| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 802 | 4 | 4 | 1 |
International Journal of Numerical Analysis and Modeling mainly deals with areas of study such as Mathematical analysis, Finite element method, Applied mathematics, Discontinuous Galerkin method and Discretization. The Mathematical analysis works featured in the journal incorporate elements from Superconvergence, Mixed finite element method and Compressibility. The in-depth study on Mixed finite element method also explores topics in the intersecting field of Extended finite element method.
Topics in Finite element method explored in International Journal of Numerical Analysis and Modeling were investigated in conjunction with research in Rate of convergence, Norm (mathematics), Numerical analysis and Nonlinear system. It focuses on Numerical analysis as well as the interrelated topic of Flow (mathematics). The studies in Applied mathematics featured incorporate elements of Scheme (mathematics), Work (thermodynamics), Partial differential equation and Mathematical optimization.
The studies on Discontinuous Galerkin method discussed can also contribute to research in the domains of Convection–diffusion equation and Polygon mesh.
The main points discussed in the journal articles deal with Mathematical analysis, Applied mathematics, Finite element method, Norm (mathematics) and Numerical analysis. The most cited publications focus on Mathematical analysis but the discussions also offer insight into other areas such as Projection (linear algebra) and Distributed computing. While Applied mathematics is the focus of the most cited articles, it also provides insights into the studies of Mathematical optimization and Alternating direction implicit method.
The objective of the journal is to combine knowledge in the areas of Finite element method, Enstrophy, Energy (signal processing), Relaxation (physics) and Condensed matter physics. Most of the works presented in it deals with Finite element method but it intersects with the subject of Mathematical analysis.
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 International Journal of Numerical Analysis and Modeling (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 International Journal of Numerical Analysis and Modeling (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, 66.67% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 0.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 0.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 100.00% of all publications and 0.00% 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.
Minling Zheng;Fawang Liu;And Vo Anh
(2021)For those studying Mathematics in the USA, branching into related fields through online degrees can open diverse career opportunities. Many professionals leverage mathematical skills by pursuing specialized programs in areas like marketing, business, human resources, or healthcare. For instance, earning an ms in digital marketing degree cost usa offers a blend of analytical and creative skills, which is highly valued in today’s data-driven marketing landscape.
Similarly, a business-focused pathway is available via some of the cheapest 1 year online mba programs. These programs provide a fast-tracked approach for math graduates wanting to develop leadership and managerial expertise, enhancing career mobility.
Human resource management is another growing field where mathematical modeling and data analysis are increasingly important. Pursuing the best online human resource management masters degree can prepare candidates for strategic roles that rely on quantitative insights.
Lastly, a shift towards the healthcare sector is possible through high-quality nursing online programs, which integrate scientific knowledge and numeracy skills essential for patient care and medical research.