| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 80 | 90 | 109 | 19 |
The journal covers a variety of subjects, including Mathematical finance, Mathematical analysis, Combinatorics, Discrete mathematics and Probability theory. Probability Theory and Related Fields facilitates the exploration of Mathematical finance in relation to the fields of Applied mathematics, Pure mathematics, Calculus, Mathematical economics and Mathematical optimization. Probability Theory and Related Fields holds forums on Mathematical analysis that merges themes from other disciplines such as Martingale (probability theory), Diffusion process and Brownian motion.
Topics in Combinatorics were tackled in line with various other fields like Random variable, Distribution (mathematics), Central limit theorem, Markov chain and Random walk. Markov renewal process and Markov model are all areas of Markov chain tackled in it. The featured Markov renewal process study falls within the wider topic of Markov property.
Probability Theory and Related Fields is concerned with the study of Markov property and Markov process in general. The journal focuses on Discrete mathematics research which is adjacent to topics in Convergence of random variables. Probability theory and Stochastic process are closely related fields of research discussed in the journal.
The most cited publications mainly deal with areas of study such as Mathematical analysis, Combinatorics, Mathematical finance, Probability theory and Discrete mathematics. While work presented in the most cited articles provide substantial information on Mathematical analysis, it also covers topics in Pure mathematics and Brownian motion. While Combinatorics is the focus of the most cited papers, it also provides insights into the studies of Random variable, Distribution (mathematics), Central limit theorem, Limit (mathematics) and Random walk.
Combinatorics, Mathematical finance, Random walk, Limit (mathematics) and Mathematical analysis are among the topics commonly tackled in Probability Theory and Related Fields. While Combinatorics is the focus of it, it also provided insights into the studies of Sequence and Random variable. The journal explores issues in Random walk which can be linked to other research areas like Conductance, Group (mathematics), Degenerate energy levels and Ergodic theory.
While Probability Theory and Related Fields focused on Limit (mathematics), it was also able to explore topics like Discrete mathematics, Poisson distribution, Measure (mathematics), Applied mathematics and Nonlinear system. Concepts in Boundary (topology), as well as related topics in Boundary value problem and Ising model, are covered in the Mathematical analysis research presented in the journal. The concepts on Brownian motion presented in Probability Theory and Related Fields can also apply to other research fields, including Martingale (probability theory), Markov process, Multiplicative function, Interpretation (model theory) and Coupling (probability).
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 Probability Theory and Related Fields (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 Probability Theory and Related Fields (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, 4.88% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 19.23% were posted by at least one author from the top 10 institutions publishing in the journal. Another 14.10% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 23.08% of all publications and 43.59% 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.
Franco Flandoli;Dejun Luo
(2021)Jason Miller;Scott Sheffield
(2021)Massimiliano Gubinelli;Nicolas Perkowski
(2020)Alexander Dunlap;Yu Gu;Lenya Ryzhik;Ofer Zeitouni;Ofer Zeitouni
(2020)Ronen Eldan;Frederic Koehler;Ofer Zeitouni
(2021)Allan Sly;Nike Sun;Yumeng Zhang
(2021)Ivan Nourdin;David Nualart
(2020)David Gamarnik;Aukosh Jagannath;Subhabrata Sen
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