0024-3795
Published by: Elsevier
https://www.journals.elsevier.com/linear-algebra-and-its-applications
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 127 | 104 | 221 | 15 |
The objective of Linear Algebra and its Applications is to combine knowledge in the areas of Combinatorics, Discrete mathematics, Matrix (mathematics), Pure mathematics and Eigenvalues and eigenvectors. Combinatorics research is concerned with Graph in particular. The research on Discrete mathematics discussed in it draws on the closely related field of Graph theory.
The journal facilitates discussions on Matrix (mathematics) that incorporate concepts from other fields like Invertible matrix and Rank (linear algebra). Linear Algebra and its Applications explores topics in Pure mathematics which can be helpful for research in disciplines like Mathematical analysis and Algebra. The journal focused on Mathematical analysis research but expanded to cover Applied mathematics.
The Eigenvalues and eigenvectors study tackled is a key component of adjacent topics in the area of Hermitian matrix.
The most cited papers focus largely on the fields of Combinatorics, Discrete mathematics, Matrix (mathematics), Pure mathematics and Eigenvalues and eigenvectors. The journal articles hold forums on Combinatorics that merge themes from other disciplines such as Positive-definite matrix and Upper and lower bounds. The works on Matrix (mathematics) tackled in the most cited papers bring together disciplines like Mathematical analysis, Applied mathematics and Rank (linear algebra).
The journal is mainly concerned with subjects like Combinatorics, Eigenvalues and eigenvectors, Pure mathematics, Matrix (mathematics) and Class (set theory). Topics in Combinatorics were tackled in line with various other fields like Ring (mathematics) and Matrix ring. It explores issues in Eigenvalues and eigenvectors which can be linked to other research areas like Positive-definite matrix, Symmetric matrix, Adjacency list and Interval (mathematics).
Linear Algebra and its Applications focuses on Pure mathematics but the discussions also offer insight into other areas such as Interlacing and Type (model theory). Matrix (mathematics) research presented in the journal encompasses a variety of subjects, including Invertible matrix, Unimodular matrix, Tournament, Characterization (mathematics) and Function (mathematics). The Class (set theory) works featured in it incorporate elements from Isometry, Unit (ring theory), Banach space, Property (philosophy) and Classical orthogonal polynomials.
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 Linear Algebra and its 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 Linear Algebra and its 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 2022 edition, 33.33% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 20.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 20.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 20.00% of all publications and 40.00% 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.
Yun Miao;Liqun Qi;Yimin Wei
(2020)Bojan Mohar
(2020)Dan Wang;Wei Chen;Sei Zhen Khong;Li Qiu
(2020)Johannes Hertrich;Sebastian Neumayer;Gabriele Steidl
(2021)Willem H. Haemers
(2021)Christian Mehl;Volker Mehrmann;Michal Wojtylak
(2021)Roger A. Horn;Zai Yang
(2020)Suvrit Sra
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