0168-874X
Published by: Elsevier
https://www.journals.elsevier.com/finite-elements-in-analysis-and-design
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mechanical and Aerospace Engineering | 175 | 53 | 75 | 15 |
| Engineering and Technology | 525 | 33 | 46 | 16 |
Finite element method, Structural engineering, Mathematical analysis, Geometry and Numerical analysis are among the topics commonly tackled in Finite Elements in Analysis and Design. The majority of Finite element method studies presented zero in on Mixed finite element method. It tackles studies in Extended finite element method and the interrelated subject of Smoothed finite element method to gain insights into Mixed finite element method.
The research on Structural engineering tackled can also make contributions to studies in the areas of Vibration and Stress (mechanics), Composite material. Finite Elements in Analysis and Design explores research in Mathematical analysis and the adjacent study of Classical mechanics. Discussions in Finite Elements in Analysis and Design are anchored in the subject of Geometry and the similar topic of Quadrilateral.
Research in Mesh generation and the interrelating topic of Polygon mesh were among the subjects of interest in the Algorithm studies discussed in Finite Elements in Analysis and Design. The Applied mathematics study featured in it draws parallels with the field of Mathematical optimization. The study on Nonlinear system presented is investigated in conjunction with research in Constitutive equation.
The published articles cover a variety of subjects, including Finite element method, Structural engineering, Mathematical analysis, Numerical analysis and Algorithm. The journal articles focus on Finite element method but sometimes tackle the closely related topic of Geometry which is concerned with Quadrilateral. The works on Structural engineering tackled in the most cited papers bring together disciplines like Vibration and Composite material, Shell (structure).
The main points discussed in the journal deals with Finite element method, Computer simulation, Topology optimization, Reduction (mathematics) and Network architecture. In it, researchers investigate the Finite element method study as part of research in the field of Structural engineering. Computer simulation research featured in it incorporates concerns from various other topics such as Canonical ensemble, Statistical physics, Lattice (module), Thermostat and Coupling.
The studies in Topology optimization featured incorporate elements of Displacement (vector), Soundproofing, Sound transmission class, Biot number and Absorption (acoustics). The studies on Reduction (mathematics) discussed can also contribute to research in the domains of Sheet metal, Mechanical engineering, Deep drawing and Multiphysics. The journal aims to bridge the gap between the study of Network architecture and disciplines such as Subroutine, Robustness (computer science), Numerical analysis, Test case and Artificial neural network.
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 Finite Elements in Analysis and Design (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 Finite Elements in Analysis and Design (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, 0.00% 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 12.50% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 12.50% of all publications and 75.00% 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.
Yiming Zhang;Junguang Huang;Yong Yuan;Herbert A. Mang
(2021)Hao Li;Takayuki Yamada;Pierre Jolivet;Kozo Furuta
(2021)Hau T. Mai;Joowon Kang;Jaehong Lee
(2021)Gourav Agrawal;Abhinav Gupta;Rajib Chowdhury;Anupam Chakrabarti
(2022)Yunzhen He;Kun Cai;Zi-Long Zhao;Yi Min Xie
(2020)Aurélien Doitrand;Eric Martin;Dominique Leguillon
(2020)Hongxin Wang;Jie Liu;Guilin Wen;Guilin Wen;Yi Min Xie
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