| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 160 | 39 | 89 | 14 |
| Electronics and Electrical Engineering | 370 | 15 | 32 | 8 |
| Engineering and Technology | 898 | 14 | 27 | 9 |
The primary areas of discussion in Nonlinear Analysis-Modelling and Control are Mathematical analysis, Applied mathematics, Nonlinear system, Control theory and Boundary value problem. The majority of Mathematical analysis studies are focused on the issues of Fixed-point theorem. The journal focuses on Fixed-point theorem research as part of the broader topic of Pure mathematics.
While Nonlinear Analysis-Modelling and Control focused on Applied mathematics, it was also able to explore topics like Uniqueness, Stability (probability) and Differential equation. The study on Stability (probability) presented is investigated in conjunction with research in Hopf bifurcation. It connects the study in Control theory with the closely related area of Artificial neural network.
The published articles facilitate discussions on Mathematical analysis, Applied mathematics, Mechanics, Nonlinear system and Thermodynamics. The works on Applied mathematics tackled in the most cited articles bring together disciplines like Finite difference, Epidemic model, Stability (probability), Differential equation and White noise. While the journal articles focused on Thermodynamics, they were also able to explore topics like Flow (mathematics) and Porous medium.
The scientific interests tackled in Nonlinear Analysis-Modelling and Control are Applied mathematics, Nonlinear system, Boundary value problem, Pure mathematics and Uniqueness. Topics in Applied mathematics were tackled in line with various other fields like Convergence (routing), Elliptic curve, Banach space, Constant (mathematics) and Term (time). Planar, Geophysics and Schrödinger equation are some topics wherein Nonlinear system research discussed in it have an impact.
The featured Boundary value problem research is covered under the field of Mathematical analysis. It connects research in Mathematical analysis with the related topic of Stability (probability). The studies on Pure mathematics discussed can also contribute to research in the domains of Fixed point, Type (model theory), Space (mathematics), Interval (graph theory) and Time periodic.
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-Modelling and Control (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-Modelling and Control (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, 5.77% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 32.65% were posted by at least one author from the top 10 institutions publishing in the journal. Another 12.24% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 24.49% of all publications and 30.61% 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.
Xinguang Zhang;Lishan Liu;Yonghong Wu;Yujun Cui
(2020)Lokesh Budhia;Hassen Aydi;Arslan Hojat Ansari;Dhananjay Gopal
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