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Published by: Cambridge University Press
https://www.cambridge.org/core/journals/advances-in-applied-probability
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 351 | 25 | 31 | 8 |
Advances in Applied Probability tackles a plethora of topics, such as Combinatorics, Applied mathematics, Discrete mathematics, Mathematical analysis and Markov chain. The journal explores issues in Combinatorics which can be linked to other research areas like Random variable, Poisson distribution, Distribution (mathematics), Limit (mathematics) and Sequence. Research on Poisson distribution addressed in the journal frequently intersections with the field of Point process.
While Advances in Applied Probability focused on Applied mathematics, it was also able to explore topics like Queueing theory and Mathematical optimization. Advances in Applied Probability links adjacent topics like Discrete mathematics with Queue. Mathematical analysis study tackled is connected to the field of Brownian motion.
Markov chain research featured in it incorporates concerns from various other topics such as Statistical physics and Markov process.
The most cited papers are organized to reinforce research efforts on Applied mathematics, Combinatorics, Mathematical analysis, Discrete mathematics and Markov chain. The most cited publications with studies in Applied mathematics featured incorporate elements of Poisson distribution, Statistics, Queueing theory, Markov process and Queue. While Combinatorics is the focus of the journal publications, it also provides insights into the studies of Random variable, Independent and identically distributed random variables, Voronoi diagram, Limit (mathematics) and Random walk.
Applied mathematics, Statistical physics, Markov chain, Limit (mathematics) and Class (set theory) are the subjects of interest in the journal. The Applied mathematics works featured in it incorporate elements from Process (computing), Optimal stopping, Monte Carlo method, Variance reduction and Rate function. While Statistical physics is the focus of it, it also provided insights into the studies of Convergence (routing), Point process, Random environment and Set (abstract data type).
While it focused on Markov chain, it was also able to explore topics like Geometric Brownian motion, Uniqueness, Fluid queue and Pure mathematics. Aside from discussions in Fluid limit, Advances in Applied Probability also deals with the subject of Markov process which intersects with Mathematical optimization disciplines. The concepts on Central limit theorem presented in it can also apply to other research fields, including Stochastic process and Mathematical analysis.
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 Advances in 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 Advances in 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, 39.29% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 17.65% were posted by at least one author from the top 10 institutions publishing in the journal. Another 11.76% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 35.29% of all publications and 35.29% 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.
Johan Segers
(2020)Vytautė Pilipauskaitė;Viktor Skorniakov;Donatas Surgailis
(2020)Axel Finke;Arnaud Doucet;Adam M. Johansen
(2020)He Yi;Narayanaswamy Balakrishnan;Lirong Cui
(2020)Krzysztof Burdzy;Soumik Pal
(2021)Jeffrey Negrea;Jeffrey S. Rosenthal
(2021)Remco van der Hofstad;Júlia Komjáthy;Viktória Vadon
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