Russian Mathematical Surveys

Top Research Topics at Russian Mathematical Surveys?

The journal mainly deals with areas of study such as Pure mathematics, Mathematical analysis, Algebra, Discrete mathematics and Combinatorics. The work on Mathematical analysis presented in Russian Mathematical Surveys focuses on Boundary value problem in particular.

• Pure mathematics (30.69%)
• Mathematical analysis (21.46%)
• Algebra (13.85%)

What are the most cited papers published in the journal?

• CHARACTERISTIC LYAPUNOV EXPONENTS AND SMOOTH ERGODIC THEORY (1201 citations)
• SMALL DENOMINATORS AND PROBLEMS OF STABILITY OF MOTION IN CLASSICAL AND CELESTIAL MECHANICS (922 citations)
• Quantum computations: algorithms and error correction (904 citations)

Research areas of the most cited articles at Russian Mathematical Surveys:

The journal publications primarily focus on research topics in Mathematical analysis, Pure mathematics, Algebra, Discrete mathematics and Mathematical physics. The study on Mathematical analysis presented in the most cited articles is investigated in conjunction with research in Boundary (topology). The most cited publications explore topics in Pure mathematics which can be helpful for research in disciplines like Operator (computer programming) and Group (mathematics).

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

• Quantum mechanics
• Mathematical analysis
• Algebra

The previous edition focused in particular on these issues:

The primary areas of discussion in the journal are Pure mathematics, Mathematical physics, Algebra, Combinatorics and Quadratic equation. Pure mathematics research presented in the journal encompasses a variety of subjects, including Convergence (routing), Harmonic analysis and Differential equation. The Mathematical physics study featured in the journal draws connections with the study of Degenerate energy levels.

While Algebra is the focus of the journal, it also provided insights into the studies of Minimal model program, Algebra over a field and Mathematical logic. Type (model theory), Separation of variables and Law of large numbers are some topics wherein Combinatorics research discussed in the journal have an impact. It facilitates discussions on Quadratic equation that incorporate concepts from other fields like Invariant (mathematics), Linear system, Quantization (signal processing) and Hilbert space.

The most cited articles from the last journal are:

• On the tensor rank of multiplication in finite extensions of finite fields and related issues in algebraic geometry (3 citations)
• Equivariant minimal model program (2 citations)
• Landau–Ginzburg models of complete intersections in Lagrangian Grassmannians (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 Russian Mathematical Surveys (based on the number of publications) are:

• S. P. Novikov (74 papers) absent at the last edition,
• Sergei M Nikol'skii (66 papers) absent at the last edition,
• Vladimir I. Arnold (50 papers) absent at the last edition,
• Yakov G. Sinai (48 papers) absent at the last edition,
• Vasilii S Vladimirov (36 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 Russian Mathematical Surveys (based on the number of publications) are:

• Moscow State University (428 papers) absent at the last edition,
• Russian Academy of Sciences (356 papers) published 5 papers at the last edition, 1 less than at the previous edition,
• Landau Institute for Theoretical Physics (52 papers) absent at the last edition,
• National Research University – Higher School of Economics (51 papers) published 5 papers at the last edition the same number as at the previous edition,
• Independent University of Moscow (23 papers) published 1 paper 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, 59.26% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 72.73% were posted by at least one author from the top 10 institutions publishing in the journal. Another 0.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 0.00% of all publications and 27.27% 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.