| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mechanical and Aerospace Engineering | 24 | 180 | 519 | 43 |
| Electronics and Electrical Engineering | 67 | 208 | 462 | 42 |
| Engineering and Technology | 73 | 165 | 408 | 51 |
The aim of the journal is to expand the discussion of research in Nonlinear system, Control theory, Mathematical analysis, Chaotic and Classical mechanics. Nonlinear system research featured in it incorporates concerns from various other topics such as Vibration, Mechanics, Applied mathematics and Amplitude. The Vibration study tackled is a key component of adjacent topics in the area of Structural engineering.
In addition to Control theory research, the journal aims to explore topics under Control engineering, Synchronization (computer science) and Stability (probability). While Mathematical analysis is the focus of the journal, it also provided insights into the studies of Soliton, Hopf bifurcation, Saddle-node bifurcation and Bifurcation diagram. Nonlinear Dynamics emphasizes research on Saddle-node bifurcation, which includes concerns such as Transcritical bifurcation.
Nonlinear Dynamics addresses concerns in Chaotic which are intertwined with other disciplines, such as Synchronization of chaos and Attractor. Classical mechanics research is the primary subject tackled in Nonlinear Dynamics with a focus on Equations of motion.
The journal publications focus on Control theory, Nonlinear system, Mathematical analysis, Chaotic and Classical mechanics. Control theory is a major topic of Control theory research in the published papers. Vibration, Mechanics and Structural engineering are some topics wherein Nonlinear system research discussed in the most cited papers has 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 Dynamics (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 Dynamics (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, 2.05% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 13.34% were posted by at least one author from the top 10 institutions publishing in the journal. Another 9.05% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 16.01% of all publications and 61.60% 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.
Shaobo He;Yuexi Peng;Kehui Sun
(2020)Hu Ding;Li-Qun Chen
(2020)Zhongyun Hua;Zhihua Zhu;Yongyong Chen;Yuanman Li
(2021)Unknown
(2022)Hairong Lin;Chunhua Wang;Yichuang Sun;Wei Yao
(2020)Yin Fang;Gang-Zhou Wu;Yue-Yue Wang;Chao-Qing Dai
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