0304-4149
Published by: Elsevier
https://www.journals.elsevier.com/stochastic-processes-and-their-applications
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 72 | 89 | 147 | 20 |
Stochastic Processes and their Applications tackles a plethora of topics, such as Mathematical analysis, Applied mathematics, Stochastic process, Combinatorics and Discrete mathematics. The Mathematical analysis works featured in the journal incorporate elements from Pure mathematics and Brownian motion. While work presented in Stochastic Processes and their Applications provided substantial information on Applied mathematics, it also covered topics in Statistics, Central limit theorem, Markov process, Estimator and Mathematical optimization.
The studies on Stochastic process discussed can also contribute to research in the domains of Martingale (probability theory), Lévy process and Calculus. Local martingale is a major topic of Martingale (probability theory) research presented in it. While Combinatorics is the focus of Stochastic Processes and their Applications, it also provided insights into the studies of Random variable, Distribution (mathematics), Limit (mathematics), Markov chain and Random walk.
As a part of it, discussions in Markov chain involve topics like Markov kernel, Markov property and Markov chain mixing time. Random walk research is concerned with Heterogeneous random walk in one dimension in particular. The study on Stochastic differential equation presented in it intersects with the topics under Differential equation.
The published articles investigate studies in Mathematical analysis, Stochastic process, Applied mathematics, Combinatorics and Stochastic differential equation. While Mathematical analysis is the focus of the published papers, it also provides insights into the studies of Pure mathematics and Brownian motion. The study of Stochastic process in the most cited publications encompasses disciplines such as Gaussian process, as well as fields such as Fractional Brownian motion, all of which overlap with one another.
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 Stochastic Processes and their Applications (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 Stochastic Processes and their Applications (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, 4.79% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 10.07% were posted by at least one author from the top 10 institutions publishing in the journal. Another 10.79% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 23.74% of all publications and 55.40% 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.
Jingyu Huang;David Nualart;Lauri Viitasaari
(2020)Renhai Wang;Bixiang Wang
(2020)François Delarue;Rinel Foguen Tchuendom
(2020)Pengcheng Xia;Longjie Xie;Xicheng Zhang;Guohuan Zhao
(2020)Dang H. Nguyen;Nhu N. Nguyen;George Yin
(2020)Jianbo Cui;Jialin Hong;Liying Sun
(2021)Miryana Grigorova;Peter Imkeller;Youssef Ouknine;Marie-Claire Quenez
(2020)Tomasz Grzywny;Kyung-Youn Kim;Panki Kim
(2020)Jialin Hong;Chuying Huang;Minoo Kamrani;Xu Wang
(2020)N.V. Krylov
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