0094-9000
Published by: American Mathematical Society
https://www.ams.org/publications/journals/journalsframework/tpms
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 562 | 17 | 19 | 4 |
Theory of Probability and Mathematical Statistics is organized to address concerns in the fields of Applied mathematics, Mathematical analysis, Statistics, Discrete mathematics and Mathematical optimization. Applied mathematics research featured in it incorporates concerns from various other topics such as Markov process, Mean squared error, Markov chain, Limit (mathematics) and Rate of convergence. Markov chain mixing time, Markov kernel, Markov property, Markov renewal process and Balance equation are among the areas of Markov chain tackled.
The Mathematical analysis works, particularly on Stochastic differential equation are tackled in the journal. Theory of Probability and Mathematical Statistics links adjacent topics like Stochastic differential equation with Stochastic partial differential equation. The featured Stochastic partial differential equation research zeroes in on concepts in Stochastic calculus but also tackles themes under Quantum stochastic calculus.
The journal investigates Statistics research which frequently intersects with Econometrics. The Fractional Brownian motion works featured in it incorporate elements from Reflected Brownian motion, Brownian excursion and Diffusion process. Asymptotic distribution is a major topic of Estimator research presented in the journal.
The most cited publications investigate studies in Applied mathematics, Mathematical analysis, Mean squared error, Mathematical optimization and Discrete mathematics. The published articles in Wiener process fall within the purview of Applied mathematics but it also intertwines with topics in Multivariate kernel density estimation. While the most cited publications focused on Mathematical analysis, they were also able to explore topics like Inverse function and Order statistic.
The journal facilitates discussions on Applied mathematics, Mathematical analysis, Stochastic partial differential equation, Asymptotic distribution and Limit (mathematics). The research on Applied mathematics tackled can also make contributions to studies in the areas of Heavy traffic approximation and Uniqueness. In Theory of Probability and Mathematical Statistics, Vibration, Jump and Telegraph process are investigated in conjunction with one another to address concerns in Mathematical analysis research.
The journal holds forums on Stochastic partial differential equation that merges themes from other disciplines such as Fractional Brownian motion, Heat equation, Tensor field and Unit sphere. Theory of Probability and Mathematical Statistics explores issues in Asymptotic distribution which can be linked to other research areas like Test (assessment), Linear hypothesis and Quantile, Econometrics. Issues in Limit (mathematics) were discussed, taking into consideration concepts from other disciplines like Uniform convergence, Event (particle physics), Random variable and Pure mathematics.
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 Theory of Probability and Mathematical Statistics (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 Theory of Probability and Mathematical Statistics (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, 2.50% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 53.85% were posted by at least one author from the top 10 institutions publishing in the journal. Another 10.26% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 7.69% of all publications and 28.21% 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.
Franco Flandoli;Francesco Grotto;Dejun Luo
(2021)V. V. Anh;A. Olenko;Y. G. Wang;Y. G. Wang
(2021)Ibrahima Dramé;Etienne Pardoux
(2021)Denis Bell;Raul Bolaños;David Nualart
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