0377-0427
Published by: Elsevier
https://www.journals.elsevier.com/journal-of-computational-and-applied-mathematics
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 14 | 210 | 478 | 33 |
| Engineering and Technology | 408 | 69 | 124 | 19 |
Journal of Computational and Applied Mathematics was organized to reinforce research efforts on Mathematical analysis, Applied mathematics, Numerical analysis, Mathematical optimization and Nonlinear system. Issues in Mathematical analysis were discussed, taking into consideration concepts from other disciplines like Finite element method and Pure mathematics. The majority of Finite element method studies in the journal are focused on the subject of Mixed finite element method.
Orthogonal polynomials is a primary topic of Pure mathematics research in Journal of Computational and Applied Mathematics. Gegenbauer polynomials and Hahn polynomials are all topics related to Orthogonal polynomials research discussed. It explores studies in Gegenbauer polynomials as part of the wider topic of Classical orthogonal polynomials.
It holds forums on Applied mathematics that merges themes from other disciplines such as Convergence (routing), Rate of convergence, Iterative method, Discretization and Calculus. Topics in Numerical analysis were tackled in line with various other fields like Algorithm and Geometry.
The most cited papers investigate studies in Mathematical analysis, Numerical analysis, Applied mathematics, Differential equation and Mathematical optimization. Mathematical analysis study tackled in the journal papers is connected to the field of Nonlinear system. While the primary focus in the published papers is Numerical analysis, they also dissect topics surrounding Iterative method and Linear system as a whole.
The foci of the journal are Applied mathematics, Convergence (routing), Mathematical analysis, Nonlinear system and Discretization. In addition to Applied mathematics research, it aims to explore topics under Finite element method, Stability (probability), Energy (signal processing), Rate of convergence and Numerical analysis. It deals with Convergence (routing) in conjunction with Polygon mesh and similar fields in Maximum principle.
In particular, the Mathematical analysis works presented emphasize discussions on Boundary value problem. Research in Algorithm and the interrelating topic of Cluster analysis and Linear system were among the subjects of interest in the Nonlinear system studies discussed in Journal of Computational and Applied Mathematics. The studies in Discretization featured incorporate elements of Preconditioner and Laplace operator.
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 Computational and Applied Mathematics (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 Computational and Applied Mathematics (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 2022 edition, 12.39% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 7.07% were posted by at least one author from the top 10 institutions publishing in the journal. Another 6.06% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 14.14% of all publications and 72.73% 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.
Feng Ding;Feng Ding;Feng Ding;Ling Xu;Dandan Meng;Xue-Bo Jin
(2020)Lan-Lan Huang;Ju H. Park;Guo-Cheng Wu;Zhi-Wen Mo
(2020)Remco van der Meer;Cornelis W. Oosterlee;Anastasia Borovykh
(2020)Jing-Hua Yang;Xi-Le Zhao;Tian-Hui Ma;Yong Chen
(2020)Tai-Xiang Jiang;Tai-Xiang Jiang;Ting-Zhu Huang;Xi-Le Zhao;Liang-Jian Deng
(2020)Unknown
(2020)Unknown
(2022)Studying Computer Science in the USA opens doors to some of the most lucrative majors, offering strong earning potential right after graduation. Many students look for cost-effective options, and finding one of the least expensive online bachelor's degree programs can make a significant difference in managing education expenses.
Additionally, several top-tier colleges offer quality programs with no extra application cost, making it easier for prospective students to apply. Exploring no application fee universities can help reduce upfront barriers to entry.
For those eager to enter the workforce sooner, fast track college degree options provide accelerated pathways without compromising education quality. Combining these opportunities allows students to tailor their education to fit both their career goals and personal circumstances efficiently.