Siberian Mathematical Journal

Top Research Topics at Siberian Mathematical Journal?

Siberian Mathematical Journal was organized to reinforce research efforts on Pure mathematics, Mathematical analysis, Discrete mathematics, Combinatorics and Algebra. The work on Pure mathematics addressed in the journal expands to the thematically related Class (set theory). The concepts on Mathematical analysis presented in Siberian Mathematical Journal can also apply to other research fields, including Applied mathematics and Nonlinear system.

Free boundary problem and Mixed boundary condition are all aspects of Boundary value problem research featured in it.

• Pure mathematics (32.38%)
• Mathematical analysis (31.87%)
• Discrete mathematics (17.12%)

What are the most cited papers published in the journal?

• n-Lie algebras (404 citations)
• Weak convergence of completely additive vector functions on a set (172 citations)
• On existence of global solutions to the two-dimensional Navier-Stokes equations for a compressible viscous fluid (172 citations)

Research areas of the most cited articles at Siberian Mathematical Journal:

The journal articles investigate studies in Mathematical analysis, Pure mathematics, Discrete mathematics, Algebra and Combinatorics. While work presented in the journal articles provide substantial information on Mathematical analysis, it also covers topics in Boundary (topology) and Nonlinear system. The published papers explore research in Pure mathematics and the adjacent study of Class (set theory).

What topics the last edition of the journal is best known for?

• Mathematical analysis
• Algebra
• Geometry

The previous edition focused in particular on these issues:

Siberian Mathematical Journal aims to foster the development of research in Combinatorics, Pure mathematics, Applied mathematics, Group (mathematics) and Mathematical analysis. The tackled Combinatorics research is interrelated with Sigma which concerns subjects like Partition (number theory). Aside from discussions in Pure mathematics, it also deals with the subject of Space (mathematics) which intersects with Analytic function disciplines.

It explores issues in Applied mathematics which can be linked to other research areas like Inverse problem, Boundary (topology), Differential equation, Infinity and Variable (mathematics). The Differential equation works featured in Siberian Mathematical Journal incorporate elements from Class (set theory) and Exponential stability, Nonlinear system. The research on Group (mathematics) tackled can also make contributions to studies in the areas of Function (mathematics) and Rank (graph theory).

The most cited articles from the last journal are:

• Radon Transform on Sobolev Spaces (1 citations)
• Extensions of Semigroups and Morphisms of Semigroup $ C^{*} $ -Algebras (1 citations)
• On Characterization of Simple Orthogonal Groups of Odd Dimension in the Class of Periodic Groups (1 citations)

Papers citation over time

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.

Top authors and change over time

The top authors publishing in Siberian Mathematical Journal (based on the number of publications) are:

• Yu. G. Reshetnyak (46 papers) absent at the last edition,
• Semen S. Kutateladze (36 papers) absent at the last edition,
• I. A. Shvedov (30 papers) absent at the last edition,
• V. I. Kuz'minov (30 papers) absent at the last edition,
• Gennadii Demidenko (27 papers) absent at the last edition.

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.

Top affiliations and change over time

Only papers with recognized affiliations are considered

The top affiliations publishing in Siberian Mathematical Journal (based on the number of publications) are:

• Novosibirsk State University (323 papers) published 10 papers at the last edition, 9 less than at the previous edition,
• Kazan Federal University (49 papers) published 2 papers at the last edition, 3 less than at the previous edition,
• Siberian Federal University (48 papers) published 2 papers at the last edition,
• Novosibirsk State Technical University (46 papers) published 2 papers at the last edition, 3 less than at the previous edition,
• Russian Academy of Sciences (36 papers) published 2 papers at the last edition, 1 less than at the previous edition.

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.

Publication chance based on affiliation

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, 35.71% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 38.89% were posted by at least one author from the top 10 institutions publishing in the journal. Another 11.11% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 18.52% of all publications and 31.48% were from other institutions.

Returning Authors Index

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.

Returning Institution Index

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.

The experience to innovation index

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:

• Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
• Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
• Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
• Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
• Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.