| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 472 | 9 | 15 | 6 |
The discussions in the journal mainly cover the fields of Fuzzy logic, Discrete mathematics, Fuzzy number, Mathematical optimization and Computational intelligence. In Fuzzy Information and Engineering, Control theory, Data mining and Pure mathematics are investigated in conjunction with one another to address concerns in Fuzzy logic research. The Discrete mathematics research presented in Fuzzy Information and Engineering explores the relationship between Algebra and the closely related topic of Intuitionistic fuzzy.
The studies in Fuzzy number featured incorporate elements of Fuzzy set operations and Fuzzy classification. Fuzzy set operations research is the primary subject tackled in Fuzzy Information and Engineering with a focus on Type-2 fuzzy sets and systems. The study on Mathematical optimization presented is investigated in conjunction with research in Fuzzy transportation.
The journal focuses on Computational intelligence research which is adjacent to topics in Algorithm. Some problems in Defuzzification that were presented in it overlapped with concepts under Fuzzy associative matrix and Membership function. While Artificial intelligence is the focus of it, it also provided insights into the studies of Machine learning and Pattern recognition.
The journal papers primarily focus on research topics in Fuzzy number, Defuzzification, Fuzzy set operations, Fuzzy logic and Mathematical optimization. The published papers facilitate discussions on Fuzzy number that incorporate concepts from other fields like Risk analysis and Data mining. While Fuzzy set operations is the key highlight in the most cited articles, thet also covered some subjects on Discrete mathematics and Pure mathematics, Combinatorics and Algebra.
Fuzzy Information and Engineering investigates areas of study like Fuzzy logic, Pure mathematics, Discrete mathematics, Algebra and Mathematical optimization. The journal focused on Fuzzy logic research conducted under the discipline of Artificial intelligence. Fuzzy Information and Engineering facilitates discussions on Discrete mathematics that incorporate concepts from other fields like T-norm, Fuzzy implication, Law of importation and Metric (mathematics).
Fuzzy Information and Engineering addresses concerns in Algebra which are intertwined with other disciplines, such as Intuitionistic fuzzy, Pythagorean fuzzy sets, Fuzzy metric space and Normed vector space. The Mathematical optimization study presented in Fuzzy Information and Engineering encompasses related topics like Linear-fractional programming, Linear programming and Genetic algorithm and also examines its connection to subjects such as Two stages. Fuzzy number research in Fuzzy Information and Engineering involves the investigation of Fault tree analysis studies, all of which are linked to disciplines such as Fuzzy control system.
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 Fuzzy Information and 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 Fuzzy Information and 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, 9.38% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 37.93% were posted by at least one author from the top 10 institutions publishing in the journal. Another 6.90% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 10.34% of all publications and 44.83% 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.
Ubaid Ur Rehman;Tahir Mahmood
(2021)Tahir Mahmood;Ubaid ur Rehman;Zeeshan Ali
(2020)Amir-Mohammad Golmohammadi;Mahnoobeh Honarvar;Hassan Hosseini-Nasab;Reza Tavakkoli-Moghaddam
(2020)Muhammad Jabir Khan;Poom Kumam;Wiyada Kumam;Ahmad N. Al-Kenani
(2021)F. Abbasi;T. Allahviranloo
(2021)Sanchari Bera;Madhumangal Pal
(2020)N. Ajmal;I. Jahan;B. Davvaz
(2021)M. Mohseni Takallo;R. A. Borzooei;Y. B. Jun;Y. B. Jun
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