| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 662 | 10 | 15 | 3 |
| Computer Science | 862 | 9 | 8 | 5 |
| Engineering and Technology | 917 | 29 | 41 | 8 |
The journal primarily tackles Mathematical analysis, Finite element method, Applied mathematics, Structural engineering and Mechanics. International Journal of Computational Methods explores research in Mathematical analysis and the adjacent study of Nonlinear system. While Finite element method is the focus of it, it also provided insights into the studies of Algorithm and Geometry.
The studies tackled, which mainly focus on Applied mathematics, apply to Mathematical optimization as well. The journal focuses on Mechanics research which is adjacent to topics in Classical mechanics. The research on Smoothed finite element method discussed in the journal draws on the closely related field of Smoothing.
The most cited papers mostly deal with topics like Mathematical analysis, Finite element method, Numerical analysis, Structural engineering and Smoothed finite element method. While work presented in the most cited articles provide substantial information on Mathematical analysis, it also covers topics in Method of fundamental solutions and Galerkin method. In addition to Finite element method research, the most cited articles aim to explore topics under Discretization, Geometry, Classification of discontinuities and Applied mathematics.
The journal primarily focuses on research topics in Finite element method, Mathematical analysis, Applied mathematics, Mechanics and Nonlinear system. It investigates Finite element method research which frequently intersects with Fracture (geology). In particular, the Mathematical analysis works presented emphasize discussions on Numerical analysis.
While International Journal of Computational Methods focused on Applied mathematics, it was also able to explore topics like Convection–diffusion equation and Order (group theory). The studies on Mechanics discussed can also contribute to research in the domains of Field (physics), Thermal conduction and Deformation (meteorology).
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 International Journal of Computational Methods (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 International Journal of Computational Methods (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, 6.38% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 23.48% were posted by at least one author from the top 10 institutions publishing in the journal. Another 12.88% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 13.64% of all publications and 50.00% 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.
Jie Gao;Jie Gao;Hao Li;Zhen Luo;Liang Gao
(2020)Hamid Ghasemi;Harold S. Park;Naif Alajlan;Timon Rabczuk;Timon Rabczuk
(2020)Mingyang Liu;Guangjun Gao;Huifen Zhu;Chen Jiang
(2021)Xuewei Liu;Xuewei Liu;Quansheng Liu;Jun He;Fangzheng Yu
(2020)Musawenkhosi P. Mkhatshwa;Sandile S. Motsa;Sandile S. Motsa;Precious Sibanda
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