| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 530 | 9 | 15 | 5 |
The journal is mainly concerned with subjects like Applied mathematics, Estimator, Mathematical optimization, Asymptotic distribution and Statistics. Statistical Inference for Stochastic Processes addresses concerns in Applied mathematics which are intertwined with other disciplines, such as Ergodic theory, Estimation theory, Nonparametric statistics and Ornstein–Uhlenbeck process. Ergodic theory research discussed connects with the study of Diffusion (business).
While work presented in Statistical Inference for Stochastic Processes provided substantial information on Estimator, it also covered topics in Rate of convergence, Fractional Brownian motion, Mathematical analysis and Gaussian process. The Fractional Brownian motion study which was featured in the journal aims to expound on the research in Brownian motion. The work on Mathematical analysis tackled in the journal brings together disciplines like Diffusion process and Central limit theorem.
Discussions in it are anchored in the subject of Mathematical optimization and the similar topic of Stochastic process. Asymptotic distribution research presented in it encompasses a variety of subjects, including Consistency (statistics) and Autoregressive model. Statistical Inference for Stochastic Processes focuses on Statistics as well as the interrelated topic of Combinatorics.
The most cited articles aim to foster the development of research in Applied mathematics, Mathematical optimization, Estimator, Asymptotic distribution and Statistics. The journal publications with studies in Applied mathematics featured incorporate elements of Ergodic theory, Estimation theory, Central limit theorem and Fractional Brownian motion. While the most cited papers focused on Estimator, they were also able to explore topics like Econometrics, Limit (mathematics) and STAR model.
The journal primarily focuses on research topics in Applied mathematics, Estimator, Ergodic theory, Asymptotic distribution and Statistical physics. The main emphasis of the journal is the subject of Applied mathematics, focusing on Stationary process. Issues in Estimator were discussed, taking into consideration concepts from other disciplines like Discrete mathematics, Fractional Brownian motion, Wiener process and Interval (mathematics).
It facilitates discussions on Ergodic theory that incorporate concepts from other fields like Discretization, Rate of convergence and Diffusion process. Asymptotic distribution research featured in Statistical Inference for Stochastic Processes incorporates concerns from various other topics such as Martingale (probability theory), Statistical inference, Autoregressive model, Consistent estimator and Spectral density estimation. The concepts on Statistical physics presented in it can also apply to other research fields, including Spherical harmonics, Diffusion (business) and Identification (information).
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 Statistical Inference for Stochastic Processes (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 Statistical Inference for Stochastic Processes (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, 17.65% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 42.86% were posted by at least one author from the top 10 institutions publishing in the journal. Another 14.29% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 21.43% of all publications and 21.43% 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.
Yiying Cheng;Yaozhong Hu;Hongwei Long
(2020)El Mehdi Haress;Yaozhong Hu
(2021)Mathias Mørck Ljungdahl;Mark Podolskij
(2020)Ciprian A. Tudor;Nakahiro Yoshida
(2020)A.V. Ivanov;N.N. Leonenko;I.V. Orlovskyi
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