| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Materials Science | 198 | 489 | 723 | 37 |
| Chemistry | 406 | 147 | 193 | 19 |
The primary areas of discussion in the journal are Composite material, Condensed matter physics, Molecular dynamics, Density functional theory and Finite element method. Composite material study tackled is connected to the field of Metallurgy. The Condensed matter physics study featured in it draws connections with the study of Crystallography.
Dislocation and Grain boundary are some of the facets of Crystallography tackled in Computational Materials Science. Topics in Molecular dynamics explored in it were investigated in conjunction with research in Chemical physics and Nanotechnology. The research on Density functional theory tackled can also make contributions to studies in the areas of Adsorption, Ab initio, Density of states and Thermodynamics.
The majority of Thermodynamics studies presented zero in on Bulk modulus. Computational Materials Science explores topics in Finite element method which can be helpful for research in disciplines like Mechanics, Plasticity and Forensic engineering.
The published articles tackle a plethora of topics, such as Composite material, Finite element method, Metallurgy, Condensed matter physics and Mechanics. While work presented in the most cited papers provide substantial information on Finite element method, it also covers topics in Residual stress, Computer simulation and Forensic engineering. Issues in Condensed matter physics were discussed in the published articles, taking into consideration concepts from other disciplines like Crystallography, Density functional theory and Lattice constant.
The journal covers a variety of subjects, including Artificial intelligence, Molecular dynamics, Thermodynamics, Composite material and Condensed matter physics. The studies in Molecular dynamics featured incorporate elements of Amorphous solid, Atom (order theory), Atom, Statistical physics and Monte Carlo method. While Computational Materials Science focused on Thermodynamics, it was also able to explore topics like Electron localization function, Melting point and Density functional theory.
It covers research in Composite material, particularly Polymer nanocomposite and how they are related with concepts in Interphase. Condensed matter physics research featured in the journal incorporates concerns from various other topics such as Hamiltonian (quantum mechanics), Thermoelectric effect, Torus and Tension (geology). Alloy, Mechanics and Microstructure are some topics wherein Phase (matter) research discussed in the journal have an impact.
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 Computational Materials Science (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 Computational Materials Science (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, 30.36% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 7.69% were posted by at least one author from the top 10 institutions publishing in the journal. Another 7.69% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 12.82% of all publications and 71.79% 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.
Joshua A. Anderson;Jens Glaser;Sharon C. Glotzer
(2020)Zheng Xiong;Yuxin Cui;Zhonghao Liu;Yong Zhao
(2020)Dongbo Dai;Tao Xu;Xiao Wei;Guangtai Ding
(2020)Chiho Kim;Rohit Batra;Lihua Chen;Huan Tran
(2021)Haiying Liu;Haiying Liu;Jiucheng Cheng;Hongzhou Dong;Jianguang Feng
(2020)Guanjie Wang;Liyu Peng;Kaiqi Li;Linggang Zhu
(2021)Abhirup Patra;Rohit Batra;Anand Chandrasekaran;Chiho Kim
(2020)Ricardo A. Lebensohn;Anthony D. Rollett
(2020)For those interested in extending their Chemistry studies into healthcare, pursuing an online Pharm D can be a valuable step. This degree prepares students for clinical roles in pharmacy, focusing on medication management and patient care.
Nurses looking to advance their careers may consider the rn to bsn pathway, which allows registered nurses to obtain a Bachelor of Science in Nursing through flexible online programs. This progression enhances clinical expertise and opens doors to leadership roles.
For accelerated options, some students opt for 3 year PharmD programs, designed to fast-track education without compromising quality. These programs are ideal for motivated learners eager to enter the pharmaceutical field sooner.
Career opportunities extend beyond healthcare roles; becoming a pharmaceutical sales representative is another viable path. Understanding the drug rep salary and career pathways helps prospective candidates evaluate this dynamic industry role that blends science knowledge with strong communication skills.
