| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 302 | 32 | 36 | 9 |
The scientific interests tackled in Nodea-nonlinear Differential Equations and Applications are Mathematical analysis, Nonlinear system, Combinatorics, Bounded function and Pure mathematics. It facilitates discussions on Mathematical analysis that incorporate concepts from other fields like Type (model theory) and Boundary (topology). Nonlinear system research presented in the journal encompasses a variety of subjects, including Initial value problem, Schrödinger equation, Applied mathematics and Mathematical physics.
The Combinatorics works featured in Nodea-nonlinear Differential Equations and Applications incorporate elements from Lambda, Nabla symbol, Omega and Energy (signal processing). The study on Omega presented in Nodea-nonlinear Differential Equations and Applications intersects with the topics under Domain (ring theory). The journal focuses on Bounded function but the discussions also offer insight into other areas such as Discrete mathematics, Lipschitz continuity and Domain (mathematical analysis).
The Pure mathematics study featured in Nodea-nonlinear Differential Equations and Applications draws connections with the study of Class (set theory). The Boundary value problem works, particularly on Mixed boundary condition are tackled in the journal.
The journal papers are organized to address concerns in the fields of Mathematical analysis, Nonlinear system, Uniqueness, Bounded function and Combinatorics. The works on Mathematical analysis tackled in the most cited papers bring together disciplines like Boundary (topology) and Pure mathematics. The journal articles explore issues in Nonlinear system which can be linked to other research areas like Schrödinger equation, Multiplicity (mathematics), Class (set theory), Space (mathematics) and Maximum principle.
Mathematical analysis, Nonlinear system, Applied mathematics, Uniqueness and Pure mathematics are the subjects of interest in Nodea-nonlinear Differential Equations and Applications. Mathematical analysis, which encompasses Bounded function, Infinity, Conservation law, Limit (mathematics) and Space (mathematics), is the main subject of Nodea-nonlinear Differential Equations and Applications. The studies on Nonlinear system discussed can also contribute to research in the domains of Scattering, Type (model theory), Energy (signal processing), Ground state and Term (time).
The research on Applied mathematics tackled can also make contributions to studies in the areas of Bellman equation, Boundary value problem, Class (set theory), Function (mathematics) and Order (group theory). The concepts on Uniqueness presented in the journal can also apply to other research fields, including Weak solution, Invariant (mathematics), Attractor and Distribution (number theory). While Pure mathematics is the focus of it, it also provided insights into the studies of Work (thermodynamics), Omega, Degenerate energy levels and Extension (predicate logic).
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 Nodea-nonlinear Differential Equations and 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 Nodea-nonlinear Differential Equations and 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 2021 edition, 10.14% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 8.06% were posted by at least one author from the top 10 institutions publishing in the journal. Another 6.45% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 19.35% of all publications and 66.13% 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.
Xiaoli Wang;Xiaoli Wang;Peter E. Kloeden;Xiaoying Han
(2021)Yves Achdou;Paola Mannucci;Claudio Marchi;Nicoletta Tchou
(2020)Mengyao Ding;Michael Winkler
(2021)Pierre Cardaliaguet;Catherine Rainer
(2020)L. Boccardo;S. Buccheri;G. R. Cirmi
(2020)Aidyn Kassymov;Aidyn Kassymov;Michael Ruzhansky;Michael Ruzhansky;Durvudkhan Suragan
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