0091-1798
Published by: Institute of Mathematical Statistics
https://imstat.org/journals-and-publications/annals-of-probability/
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 40 | 75 | 88 | 25 |
Annals of Probability investigates studies in Combinatorics, Mathematical analysis, Discrete mathematics, Random variable and Pure mathematics. In addition to Combinatorics research, it aims to explore topics under Probability theory, Distribution (mathematics), Central limit theorem, Sequence and Random walk. Central limit theorem and Convergence of random variables are closely related fields of research discussed in Annals of Probability.
Mathematical analysis research presented in Annals of Probability encompasses a variety of subjects, including Martingale (probability theory), Applied mathematics, Stochastic process, Brownian motion and Diffusion process. Many of the studies tackled connect Discrete mathematics with a similar field of study like Markov chain. The majority of Markov chain studies presented zero in on Markov kernel.
Topics like Independent and identically distributed random variables and Law of the iterated logarithm are tackled as part of the discussions on Random variable.
The journal publications aim to foster the development of research in Combinatorics, Mathematical analysis, Discrete mathematics, Random variable and Pure mathematics. Issues in Combinatorics were discussed in the journal papers, taking into consideration concepts from other disciplines like Probability theory, Distribution (mathematics), Central limit theorem, Markov chain and Random walk. The study of Mathematical analysis in the published articles encompasses disciplines such as Brownian motion, as well as fields such as Stochastic process, all of which overlap with one another.
The main research concerns discussed in the journal are Combinatorics, Mathematical analysis, Brownian motion, Random graph and Random walk. While work presented in it provided substantial information on Combinatorics, it also covered topics in Ball (mathematics) and Order (ring theory). The journal investigates Mathematical analysis research which frequently intersects with White noise.
The research on Brownian motion featured in Annals of Probability combines topics in other fields like Distribution (mathematics), Line (geometry), Hecke algebra and Differential equation. While Random graph is the focus of the journal, it also provided insights into the studies of Random variable, Spectrum (functional analysis) and Degree (graph theory), Degree distribution. Topics in Random walk explored in it were investigated in conjunction with research in Schramm–Loewner evolution, Type (model theory) and Planar graph.
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 Annals of 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 Annals of 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, 15.94% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 15.52% were posted by at least one author from the top 10 institutions publishing in the journal. Another 10.34% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 27.59% of all publications and 46.55% 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.
Viorel Barbu;Michael Röckner
(2020)Martin Hutzenthaler;Arnulf Jentzen
(2020)Unknown
(2021)Martin Hairer;Xue-Mei Li
(2020)Gérard Ben Arous;Reza Gheissari;Aukosh Jagannath
(2020)François Delarue;Daniel Lacker;Kavita Ramanan
(2020)Eero Saksman;Christian Webb
(2020)Ewain Gwynne;Jason Miller;Scott Sheffield
(2021)Erik Bates;Sourav Chatterjee
(2020)David Gamarnik;Aukosh Jagannath
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