1751-570X
Published by: Elsevier
https://www.journals.elsevier.com/nonlinear-analysis-hybrid-systems
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Electronics and Electrical Engineering | 148 | 96 | 155 | 23 |
| Mathematics | 188 | 17 | 33 | 13 |
| Engineering and Technology | 781 | 19 | 29 | 11 |
Nonlinear Analysis: Hybrid Systems investigates studies in Control theory, Nonlinear system, Lyapunov function, Hybrid system and Applied mathematics. Discussions in the journal are anchored in the subject of Control theory and the similar topic of Stability (probability). While work presented in it provided substantial information on Nonlinear system, it also covered topics in Class (set theory), Bounded function, Mathematical analysis, State (functional analysis) and Function (mathematics).
Mathematical analysis studies presented include Fixed-point theorem, Fixed point, Banach space and Differential equation. The study on Fixed point presented is investigated in conjunction with research in Convergence (routing). The study on Lyapunov function presented in Nonlinear Analysis: Hybrid Systems intersects with the topics under Discrete time and continuous time.
The Hybrid system works featured in it incorporate elements from Control system, Dynamical systems theory and Mathematical optimization.
The most cited articles facilitate discussions on Control theory, Stability (probability), Exponential stability, Nonlinear system and Lyapunov function. The journal publications tackle research work in Control theory as well as Dwell time. The studies on Nonlinear system discussed at the most cited papers can also contribute to research in the domains of Fixed-point theorem, Mathematical analysis, Mathematical optimization and Hybrid system.
The objective of Nonlinear Analysis: Hybrid Systems is to combine knowledge in the areas of Control theory, Nonlinear system, Lyapunov function, Control theory and Stability (probability). While Control theory is the focus of the journal, it also provided insights into the studies of Function (mathematics) and State (functional analysis). Issues in Nonlinear system were discussed, taking into consideration concepts from other disciplines like Power (physics), Class (set theory), Growth rate and Robustness (computer science).
The concepts on Lyapunov function presented in Nonlinear Analysis: Hybrid Systems can also apply to other research fields, including Finite time, Exponential stability, Graph theory, Applied mathematics and Piecewise. Topics in Control theory were tackled in line with various other fields like Stability (learning theory), Control (management), Actuator, Asynchronous communication and Trajectory. Markov jump and Work (thermodynamics) are some topics wherein Stability (probability) research discussed in Nonlinear Analysis: Hybrid Systems have 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 Nonlinear Analysis: Hybrid 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 Nonlinear Analysis: Hybrid 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, 7.14% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 25.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 10.58% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 17.31% of all publications and 47.12% 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.
Zhilu Xu;Xiaodi Li;Vladimir Stojanovic
(2021)Li Ma;Ning Xu;Xin Huo;Xudong Zhao;Xudong Zhao
(2020)Can Zhao;Shouming Zhong;Qishui Zhong;Kaibo Shi
(2020)Xiaohong Wang;Huaiqin Wu;Jinde Cao
(2020)Wenping Cao;Quanxin Zhu
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