| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 210 | 37 | 70 | 12 |
The journal facilitates discussions on Statistics, Applied mathematics, Estimator, Econometrics and Monte Carlo method. Journal of Statistical Computation and Simulation primarily discusses Statistics topics, particularly Sample size determination, Confidence interval, Regression analysis, Statistical hypothesis testing and Mean squared error. Many of the studies tackled connect Applied mathematics with a similar field of study like Mathematical optimization.
The Mathematical optimization study featured in the journal draws parallels with the field of Algorithm. It features Estimator research that overlaps with concepts in Linear regression.
The most cited papers mainly tackle studies in Statistics, Applied mathematics, Estimator, Econometrics and Mathematical optimization. The Statistics study tackled in the journal papers is a key component of adjacent topics in the area of Control chart. The most cited publications focus on Mathematical optimization but sometimes tackle the closely related topic of Algorithm which is concerned with Markov chain.
The scientific interests tackled in Journal of Statistical Computation and Simulation are Statistics, Applied mathematics, Estimator, Bayesian probability and Artificial intelligence. Topics like Maximum likelihood, Multivariate statistics, Regression analysis, Confidence interval and Monte Carlo method are tackled as part of the discussions on Statistics. Some problems in Applied mathematics that were presented in the journal overlapped with concepts under Function (mathematics), Inverse and Distribution (number theory).
Estimator research featured in Journal of Statistical Computation and Simulation incorporates concerns from various other topics such as Multicollinearity and Regression. Topics in Artificial intelligence explored in the journal were investigated in conjunction with research in Machine learning and Pattern recognition.
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 Statistical Computation and Simulation (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 Statistical Computation and Simulation (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, 6.95% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 10.79% were posted by at least one author from the top 10 institutions publishing in the journal. Another 5.39% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 10.37% of all publications and 73.44% 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.
Paul-Christian Bürkner;Jonah Gabry;Aki Vehtari
(2020)Samrad Jafarian-Namin;Mohammad Saber Fallahnezhad;Reza Tavakkoli-Moghaddam;Ali Salmasnia
(2021)Xuelong Hu;Philippe Castagliola;Jianlan Zhong;Anan Tang
(2021)Maryam Keshavarz;Shervin Asadzadeh;Seyed Taghi Akhavan Niaki
(2021)Mohammed A. Meraou;Noriah M. Al-Kandari;Mohammad Z. Raqab;Debasis Kundu
(2021)Hamed Sabahno;Philippe Castagliola;Amirhossein Amiri
(2020)Qi Zhang;Jing Xu;Jianxin Zhao;Hua Liang
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