1083-589X
Published by: Institute of Mathematical Statistics
https://imstat.org/journals-and-publications/electronic-communications-in-probability/
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 329 | 35 | 42 | 8 |
Electronic Communications in Probability mostly deals with topics like Combinatorics, Mathematical analysis, Discrete mathematics, Pure mathematics and Random walk. Combinatorics research presented in it encompasses a variety of subjects, including Upper and lower bounds, Random matrix and Random variable. Research on Random matrix addressed in the journal frequently intersections with the field of Matrix (mathematics).
Some problems in Mathematical analysis that were presented in the journal overlapped with concepts under Fractional Brownian motion, Brownian motion, Brownian excursion and Applied mathematics. Fractional Brownian motion study tackled is connected to the field of Geometric Brownian motion. The study on Brownian motion presented is investigated in conjunction with research in Diffusion process.
Electronic Communications in Probability connects the study in Discrete mathematics with the closely related area of Markov chain. Random walk works presented in Electronic Communications in Probability have a specific focus on Heterogeneous random walk in one dimension.
The published articles aim to foster the development of research in Combinatorics, Discrete mathematics, Mathematical analysis, Pure mathematics and Brownian motion. Issues in Combinatorics were discussed in the most cited papers, taking into consideration concepts from other disciplines like Random matrix, Distribution (mathematics), Markov chain, Exponential function and Random walk. While Discrete mathematics is the focus of the most cited publications, it also provides insights into the studies of Almost surely and Simple (abstract algebra).
The foci of Electronic Communications in Probability are Combinatorics, Applied mathematics, Random walk, Discrete mathematics and Brownian motion. The journal explores topics in Combinatorics which can be helpful for research in disciplines like Tree (data structure), Upper and lower bounds and Random variable. While work presented in the journal provided substantial information on Applied mathematics, it also covered topics in Poisson distribution, Optimal stopping and Markov chain.
The Random walk study presented in the journal encompasses related topics like Random environment and also examines its connection to subjects such as Diffusion (acoustics). The journal focuses on Discrete mathematics but the discussions also offer insight into other areas such as Bounded function, Wasserstein metric, Curse of dimensionality and Self-avoiding walk. Some problems in Brownian motion that were presented in Electronic Communications in Probability overlapped with concepts under Stochastic differential equation, Mathematical analysis, Limit (mathematics) and Structure (category theory).
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 Electronic Communications in Probability (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 Electronic Communications in Probability (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, 7.14% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 21.15% were posted by at least one author from the top 10 institutions publishing in the journal. Another 7.69% 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 55.77% 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.
Rick Durrett;Matthew Junge;Si Tang
(2020)Ugo Boscain;Robert W. Neel
(2020)Krzysztof Burdzy;Jim Pitman
(2020)Giulio Biroli;Alice Guionnet
(2020)David Nualart;Guangqu Zheng
(2020)Xiangying Huang;Rick Durrett
(2020)Patrik L. Ferrari;Bálint Vető
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