| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Electronics and Electrical Engineering | 15 | 166 | 819 | 76 |
| Computer Science | 35 | 307 | 783 | 70 |
The foci of the journal are Fuzzy logic, Fuzzy control system, Control theory, Fuzzy set and Artificial intelligence. The studies on Fuzzy logic discussed can also contribute to research in the domains of Algorithm, Mathematical optimization and Data mining. Issues in Fuzzy control system were discussed, taking into consideration concepts from other disciplines like Stability (learning theory), Linear matrix inequality, Exponential stability and Robust control, Robustness (computer science).
The presentations discussing Control theory offer insights in topics such as Nonlinear system, Control theory, Control system, Lyapunov function and Adaptive control. Topics in Nonlinear system were tackled in line with various other fields like Observer (quantum physics), Bounded function and Adaptive system. It addresses concerns in Fuzzy set which are intertwined with other disciplines, such as Discrete mathematics, Theoretical computer science and Interval (mathematics).
While work presented in it provided substantial information on Artificial intelligence, it also covered topics in Machine learning and Pattern recognition. The study on Fuzzy number presented is investigated in conjunction with research in Fuzzy classification. In IEEE Transactions on Fuzzy Systems, Fuzzy set operations and Defuzzification are investigated in conjunction with one another to address concerns in Fuzzy classification research.
The journal publications cover a variety of subjects, including Fuzzy logic, Fuzzy control system, Control theory, Fuzzy set and Artificial intelligence. The journal publications dive deep in exploring the relationship between the study of Fuzzy logic and Mathematical optimization. Machine learning and Pattern recognition are some topics wherein Artificial intelligence research discussed in the published papers has an impact.
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 IEEE Transactions on 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 IEEE Transactions on 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, 13.21% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 28.18% were posted by at least one author from the top 10 institutions publishing in the journal. Another 11.59% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 23.86% of all publications and 36.36% 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.
Unknown
(2022)Ming Chen;Huanqing Wang;Xiaoping Liu
(2021)Unknown
(2022)Hongjing Liang;Xiyue Guo;Yingnan Pan;Tingwen Huang
(2021)Huimin Lu;Ming Zhang;Xing Xu;Yujie Li
(2021)Kangkang Sun;Lu Liu;Jianbin Qiu;Gang Feng
(2021)Jing Wang;Chengyu Yang;Jianwei Xia;Zheng-Guang Wu
(2021)Jing Wang;Jianwei Xia;Hao Shen;Mengping Xing
(2021)Xudong Zhao;Xinyong Wang;Li Ma;Guangdeng Zong
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