| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 101 | 95 | 141 | 17 |
Mathematical analysis, Numerical analysis, Applied mathematics, Finite element method and Discretization are the subjects of interest in the journal. The research on Mathematical analysis tackled can also make contributions to studies in the areas of Discontinuous Galerkin method and Galerkin method, Nonlinear system. It facilitates discussions on Numerical analysis that incorporate concepts from other fields like Navier–Stokes equations, Geometry, Calculus and Finite volume method.
The research on Applied mathematics featured in it combines topics in other fields like Rate of convergence, Polygon mesh and Mathematical optimization. Mixed finite element method and Extended finite element method are Finite element method topics of special interest in it.
The journal articles mainly deal with areas of study such as Mathematical analysis, Numerical analysis, Applied mathematics, Finite element method and Partial differential equation. The most cited papers with studies in Mathematical analysis featured incorporate elements of Discontinuous Galerkin method and Galerkin method, Nonlinear system. The study of Numerical analysis in the most cited articles encompasses disciplines such as Geometry, as well as fields such as Pure mathematics, all of which overlap with one another.
Mathematical Modelling and Numerical Analysis tackles a plethora of topics, such as Applied mathematics, Finite element method, Mathematical analysis, Discretization and Numerical analysis. Mathematical Modelling and Numerical Analysis holds forums on Applied mathematics that merges themes from other disciplines such as Norm (mathematics), Nonlinear system, Rate of convergence, Piecewise and Discontinuous Galerkin method. Many of the research works in Finite element method, specifically Galerkin method, closely connected to disciplines like Space time.
In it, Helmholtz free energy, Scattering and Surface (mathematics) are investigated in conjunction with one another to address concerns in Mathematical analysis research. Mathematical Modelling and Numerical Analysis tackles studies in Finite volume method and the interrelated subject of Compact space, Conservation law, Flow (mathematics) and Partial differential equation to gain insights into Discretization. The Numerical analysis works featured in Mathematical Modelling and Numerical Analysis incorporate elements from Iterative method, Linear system, Variable (mathematics) and Entropy (classical thermodynamics).
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 Modelling and Numerical Analysis (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 Modelling and Numerical Analysis (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, 22.31% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 25.53% were posted by at least one author from the top 10 institutions publishing in the journal. Another 7.45% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 17.02% of all publications and 50.00% 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.
Matthieu Martin;Sebastian Krumscheid;Fabio Nobile
(2021)Erik Burman;Miguel Angel Fernández;Stefan Frei
(2020)Giulia Bertaglia;Lorenzo Pareschi
(2021)Wenbin Chen;Weijia Li;Zhiwen Luo;Cheng Wang
(2020)Gregor Gantner;Rob Stevenson
(2021)Jakob Zech;Christoph Schwab
(2020)Eligio Colmenares;Gabriel N. Gatica;Sebastián Moraga;Sebastián Moraga
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