1007-5704
Published by: Elsevier
https://www.sciencedirect.com/journal/communications-in-nonlinear-science-and-numerical-simulation
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 13 | 155 | 353 | 34 |
| Mechanical and Aerospace Engineering | 99 | 68 | 86 | 22 |
| Electronics and Electrical Engineering | 139 | 75 | 148 | 25 |
| Engineering and Technology | 276 | 89 | 192 | 26 |
Communications in Nonlinear Science and Numerical Simulation was organized to reinforce research efforts on Mathematical analysis, Nonlinear system, Control theory, Applied mathematics and Classical mechanics. The journal dives deep in exploring the relationship between the study of Mathematical analysis and Bifurcation. Communications in Nonlinear Science and Numerical Simulation features studies on Nonlinear system, including topics such as Soliton.
Control theory research presented in it encompasses a variety of subjects, including Synchronization of chaos, Synchronization, Chaotic and Stability (probability). It focuses on Chaotic as well as the interrelated topic of Attractor. The work on Classical mechanics addressed in the journal expands to the thematically related Mechanics.
The published papers are mainly concerned with subjects like Mathematical analysis, Control theory, Nonlinear system, Fractional calculus and Chaotic. Issues in Mathematical analysis were discussed in the most cited papers, taking into consideration concepts from other disciplines like Homotopy analysis method and Applied mathematics. The journal articles focus on Nonlinear system research which is adjacent to topics in Classical mechanics.
Communications in Nonlinear Science and Numerical Simulation aims to foster the development of research in Nonlinear system, Statistical physics, Applied mathematics, Bifurcation and Pure mathematics. The research on Nonlinear system featured in it combines topics in other fields like Reservoir computing, Random number generation, Vibration, Physical unclonable function and Mechanics. Topics in Statistical physics explored in Communications in Nonlinear Science and Numerical Simulation were investigated in conjunction with research in Equilibrium point, Phase space, Computation, Stability (probability) and Eigenvalues and eigenvectors.
The concepts on Applied mathematics presented in the journal can also apply to other research fields, including Trajectory (fluid mechanics), Galerkin method, Smoothness (probability theory), Ordinary differential equation and Discretization. Extinction, Parameter space, Scaling law, Autocatalysis and Bistability are some topics wherein Bifurcation research discussed in Communications in Nonlinear Science and Numerical Simulation have an impact. Issues in Pure mathematics were discussed, taking into consideration concepts from other disciplines like Soliton, Hierarchy (mathematics), Reduction (complexity) and One-dimensional space.
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 Communications in Nonlinear Science and Numerical Simulation (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 Communications in Nonlinear Science and Numerical Simulation (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, 8.82% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 6.45% were posted by at least one author from the top 10 institutions publishing in the journal. Another 9.68% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 9.68% of all publications and 74.19% 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.
Si-Jia Chen;Wen-Xiu Ma;Xing Lü
(2020)Unknown
(2024)Unknown
(2020)Dumitru Baleanu;Sina Etemad;Hakimeh Mohammadi;Shahram Rezapour;Shahram Rezapour
(2021)M. Syed Ali;Govindasamy Narayanan;Vineet Shekher;Ahmed Alsaedi
(2020)Ning Wang;Guoshan Zhang;Nikolay V. Kuznetsov;Nikolay V. Kuznetsov;Nikolay V. Kuznetsov;Han Bao
(2021)Unknown
(2021)Unknown
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