1468-1218
Published by: Elsevier
https://www.journals.elsevier.com/nonlinear-analysis-real-world-applications
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 83 | 70 | 113 | 19 |
Nonlinear Analysis-real World Applications primarily focuses on research topics in Mathematical analysis, Nonlinear system, Applied mathematics, Control theory and Uniqueness. In addition to Mathematical analysis research, it aims to explore topics under Compressibility and Stability (probability). While the journal focused on Stability (probability), it was also able to explore topics like Hopf bifurcation and Bifurcation.
The studies tackled, which mainly focus on Hopf bifurcation, apply to Saddle-node bifurcation as well. Nonlinear Analysis-real World Applications holds forums on Applied mathematics that merges themes from other disciplines such as Class (set theory) and Mathematical optimization. In particular, the Control theory works presented emphasize discussions on Exponential stability.
The study on Exponential stability presented in it intersects with the topics under Artificial neural network. Most of the works presented in the journal deals with Bounded function but it intersects with the subject of Domain (mathematical analysis).
The most cited papers tackle a plethora of topics, such as Mathematical analysis, Control theory, Applied mathematics, Nonlinear system and Stability (probability). While Mathematical analysis is the focus of the journal articles, it also provides insights into the studies of Homotopy analysis method and Bifurcation diagram. The studies on Control theory discussed at the journal publications can also contribute to research in the domains of Artificial neural network, Synchronization of chaos and Chaotic.
The journal aims to foster the development of research in Mathematical analysis, Nonlinear system, Mathematical physics, Uniqueness and Type (model theory). It is mostly focused on Mathematical analysis, specifically Operator (physics). The Nonlinear system works featured in Nonlinear Analysis-real World Applications incorporate elements from Diffusion (business), Exponential growth, Wave equation, Exponential function and Degenerate energy levels.
It focuses on Mathematical physics but the discussions also offer insight into other areas such as Elliptic curve, Ball (mathematics), Critical point (thermodynamics), Infinity and Perturbation method. Topics in Uniqueness were tackled in line with various other fields like Blood flow, Partial differential equation, Class (set theory), Robin boundary condition and Upper and lower bounds. Nonlinear Analysis-real World Applications explores topics in Type (model theory) which can be helpful for research in disciplines like Mathematical proof, Multiplicity (mathematics), Singularity, Period (periodic table) and Elastic collision.
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-real World Applications (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-real World Applications (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 2022 edition, 7.50% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 2.70% were posted by at least one author from the top 10 institutions publishing in the journal. Another 2.70% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 18.92% of all publications and 75.68% 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.
A.M. Elaiw;A.D. Al Agha
(2020)Yancong Xu;Yancong Xu;Yu Yang;Fanwei Meng;Pei Yu
(2020)Patrick De Leenheer;Wenxian Shen;Aijun Zhang
(2020)Weimin Han
(2020)Stanisław Migórski;Stanisław Migórski
(2021)Yahong Peng;Yujing Li;Tonghua Zhang
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