| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 596 | 10 | 11 | 4 |
The journal focuses on Applied mathematics, Stochastic differential equation, Econometrics, Uniqueness and Mathematical optimization. The studies in Applied mathematics featured incorporate elements of Affine transformation, Class (set theory), Space (mathematics) and Nonlinear system. It addresses concerns in Stochastic differential equation which are intertwined with other disciplines, such as Stochastic partial differential equation, Partial differential equation and Stochastic control, Optimal control.
While work presented in Probability, Uncertainty and Quantitative Risk provided substantial information on Partial differential equation, it also covered topics in Zero (complex analysis) and Artificial neural network, Deep learning, Artificial intelligence. The overlapping concepts between Maximum principle and Dynamical system, Local martingale, Domain (mathematical analysis) and Continuous-time stochastic process are the key highlights of Stochastic control study. Some problems in Optimal control that were presented in the journal overlapped with concepts under Stochastic process, Penalty method and Riccati equation.
The journal facilitates discussions on Econometrics that incorporate concepts from other fields like Price level, Actuarial science, Portfolio and Coherent risk measure. The research on Uniqueness featured in it combines topics in other fields like Volterra integral equation, Monotonic function, Hamilton–Jacobi–Bellman equation and Comparison theorem. In particular, the Mathematical optimization works presented emphasize discussions on Linear-quadratic-Gaussian control.
The published articles aim to foster the development of research in Stochastic differential equation, Applied mathematics, Partial differential equation, Stochastic partial differential equation and Optimal control. The journal papers hold forums on Stochastic differential equation that merge themes from other disciplines such as Stochastic control and Mathematical optimization. The most cited publications facilitate discussions on Applied mathematics that incorporate concepts from other fields like Artificial neural network, Deep learning and Zero (complex analysis).
Probability, Uncertainty and Quantitative Risk mostly deals with topics like Sublinear function, Applied mathematics, Stochastic differential equation, Statistics and Law of large numbers. Applied mathematics research featured in Probability, Uncertainty and Quantitative Risk incorporates concerns from various other topics such as Domain (mathematical analysis) and Nonlinear system. The presented Nonlinear system research focuses mostly on Partial differential equation and, on occasion, topics in G-expectation.
The journal tackles research works in Stochastic differential equation as well as Fully coupled. The study of Distribution (number theory) and how it intertwines with concepts under Unbiased Estimation, Statistical theory and Estimator were explored in the presented Statistics research. Convexity research presented in Probability, Uncertainty and Quantitative Risk encompasses a variety of subjects, including Maximum principle, Stochastic control, Optimal control, Dynamical system and Local martingale.
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, Uncertainty and Quantitative Risk (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, Uncertainty and Quantitative Risk (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, 100.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, nan% were posted by at least one author from the top 10 institutions publishing in the journal. Another nan% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included nan% of all publications and nan% 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.
Samuel Drapeau;Peng Luo;Alexander Schied;Dewen Xiong
(2021)Jonathan Ansari;Ludger Rüschendorf
(2020)Rainer Buckdahn;Christian Keller;Jin Ma;Jianfeng Zhang
(2020)Pursuing a degree in Mathematics opens doors to diverse career paths, and many students choose to complement their mathematical foundation with specialized studies. For instance, an ms in digital marketing degree cost usa offers a blend of analytical skills with marketing strategies, ideal for data-driven marketing roles.
If you're considering leadership and business management alongside Mathematics, exploring 1 year mba programs in usa can be a strategic move. These condensed programs provide a quick path to gaining essential management expertise without pausing your career for long.
For those interested in people management and organizational behavior, an best online master degree in human resource management can be a natural extension. This degree complements analytical skills with human-centric approaches crucial in various industries.
Additionally, some Mathematics graduates pivot to healthcare sectors where data analysis is critical. Pursuing an online nursing degree equips professionals with medical knowledge combined with quantitative skills, enhancing their role in evidence-based patient care.
Exploring these related online degrees broadens career possibilities and allows Mathematics graduates to tailor their expertise to in-demand industries.
