1543-1649
Published by: Begell House
https://www.begellhouse.com/journals/multiscale-computational-engineering.html
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mechanical and Aerospace Engineering | 277 | 22 | 39 | 9 |
| Engineering and Technology | 891 | 17 | 29 | 9 |
The objective of the journal is to combine knowledge in the areas of Composite material, Homogenization (chemistry), Finite element method, Mechanics and Statistical physics. The Composite material research presented places emphasis on topics like Carbon nanotube, Nanocomposite and Microstructure. The presentations focused mostly on Finite element method in an attempt to further explore topics in Structural engineering.
Studies on Statistical physics discussed in International Journal for Multiscale Computational Engineering link to the field of Multiscale modeling.
The journal articles investigate studies in Homogenization (chemistry), Statistical physics, Finite element method, Structural engineering and Mechanics. Research in Homogenization (chemistry) tackled in falls within the umbrella of Composite material. In addition to Statistical physics research, the journal papers aim to explore topics under Molecular dynamics, Plasticity, Embedding, Continuum (measurement) and Classical mechanics.
The scientific interests tackled in International Journal for Multiscale Computational Engineering are Systems engineering, Multiscale modeling, Finite element method, Computational science and Micromechanics. In addition to Systems engineering, International Journal for Multiscale Computational Engineering tackled discussion on research areas like Altair, Advanced materials and Science and engineering. The concepts on Finite element method presented in it can also apply to other research fields, including Pedicle screw fixation and Applied mathematics.
Computational science research featured in it incorporates concerns from various other topics such as MATLAB, Matlab code and Open source. While work presented in it provided substantial information on Micromechanics, it also covered topics in Homogenization (chemistry), Stiffness and Microscale chemistry. Stiffness research presented falls under the umbrella topic of Composite material.
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 for Multiscale Computational Engineering (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 for Multiscale Computational Engineering (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, 40.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 25.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 0.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 25.00% 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.
Paulo B. Lourenco;Luís C. Silva
(2020)Nicholas Fantuzzi;Patrizia Trovalusci;R. Luciano
(2020)Corrado Chisari;Lorenzo Macorini;Bassam A. Izzuddin
(2020)Aurora Angela Pisano;Paolo Fuschi;Castrenze Polizzotto
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