1050-5164
Published by: Institute of Mathematical Statistics
https://imstat.org/journals-and-publications/annals-of-applied-probability/
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 46 | 90 | 131 | 24 |
The journal explores disciplines such as Combinatorics, Applied mathematics, Discrete mathematics, Mathematical analysis and Mathematical optimization. The journal addresses concerns in Combinatorics which are intertwined with other disciplines, such as Limit (mathematics), Distribution (mathematics), Random walk and Random variable. It explores issues in Applied mathematics which can be linked to other research areas like Convergence (routing), Central limit theorem, Markov chain and Estimator.
While Markov chain is the focus of it, it also provided insights into the studies of Markov process and Markov chain Monte Carlo. Annals of Applied Probability links adjacent topics like Mathematical analysis with Brownian motion. The journal facilitates discussions on Mathematical optimization that incorporate concepts from other fields like Queue and Queueing theory.
The most cited articles focus largely on the fields of Combinatorics, Applied mathematics, Mathematical optimization, Discrete mathematics and Mathematical analysis. While Combinatorics is the focus of the most cited papers, it also provides insights into the studies of Distribution (mathematics), Central limit theorem, Markov chain and Random variable. The studies on Discrete mathematics discussed at the most cited articles can also contribute to research in the domains of Random walk and Coupling (probability).
Annals of Applied Probability primarily tackles Applied mathematics, Combinatorics, Central limit theorem, Mathematical analysis and Pure mathematics. Stochastic differential equation is a major topic of Applied mathematics research presented in Annals of Applied Probability. The work on Combinatorics tackled in the journal brings together disciplines like Poisson point process and Coupling (probability).
While Annals of Applied Probability focused on Central limit theorem, it was also able to explore topics like Coupling from the past, Ergodicity, Dense graph, Combinatorial optimization and Stein's method. Mathematical analysis research is the primary subject tackled in it with a focus on Limit (mathematics). The study of Pure mathematics encompasses disciplines such as Poisson distribution, as well as fields such as Linear combination, Characterization (mathematics), Stationary distribution, Upper and lower bounds and Total variation, all of which overlap with one another.
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 Applied 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 Applied 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, 1.67% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 20.34% were posted by at least one author from the top 10 institutions publishing in the journal. Another 15.25% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 23.73% of all publications and 40.68% 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.
Wei Fang;Michael B. Giles
(2020)Christophe Andrieu;Alain Durmus;Nikolas Nüsken;Julien Roussel
(2021)T. De Angelis;G. Peskir
(2020)Cong Wu;Jianfeng Zhang
(2020)Alain Durmus;Arnaud Guillin;Pierre Monmarché
(2020)Zhao Dong;Jiang-Lun Wu;Rangrang Zhang;Tusheng Zhang
(2020)Nina Holden;Russell Lyons
(2020)For students studying Mathematics in the USA, pursuing related online degrees can enhance career prospects across various fields. For those interested in leadership roles, exploring affordable management options is crucial. Programs focusing on online executive MBA cost provide valuable insights into budget-friendly pathways to executive education.
Alternatively, students aiming for administrative roles can consider the administrative assistant associate degree. This credential opens doors to essential support positions in various industries, complementing strong analytical skills developed through Mathematics.
For those interested in the intersection of math and business, the best online business degree programs offer comprehensive training in business principles while allowing flexibility to apply quantitative expertise. This pathway is ideal for students seeking a blend of theory and practical application.
Finally, many students look for flexible postgraduate options, such as mba online programs that don’t require GMAT or GRE scores. These programs provide advanced knowledge and career advancement opportunities without additional standardized test barriers, making them highly accessible for working professionals.
