0895-4798
Published by: Society for Industrial and Applied Mathematics
https://www.siam.org/publications/journals/siam-journal-on-matrix-analysis-and-applications-simax
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 96 | 65 | 138 | 18 |
The journal generally zeroes in on subjects such as Combinatorics, Matrix (mathematics), Applied mathematics, Eigenvalues and eigenvectors and Mathematical analysis. While work presented in SIAM Journal on Matrix Analysis and Applications provided substantial information on Combinatorics, it also covered topics in Discrete mathematics, Positive-definite matrix, Linear algebra, Symmetric matrix and Hermitian matrix. The studies in Matrix (mathematics) featured incorporate elements of Algorithm, Pure mathematics and Rank (linear algebra).
Algorithm and Sparse matrix are closely related fields of research discussed in the journal. The study on Sparse matrix presented in the journal intersects with subjects under the field of Factorization. SIAM Journal on Matrix Analysis and Applications connects the study in Rank (linear algebra) with the closely related area of Singular value decomposition.
The journal explores issues in Applied mathematics which can be linked to other research areas like Iterative method, Linear system, Mathematical optimization, Krylov subspace and Numerical analysis. The concepts on Eigenvalues and eigenvectors presented in SIAM Journal on Matrix Analysis and Applications can also apply to other research fields, including Singular value and Lambda. The majority of Algebra studies presented zero in on Toeplitz matrix.
The journal papers investigate areas of study like Combinatorics, Matrix (mathematics), Applied mathematics, Eigenvalues and eigenvectors and Mathematical analysis. Discrete mathematics, Positive-definite matrix, Singular value decomposition, Linear algebra and Rank (linear algebra) are some topics wherein Combinatorics research discussed in the journal articles has an impact. The published papers focus on Matrix (mathematics) but the discussions also offer insight into other areas such as Algorithm and Preconditioner.
The journal facilitates discussions on Applied mathematics, Matrix (mathematics), Combinatorics, Rank (linear algebra) and Linear system. SIAM Journal on Matrix Analysis and Applications facilitates discussions on Applied mathematics that incorporate concepts from other fields like Block matrix, Minification, Convergence (routing), Multigrid method and Eigenvalues and eigenvectors. Topics in Eigenvalues and eigenvectors explored in the journal were investigated in conjunction with research in Krylov subspace, Mathematical analysis, Implicit function theorem, Transformation (function) and Nonlinear system.
Issues in Matrix (mathematics) were discussed, taking into consideration concepts from other disciplines like Algorithm, Semidefinite programming, Passivity and Descriptor systems. Non-negative matrix factorization, Tensor, Simple (abstract algebra), LU decomposition and Least squares are some topics wherein Combinatorics research discussed in the journal have an impact. It focuses on Rank (linear algebra) but the discussions also offer insight into other areas such as Computation, Numerical linear algebra and Matrix multiplication.
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 Matrix Analysis 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 SIAM Journal on Matrix Analysis 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, 86.67% 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 12.50% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 25.00% of all publications and 37.50% 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.
Estelle M. Massart;Pierre-Antoine Absil
(2020)Andreas Frommer;Kathryn Lund;Daniel B. Szyld
(2020)ZhiGang Jia;Michael K. Ng
(2021)Dmitry Batenkov;Laurent Demanet;Gil Goldman;Yosef Yomdin
(2020)Robert M. Gower;Denali Molitor;Jacob D. Moorman;Deanna Needell
(2021)Eric Cancès;Gaspard Kemlin;Antoine Levitt
(2021)Maolin Che;Yimin Wei;Hong Yan
(2020)Volker Mehrmann;Paul M. Van Dooren
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