0036-1429
Published by: Society for Industrial and Applied Mathematics
https://www.siam.org/publications/journals/siam-journal-on-numerical-analysis-sinum
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 30 | 139 | 218 | 26 |
The foci of the journal are Mathematical analysis, Applied mathematics, Finite element method, Numerical analysis and Partial differential equation. The journal addresses concerns in Mathematical analysis which are intertwined with other disciplines, such as Rate of convergence and Galerkin method, Nonlinear system. The journal facilitates discussions on Applied mathematics that incorporate concepts from other fields like Iterative method, Mathematical optimization, Estimator and Calculus.
While Finite element method is the focus of SIAM Journal on Numerical Analysis, it also provided insights into the studies of Norm (mathematics), Geometry and Elliptic curve. Numerical analysis study tackled is connected to the field of Differential equation. The Boundary value problem works, particularly on Mixed boundary condition are tackled in SIAM Journal on Numerical Analysis.
The study on Mixed finite element method presented in it intersects with the topics under Extended finite element method.
The journal papers facilitate discussions on Mathematical analysis, Finite element method, Applied mathematics, Numerical analysis and Partial differential equation. The most cited papers address concerns in Mathematical analysis which are intertwined with other disciplines, such as Discontinuous Galerkin method and Galerkin method, Nonlinear system. While Numerical analysis is the focus of the journal papers, it also provides insights into the studies of Rate of convergence and Differential equation.
The journal was organized to reinforce research efforts on Applied mathematics, Mathematical analysis, Finite element method, Error analysis and Order (group theory). It addresses concerns in the field of Applied mathematics by exploring it in line with topics in Energy (signal processing) which intersect with Order (ring theory) subjects. The works on Mathematical analysis deal in particular with Numerical analysis.
It links adjacent topics like Numerical analysis with Class (set theory). Finite element method research presented in it encompasses a variety of subjects, including Fractional Laplacian, Polygon mesh, Eigenvalues and eigenvectors and Stability (probability). In addition to Order (group theory) research, the journal aims to explore topics under Mixed finite element method and Nonlinear system.
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 SIAM Journal on 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 SIAM Journal on 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, 88.24% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 25.00% 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 33.33% of all publications and 41.67% 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.
René Carmona;Mathieu Laurière
(2021)Hong-lin Liao;Tao Tang;Tao Zhou
(2020)Côme Huré;Huyên Pham;Achref Bachouch;Nicolas Langrené
(2021)Neil K. Chada;Andrew M. Stuart;Xin T. Tong
(2020)Xiaoli Li;Jie Shen
(2020)Wei Bian;Xiaojun Chen
(2020)Changtao Sheng;Jie Shen;Tao Tang;Li-Lian Wang
(2020)Xiu Ye;Shangyou Zhang
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French Institute for Research in Computer Science and Automation - INRIA
Publications: 3