0021-9002
Published by: Cambridge University Press
https://www.cambridge.org/core/journals/journal-of-applied-probability
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 334 | 33 | 47 | 8 |
Journal of Applied Probability covers a variety of subjects, including Combinatorics, Applied mathematics, Discrete mathematics, Markov chain and Mathematical analysis. The concepts on Combinatorics presented in Journal of Applied Probability can also apply to other research fields, including Probability theory, Random variable, Distribution (mathematics), Sequence and Random walk. Research on Probability theory addressed in the journal frequently intersections with the field of Probability distribution.
The journal centers on topics in Random variable, with a focus on Independent and identically distributed random variables. Applied mathematics research featured in Journal of Applied Probability incorporates concerns from various other topics such as Poisson distribution, Stochastic process, Statistics and Calculus. Topics in Discrete mathematics explored in it were investigated in conjunction with research in Queue and Queueing theory.
Journal of Applied Probability focuses on Queue as well as the interrelated topic of Mathematical optimization. The in-depth study on Markov chain also explores topics in the intersecting field of Markov process. Most of the Mathematical analysis studies addressed also intersect with Brownian motion.
The journal publications mostly deal with topics like Combinatorics, Applied mathematics, Discrete mathematics, Mathematical analysis and Queue. Aside from discussions in Combinatorics, the published papers also deal with the subject of Markov chain which intersects with Markov process disciplines. The most cited papers address concerns in Applied mathematics which are intertwined with other disciplines, such as Poisson distribution, Statistics, Probability theory and Calculus.
Journal of Applied Probability focuses on Applied mathematics, Markov chain, Random walk, Pure mathematics and Combinatorics. Issues in Applied mathematics were discussed, taking into consideration concepts from other disciplines like Distribution (mathematics), Limit (mathematics), Independent and identically distributed random variables, Asymptotic analysis and Gaussian. In addition to Markov chain research, Journal of Applied Probability aims to explore topics under Convergence (routing), Mixing (mathematics), Stability (probability), Matching (graph theory) and Stochastic matching.
Cover (topology), Representation (mathematics), Heavy-tailed distribution and Hybrid Monte Carlo are some topics wherein Random walk research discussed in Journal of Applied Probability have an impact. The tackled Pure mathematics research is interrelated with Class (set theory) which concerns subjects like Renewal theory, Self-similarity and Hypergeometric distribution. The work on Combinatorics tackled in the journal brings together disciplines like Covariance matrix, Sum of normally distributed random variables, Random variable and Distribution (number 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 Journal 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 Journal 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, 31.91% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 12.50% were posted by at least one author from the top 10 institutions publishing in the journal. Another 9.38% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 15.62% of all publications and 62.50% 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.
Dang Hai Nguyen;Nhu Ngoc Nguyen;George Yin
(2020)Onno J. Boxma;Andreas Löpker;Michel Mandjes
(2020)Jorge Navarro;Juan Fernández-Sánchez
(2020)Jesper Møller;Eliza O'Reilly
(2021)Antar Bandyopadhyay;Svante Janson;Debleena Thacker
(2020)Claudia Klüppelberg;Miriam Isabel Seifert
(2020)Kerry W. Fendick;Ward Whitt
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French Institute for Research in Computer Science and Automation - INRIA
Publications: 2
