| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 278 | 22 | 48 | 10 |
Applied Stochastic Models in Business and Industry mainly deals with areas of study such as Econometrics, Statistics, Mathematical optimization, Bayesian probability and Applied mathematics. The Econometrics study featured in Applied Stochastic Models in Business and Industry draws parallels with the field of Markov chain Monte Carlo. It connects research in Statistics with the related topic of Control chart.
The main emphasis of Applied Stochastic Models in Business and Industry is the research on Bayesian probability, emphasizing the topic of Bayesian inference.
The most cited publications explore disciplines such as Econometrics, Statistics, Operations research, Reliability engineering and Mathematical optimization. The journal papers focus on Econometrics but the discussions also offer insight into other areas such as Random variable, Regression, Estimator, Multivariate statistics and Regression analysis. Control (management), Lee–Carter model and Applied mathematics are some topics wherein Statistics research discussed in the published papers has an impact.
The topics of Statistics, Applied mathematics, Reliability engineering, Mathematical optimization and Artificial intelligence are the focal point of discussions in the journal. The close relationship between Control chart and Algorithm is one of the points of interest dissected in Statistics research. The journal tackles research in Preventive maintenance as part of the general discipline of Reliability engineering, however, it also discusses concepts in Context (language use).
Mathematical optimization study tackled is connected to the field of Statistical hypothesis testing. The work on Artificial intelligence tackled in the journal brings together disciplines like Machine learning and Pattern recognition. The research on Multivariate statistics discussed in Applied Stochastic Models in Business and Industry draws on the closely related field of Econometrics.
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 Applied Stochastic Models in Business and Industry (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 Applied Stochastic Models in Business and Industry (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, 0.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 14.63% were posted by at least one author from the top 10 institutions publishing in the journal. Another 8.54% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 14.63% of all publications and 62.20% 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.
Luis Sánchez;Víctor Leiva;Manuel Galea;Helton Saulo;Helton Saulo
(2021)Serkan Eryilmaz;Cihangir Kan
(2021)Jorge Navarro;Franco Pellerey
(2021)Tahir Mahmood;Tahir Mahmood;Narayanaswamy Balakrishnan;Min Xie
(2021)Abdolsaeed Toomaj;Majid Chahkandi;Narayanaswamy Balakrishnan
(2021)Maxim Finkelstein;Ji Hwan Cha
(2021)Lata Kodali;Srijan Sengupta;Leanna House;William H. Woodall
(2020)Studying Mathematics in the USA opens doors to various interdisciplinary career options, especially when combined with business or administrative skills. Many students consider supplementing their math background with online degrees that enhance career prospects in management, analytics, or administration.
For those interested in leadership roles, pursuing one of the cheapest executive MBA programs online can be an affordable and flexible way to gain critical business expertise without interrupting their careers.
Alternatively, students seeking to develop strong organizational and operational skills may explore an office administration degree online. This qualification supports roles that require both analytical and administrative capabilities.
For a comprehensive business education, an online business administration degree complements mathematical skills, preparing graduates for diverse roles across industries. Additionally, professionals aiming for advanced credentials may find value in enrolling in an MBA no GRE program, which removes entrance exam barriers for streamlined admission.
Combining mathematics with these related online degrees offers a strategic advantage, equipping students with both quantitative and managerial expertise for today’s competitive job market.
