0167-7152
Published by: Elsevier
https://www.journals.elsevier.com/statistics-and-probability-letters
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 259 | 58 | 87 | 10 |
The journal focuses on Statistics, Applied mathematics, Combinatorics, Mathematical analysis and Probability theory. It features Statistics research that overlaps with concepts in Econometrics. Statistics & Probability Letters holds forums on Applied mathematics that merges themes from other disciplines such as Mathematical optimization, Markov chain, Autoregressive model, Rate of convergence and Calculus.
The journal explores issues in Combinatorics which can be linked to other research areas like Discrete mathematics, Random variable, Distribution (mathematics), Central limit theorem and Sequence. While work presented in Statistics & Probability Letters provided substantial information on Mathematical analysis, it also covered topics in Pure mathematics and Brownian motion. The research on Probability theory discussed in Statistics & Probability Letters draws on the closely related field of Probability distribution.
Some problems in Estimator that were presented in it overlapped with concepts under Mean squared error and Estimation theory.
The published papers facilitate discussions on Statistics, Applied mathematics, Mathematical analysis, Probability theory and Combinatorics. Most of the works presented in the journal papers deal with Statistics but they intersect with the subject of Econometrics. While work presented in the most cited articles provide substantial information on Combinatorics, it also covers topics in Discrete mathematics, Sequence, Random variable and Distribution function.
The discussions in the journal mainly cover the fields of Constant (mathematics), Applied mathematics, Random variable, Mathematical analysis and Multivariate statistics. The Applied mathematics study presented in it encompasses related topics like Renewal equation and also examines its connection to subjects such as Context (language use). The Random variable works featured in the journal incorporate elements from Combinatorics, Poisson distribution, Distribution (mathematics), Identifiability and Pattern recognition.
The research on Mathematical analysis tackled can also make contributions to studies in the areas of Function (mathematics), Estimator and Eigenvalues and eigenvectors. Statistics & Probability Letters deals with Estimator in conjunction with Differential equation and similar fields in Lipschitz continuity. The studies on Multivariate statistics discussed can also contribute to research in the domains of Cube, Markov chain, Copula (linguistics), Algorithm and Mixing (physics).
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 Statistics & Probability Letters (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 Statistics & Probability Letters (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 2022 edition, 18.18% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 16.67% were posted by at least one author from the top 10 institutions publishing in the journal. Another 5.56% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 5.56% of all publications and 72.22% 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.
Arzu Ahmadova;Nazim I. Mahmudov
(2021)Cyrus J. DiCiccio;Thomas J. DiCiccio;Joseph P. Romano
(2020)Jianbin Chen;Rahul Mukerjee;Dennis K.J. Lin
(2020)Narayanaswamy Balakrishnan;Francesco Buono;Maria Longobardi
(2022)Omid Kharazmi;Narayanaswamy Balakrishnan
(2021)Minwoo Chae;Stephen G. Walker
(2020)Svante Janson
(2021)Shige Peng;Quan Zhou
(2020)Florence Merlevède;Magda Peligrad
(2020)Ahmed Arafat;Pablo Gregori;Emilio Porcu
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