| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Physics | 88 | 19 | 123 | 22 |
| Electronics and Electrical Engineering | 267 | 41 | 75 | 14 |
The main points discussed in the journal deals with Statistical physics, Chaotic, Control theory, Nonlinear system and Classical mechanics. The research on Statistical physics featured in it combines topics in other fields like Stochastic process and Dynamical systems theory. The Chaotic study tackled is a key component of adjacent topics in the area of Attractor.
In addition to Control theory research, the journal aims to explore topics under Synchronization of chaos, Synchronization and Stability (probability). Research on Synchronization addressed in it frequently intersections with the field of Topology. The study on Topology presented is investigated in conjunction with research in Complex network.
The work tackled in it goes beyond the discipline of Nonlinear system as it also encompasses Mathematical analysis. Discussions in Chaos are anchored in the subject of Mathematical analysis and the similar topic of Bifurcation. The Classical mechanics study featured in Chaos draws connections with the study of Mechanics.
The most cited publications are organized to reinforce research efforts on Control theory, Statistical physics, Chaotic, Nonlinear system and Synchronization. The published papers address concerns in Statistical physics which are intertwined with other disciplines, such as Stochastic process, Dynamical systems theory and Bifurcation. The studies on Nonlinear system discussed at the published papers can also contribute to research in the domains of Numerical analysis and Classical mechanics.
The journal was organized to reinforce research efforts on Statistical physics, Chaotic, Attractor, Nonlinear system and Applied mathematics. It holds forums on Statistical physics that merges themes from other disciplines such as Phase (waves), Synchronization, Noise (electronics), Bistability and Coupling (physics). While Chaotic is the focus of it, it also provided insights into the studies of Dynamical systems theory and Topology.
Many of the studies tackled connect Attractor with a similar field of study like Bifurcation. Chaos features Bifurcation research that overlaps with concepts in Mathematical analysis. The journal connects research in Applied mathematics with the related topic of Series (mathematics).
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 Chaos (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 Chaos (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, 7.73% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 13.88% were posted by at least one author from the top 10 institutions publishing in the journal. Another 7.89% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 15.79% of all publications and 62.44% 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.
Yang Tang;Juergen Kurths;Wei Lin;Edward Ott
(2020)Yong Xu;Hao Zhang;Yongge Li;Kuang Zhou
(2020)Moritz Gerster;Rico Berner;Jakub Sawicki;Anna Zakharova
(2020)Alexander Wikner;Jaideep Pathak;Brian R. Hunt;Michelle Girvan
(2020)Dhruvit Patel;Daniel Canaday;Michelle Girvan;Andrew Pomerance
(2021)Yayun Zheng;Fang Yang;Jinqiao Duan;Xu Sun
(2020)Elena Pitsik;Nikita Frolov;K. Hauke Kraemer;Vadim Grubov
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