| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 676 | 8 | 9 | 3 |
The journal was organized to reinforce research efforts on Applied mathematics, Mathematical analysis, Estimator, Combinatorics and Statistics. The journal explores topics in Applied mathematics which can be helpful for research in disciplines like Markov process, Mathematical optimization, Markov chain, Asymptotic distribution and Function (mathematics). Topics in Mathematical analysis were tackled in line with various other fields like Fractional Brownian motion, Brownian motion, Central limit theorem and Pure mathematics.
While Esaim: Probability and Statistics focused on Estimator, it was also able to explore topics like Rate of convergence, Model selection, Nonparametric statistics and Minimax. While Combinatorics is the focus of Esaim: Probability and Statistics, it also provided insights into the studies of Discrete mathematics, Large deviations theory, Random variable, Distribution (mathematics) and Sequence.
The main points discussed in the journal publications deal with Applied mathematics, Mathematical analysis, Mathematical optimization, Combinatorics and Estimator. While the most cited articles focused on Applied mathematics, they were also able to explore topics like Statistics, Markov process, Markov chain and Bounded function. Lévy process, Pure mathematics, Brownian motion, Central limit theorem and Eigenvalues and eigenvectors are some topics wherein Mathematical analysis research discussed in the published articles has an impact.
Esaim: Probability and Statistics investigates studies in Applied mathematics, Bounded function, Estimator, Work (thermodynamics) and Exponential family. Aside from research in Applied mathematics, it also discusses Stein's method studies. In it, Kernel regression, Central limit theorem, Variable (mathematics) and Kernel method are investigated in conjunction with one another to address concerns in Bounded function research.
The journal facilitates discussions on Estimator that incorporate concepts from other fields like Probability density function, Point process, Poisson point process, Stochastic geometry and Convex hull. It features Self-similarity research that overlaps with concepts in Mathematical analysis. Mathematical analysis research presented in Esaim: Probability and Statistics encompasses a variety of subjects, including Fractional Brownian motion and Hurst exponent.
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 Esaim: Probability and 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 Esaim: Probability and 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, 13.33% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 23.08% were posted by at least one author from the top 10 institutions publishing in the journal. Another 15.38% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 15.38% of all publications and 46.15% 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.
Nikita Puchkin;Vladimir Spokoiny;Vladimir Spokoiny
(2020)Benoît Collins;Sushma Kumari;Vladimir G. Pestov;Vladimir G. Pestov
(2020)Andreas Basse-O’Connor;Thorbjørn Grønbæk;Mark Podolskij
(2021)Etienne Pardoux;Brice Samegni-Kepgnou
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French Institute for Research in Computer Science and Automation - INRIA
Publications: 1
