| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Materials Science | 421 | 102 | 133 | 15 |
| Engineering and Technology | 944 | 19 | 27 | 8 |
Modelling and Simulation in Materials Science and Engineering explores disciplines such as Composite material, Crystallography, Molecular dynamics, Condensed matter physics and Mechanics. Research on Composite material addressed in the journal frequently intersections with the field of Metallurgy. Topics like Dislocation and Grain boundary are tackled as part of the discussions on Crystallography.
Modelling and Simulation in Materials Science and Engineering holds forums on Dislocation that merges themes from other disciplines such as Slip (materials science) and Plasticity. More specifically, the research on Grain boundary in Modelling and Simulation in Materials Science and Engineering is related to Grain boundary strengthening. The studies on Molecular dynamics discussed can also contribute to research in the domains of Chemical physics, Atom, Statistical physics and Thermodynamics.
The journal focuses on Thermodynamics as well as the interrelated topic of Phase (matter). The journal addresses concerns in Mechanics which are intertwined with other disciplines, such as Finite element method and Classical mechanics.
Crystallography, Mechanics, Composite material, Finite element method and Dislocation are the main subjects of interest in the journal articles. The journal publications address concerns in Crystallography which are intertwined with other disciplines, such as Condensed matter physics and Nucleation. The most cited papers focus on Dislocation but the discussions also offer insight into other areas such as Boundary value problem, Classical mechanics and Deformation (engineering).
The topics of Composite material, Molecular dynamics, Condensed matter physics, Thermodynamics and Dislocation are the focal point of discussions in the journal. The journal investigates Composite material research which frequently intersects with Constitutive equation. Modelling and Simulation in Materials Science and Engineering explores topics in Molecular dynamics which can be helpful for research in disciplines like Chemical physics, Crystal, Graphene and Copper.
It facilitates discussions on Condensed matter physics that incorporate concepts from other fields like Symmetry (physics) and Grain boundary. While Thermodynamics is the focus of Modelling and Simulation in Materials Science and Engineering, it also provided insights into the studies of Amorphous metal, Precipitation (chemistry), High entropy alloys and Kinetic energy. The work on Dislocation tackled in it brings together disciplines like Slip (materials science), Plasticity, Boundary value problem and Superalloy.
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 Modelling and Simulation in Materials Science and 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 Modelling and Simulation in Materials Science and 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, 70.09% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 12.50% were posted by at least one author from the top 10 institutions publishing in the journal. Another 3.12% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 15.62% of all publications and 68.75% 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.
Erik van der Giessen;Peter A. Schultz;Nicolas Bertin;Vasily V. Bulatov
(2020)Sergio Lucarini;Manas Vijay Upadhyay;Javier Segurado
(2021)J G Pauza;W A Tayon;A D Rollett
(2021)Wu-Rong Jian;Min Zhang;Shuozhi Xu;Irene J. Beyerlein
(2020)Sepideh Kavousi;Brian R Novak;Michael I Baskes;Michael I Baskes;Mohsen Asle Zaeem
(2020)Kazuma Ito;Kazuma Ito;Hideaki Sawada;Shingo Tanaka;Shigenobu Ogata;Shigenobu Ogata
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