1081-3810
Published by: International Linear Algebra Society
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 433 | 26 | 40 | 6 |
Combinatorics, Matrix (mathematics), Discrete mathematics, Pure mathematics and Eigenvalues and eigenvectors are the subjects of interest in the journal. The journal focuses on Combinatorics but the discussions also offer insight into other areas such as Upper and lower bounds, Spectral radius and Nonnegative matrix. The work on Matrix (mathematics) tackled in the journal brings together disciplines like Inverse and Rank (linear algebra).
Discrete mathematics studies presented in Electronic Journal of Linear Algebra focus on topics such as Laplacian matrix and Line graph. Algebraic connectivity is a focus of the presented Laplacian matrix works and it dives deep in Algebraic connectivity. Research on Pure mathematics addressed in it frequently intersections with the field of Mathematical analysis.
The study on Eigenvalues and eigenvectors presented is investigated in conjunction with research in Hermitian matrix. More specifically, the research on Graph in the journal is related to Signless laplacian. The in-depth study on Adjacency matrix also explores topics in the intersecting field of Graph energy.
The journal publications primarily tackle Combinatorics, Matrix (mathematics), Discrete mathematics, Eigenvalues and eigenvectors and Pure mathematics. The journal articles address concerns in Combinatorics which are intertwined with other disciplines, such as Spectral radius, Order (group theory) and Nonnegative matrix. The most cited articles explore research in Matrix (mathematics) alongside concepts in Inverse and other areas of study in Characterization (mathematics).
The primary areas of discussion in Electronic Journal of Linear Algebra are Combinatorics, Matrix (mathematics), Eigenvalues and eigenvectors, Pure mathematics and Linear algebra. Combinatorics research is the primary subject tackled in Electronic Journal of Linear Algebra with a focus on Conjecture. While Electronic Journal of Linear Algebra focused on Matrix (mathematics), it was also able to explore topics like Inverse and Monomial basis.
In Electronic Journal of Linear Algebra, Zhàng, Mathematical economics, Bipartite graph and Inequality are investigated in conjunction with one another to address concerns in Eigenvalues and eigenvectors research. The research on Pure mathematics tackled can also make contributions to studies in the areas of Canonical form and Linear combination. It explores research in Characteristic polynomial and overlapping concepts in Companion matrix, Hessenberg matrix and Nilpotent matrix to expand the discourse in 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 Electronic Journal of Linear 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 Electronic Journal of Linear 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, 2.56% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 10.53% were posted by at least one author from the top 10 institutions publishing in the journal. Another 13.16% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 21.05% of all publications and 55.26% 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.
Kazumasa Nomura;Paul Terwilliger
(2021)Boris Brimkov;Ken Duna;Leslie Hogben;Kate Lorenzen
(2020)Yu Chan;Emelie Curl;Jesse Geneson;Leslie Hogben
(2020)Jun Ji;Yimin Wei
(2020)Yanna Wang;Bo Zhou
(2020)Peter Lancaster;Ion Zaballa
(2021)Chi-Kwong Li;Gilbert Strang
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