| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 347 | 27 | 30 | 8 |
| Engineering and Technology | 1098 | 18 | 22 | 6 |
Mathematical & Computational Applications tackles a plethora of topics, such as Mathematical analysis, Nonlinear system, Applied mathematics, Mathematical optimization and Mechanics. Mathematical & Computational Applications explores research in Mathematical analysis and the adjacent study of Vibration.
The published papers are organized to address concerns in the fields of Mathematical analysis, Nonlinear system, Vibration, Classical mechanics and Differential equation. The most cited publications dive deep in exploring the relationship between the study of Mathematical analysis and Perturbation (astronomy). While Nonlinear system is the key highlight in the published articles, thet also covered some subjects on Applied mathematics and Characteristic equation and MATLAB.
The journal mainly tackles studies in Applied mathematics, Mathematical optimization, Function (mathematics), Algorithm and Optimization problem. Issues in Applied mathematics were discussed, taking into consideration concepts from other disciplines like Initial value problem, Boundary (topology), Ordinary differential equation, Numerical analysis and Finite difference method. The work on Mathematical optimization tackled in the journal brings together disciplines like Layer (object-oriented design) and Set (abstract data type).
It focuses on Function (mathematics) but sometimes tackles the closely related disciplines such as
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 Mathematical & Computational Applications (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 Mathematical & Computational Applications (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, 92.42% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 0.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 60.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 20.00% of all publications and 20.00% 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.
Kalyanmoy Deb;Proteek Chandan Roy;Rayan Hussein
(2020)Muhammad Akram;Danish Saleem;Talal Al-Hawary
(2020)Muhammad Akram;Shumaiza;José Carlos R. Alcantud
(2020)Aliyu Muhammed Awwal;Lin Wang;Poom Kumam;Hassan Mohammad
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