| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 205 | 42 | 91 | 12 |
Linear & Multilinear Algebra primarily focuses on research topics in Combinatorics, Pure mathematics, Discrete mathematics, Matrix (mathematics) and Algebra. While work presented in the journal provided substantial information on Combinatorics, it also covered topics in Eigenvalues and eigenvectors, Nonnegative matrix and Rank (linear algebra). The Pure mathematics works featured in the journal incorporate elements from Inverse and Mathematical analysis.
Numerical range is a primary topic of Mathematical analysis research in Linear & Multilinear Algebra. Presentations on Matrix (mathematics) include those discussing Matrix analysis and Integer matrix.
The published papers investigate studies in Combinatorics, Discrete mathematics, Pure mathematics, Matrix (mathematics) and Algebra. The published articles deal with Combinatorics in conjunction with Eigenvalues and eigenvectors and similar fields in Positive-definite matrix. The study of Pure mathematics in the most cited articles encompasses disciplines such as Mathematical analysis, as well as fields such as Applied mathematics, all of which overlap with one another.
Linear & Multilinear Algebra investigates studies in Pure mathematics, Combinatorics, Matrix (mathematics), Eigenvalues and eigenvectors and Algebra. The journal explores topics in Pure mathematics which can be helpful for research in disciplines like Order (group theory) and Inequality. The work on Combinatorics tackled in Linear & Multilinear Algebra brings together disciplines like Spectral radius and Rank (linear algebra).
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 & Multilinear Algebra (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 & Multilinear Algebra (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, 8.60% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 8.24% were posted by at least one author from the top 10 institutions publishing in the journal. Another 6.18% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 13.82% of all publications and 71.76% 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.
Predrag S. Stanimirović;Miroslav Ćirić;Vasilios N. Katsikis;Chaoqian Li
(2020)Watheq Bani-Domi;Fuad Kittaneh
(2021)Hongying Lin;Haiyan Guo;Bo Zhou
(2020)Qing-Wen Wang;Xiangjian Xu;Xiangjian Xu;Xuefeng Duan;Xuefeng Duan
(2021)Yassine Bedrani;Fuad Kittaneh;Mohammed Sababheh
(2021)Huihui Zhu;Qing-Wen Wang
(2020)Ole Christensen;Somantika Datta;Rae Young Kim
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