| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 752 | 5 | 9 | 2 |
The concepts of Applied mathematics, Statistics, Mathematical optimization, Algorithm and Artificial intelligence are tackled in the journal. It addresses concerns in Applied mathematics which are intertwined with other disciplines, such as Mean squared error, Estimator, Weibull distribution, Distribution (number theory) and Function (mathematics). The research on Mean squared error featured in it combines topics in other fields like Sequence and Minimax.
Most of the Minimax studies addressed also intersect with Optimal estimation. The Statistics study featured in it draws connections with the study of Distribution (mathematics). The Mathematical optimization study featured in Statistics, Optimization and Information Computing draws parallels with the field of Convergence (routing).
In addition to Artificial intelligence research, it aims to explore topics under Machine learning and Pattern recognition.
The journal papers facilitate discussions on Applied mathematics, Algorithm, Sequence, Minimax and Mean squared error. While Applied mathematics is the focus of the journal publications, it also provides insights into the studies of Optimal control, Transmission (telecommunications), Sensitivity (control systems), Control variable and Order (group theory). Issues in Algorithm were discussed in the published articles, taking into consideration concepts from other disciplines like Convergence (routing), Logistic regression and Cross-validation.
The journal is mainly concerned with subjects like Applied mathematics, Weibull distribution, Econometrics, Type (model theory) and Bayesian probability. Studies in Applied mathematics and Discrete Chebyshev polynomials are the key highlights in Statistics, Optimization and Information Computing. The subject of Bivariate analysis, which is connected to the field of Bayesian inference and Marginal distribution, serves as the foundation of the Weibull distribution research featured in the journal.
Topics in Econometrics were tackled in line with various other fields like Financial engineering and Sentiment analysis. It facilitates discussions on Type (model theory) that incorporate concepts from other fields like Linear programming, Path (graph theory), Point (geometry) and Interior point method. While the primary focus in it is Bayes estimator, it also dissects topics surrounding Lomax distribution and Algorithm as a whole.
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 Statistics, Optimization and Information Computing (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 Statistics, Optimization and Information Computing (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, 52.94% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 31.25% were posted by at least one author from the top 10 institutions publishing in the journal. Another 6.25% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 31.25% of all publications and 31.25% 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.
Dariush Jamali;Mehdi Amiri;Ahad Jamalizadeh;N. Balakrishnan
(2020)Emrah Altun Ea;Morad Alizadeh;Thiago Ramires;Edwin Ortega
(2021)Nasser Sweilam;S. M. AL-Mekhlafi;A. O. Albalawi
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