| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 36 | 88 | 165 | 26 |
| Engineering and Technology | 537 | 22 | 53 | 16 |
The journal focuses on Mathematical analysis, Nonlinear system, Classical mechanics, Boundary value problem and Applied mathematics. The concepts on Mathematical analysis presented in the journal can also apply to other research fields, including Boundary (topology) and Finite element method. Mixed finite element method is a major topic of Finite element method research presented in the journal.
The journal features Classical mechanics research that overlaps with concepts in Mechanics. Specifically, studies on Compressibility are prevalent in the Mechanics works discussed. In addition to Applied mathematics research, the journal aims to explore topics under Convergence (routing) and Mathematical optimization.
The most cited publications mostly deal with topics like Mathematical analysis, Applied mathematics, Finite element method, Classical mechanics and Nonlinear system. The journal articles focus on Mathematical analysis as well as the interrelated topics of Convergence (routing). While work presented in the published articles provide substantial information on Applied mathematics, it also covers topics in Polygon mesh and Mathematical optimization.
The journal covers a variety of subjects, including Applied mathematics, Mathematical analysis, Active particles, Statistical physics and Chemotaxis. Some problems in Applied mathematics that were presented in it overlapped with concepts under Regularization (mathematics), Convergence (routing) and Finite element method. Mathematical analysis research presented in Mathematical Models and Methods in Applied Sciences encompasses a variety of subjects, including Navier stokes, Type (model theory) and Nonlinear system.
It aims to investigate interdisciplinary topics such as Active particles and Pandemic. While Statistical physics is the focus of the journal, it also provided insights into the studies of Kinetic theory of gases, Kinetic model and Crowd dynamics.
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 Mathematical Models and Methods in Applied Sciences (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 Mathematical Models and Methods in Applied Sciences (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, 23.68% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 20.69% were posted by at least one author from the top 10 institutions publishing in the journal. Another 13.79% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 20.69% of all publications and 44.83% 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.
Nicola Bellomo;Nicola Bellomo;Richard Bingham;Mark A. J. Chaplain;Giovanni Dosi
(2020)Unknown
(2022)Nicola Bellomo;Diletta Burini;Giovanni Dosi;Livio Gibelli
(2021)L. Beirão da Veiga;F. Dassi;G. Vacca
(2020)Seung-Yeal Ha;Seung-Yeal Ha;Shi Jin;Doheon Kim
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