 | 37 | 82 | 23 |
International Journal of Fuzzy Systems primarily focuses on research topics in Fuzzy logic, Computational intelligence, Control theory, Artificial intelligence and Mathematical optimization. The journal holds forums on Fuzzy logic that merges themes from other disciplines such as Artificial neural network, Algorithm and Data mining. Among the topics covered in the journal are Computational intelligence and Operator (computer programming).
Control theory studies presented include Control theory, Nonlinear system, Fuzzy control system, Lyapunov function and Backstepping. Topics in Control theory explored in the journal were investigated in conjunction with research in Control system and Stability (learning theory). Research on Nonlinear system addressed in the journal frequently intersections with the field of Bounded function.
The journal is mostly focused on Fuzzy control system, specifically Adaptive neuro fuzzy inference system. The concepts on Artificial intelligence presented in International Journal of Fuzzy Systems can also apply to other research fields, including Machine learning, Computer vision and Pattern recognition. International Journal of Fuzzy Systems explores research in Fuzzy set operations and overlapping concepts in Fuzzy classification to expand the discourse in Fuzzy number.
The published articles investigate areas of study like Computational intelligence, Fuzzy logic, Artificial intelligence, Control theory and Mathematical optimization. The most cited articles aim to bridge the gap between the study of Computational intelligence and Operator (computer programming). While Fuzzy logic is the focus of the journal articles, it also provides insights into the studies of Lyapunov stability and Process (engineering).
The aim of the journal is to expand the discussion of research in Computational intelligence, Fuzzy logic, Control theory, Control theory and Nonlinear system. It focused on Computational intelligence research conducted under the discipline of Artificial intelligence. The studies in Artificial intelligence featured incorporate elements of Machine learning and Pattern recognition.
The majority of Fuzzy logic studies are focused on the issues of Fuzzy number. Nonlinear system research featured in it incorporates concerns from various other topics such as Tracking (particle physics) and Variable (mathematics). In addition to Fuzzy control system research, it aims to explore topics under Linear matrix inequality, Lyapunov stability and Applied mathematics.
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 Fuzzy 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 Fuzzy 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, 6.28% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 21.05% were posted by at least one author from the top 10 institutions publishing in the journal. Another 8.13% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 23.44% of all publications and 47.37% 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.
Fan Lei;Guiwu Wei;Hui Gao;Jiang Wu
(2020)Unknown
(2023)Pratibha Rani;Arunodaya Raj Mishra;Ghasem Rezaei;Huchang Liao
(2020)Masooma Raza Hashmi;Muhammad Riaz;Florentin Smarandache
(2020)Ningna Liao;Guiwu Wei;Xudong Chen
(2021)Mengwei Zhao;Guiwu Wei;Cun Wei;Jiang Wu
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