| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 514 | 13 | 16 | 5 |
Computational Mathematics and Mathematical Physics tackles a plethora of topics, such as Mathematical analysis, Boundary value problem, Applied mathematics, Mathematical optimization and Numerical analysis. Boundary (topology) and Nonlinear system are some topics wherein Mathematical analysis research discussed in Computational Mathematics and Mathematical Physics have an impact. In the Boundary value problem research discussed, Mixed boundary condition and Free boundary problem are all tackled.
While work presented in it provided substantial information on Applied mathematics, it also covered topics in Iterative method and Calculus.
The most cited articles investigate areas of study like Mathematical analysis, Mathematical optimization, Boundary value problem, Applied mathematics and Numerical analysis. The studies on Mathematical analysis discussed at the most cited publications can also contribute to research in the domains of Boundary (topology), Monotone polygon and Nonlinear system. The published articles hold forums on Boundary value problem that merge themes from other disciplines such as Hyperbolic partial differential equation and Mechanics.
The journal aims to foster the development of research in Applied mathematics, Mathematical analysis, Nonlinear system, Algorithm and Boundary value problem. The studies on Applied mathematics discussed can also contribute to research in the domains of Convergence (routing), Collocation method, Iterative method, Function (mathematics) and Convolution. Mathematical analysis research featured in the journal incorporates concerns from various other topics such as Boundary (topology) and Type (model theory).
Computational Mathematics and Mathematical Physics explores research in Eigenvalues and eigenvectors and overlapping concepts in Nonlinear medium and Electromagnetic radiation to expand the discourse in Nonlinear system. While Algorithm is the key highlight in the journal, it also covered some subjects on Matrix (mathematics) and Operator (computer programming) and Linear subspace. The research on Boundary value problem discussed in Computational Mathematics and Mathematical Physics draws on the closely related field of Ordinary differential equation.
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 Computational Mathematics and Mathematical Physics (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 Computational Mathematics and Mathematical Physics (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, 21.05% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 72.22% were posted by at least one author from the top 10 institutions publishing in the journal. Another 10.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 5.56% of all publications and 12.22% 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.
Fibay Urbain;N. A. Kudryashov;E. Tala-Tebue;Malwe Boudoue Hubert
(2021)J. Gusak;T. Daulbaev;E. Ponomarev;A. Cichocki
(2021)S. A. Matveev;S. A. Matveev;I. V. Oseledets;I. V. Oseledets;E. S. Ponomarev;A. V. Chertkov
(2021)A. I. Boyko;I. V. Oseledets;G. Ferrer
(2021)C. Brezinski;M. Redivo-Zaglia
(2021)I. V. Oseledets;I. V. Oseledets;P. V. Kharyuk;P. V. Kharyuk;P. V. Kharyuk
(2021)N. L. Zamarashkin;I. V. Oseledets;I. V. Oseledets;E. E. Tyrtyshnikov
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