| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Chemistry | 649 | 50 | 62 | 11 |
Molecular Simulation is mainly concerned with subjects like Molecular dynamics, Thermodynamics, Computational chemistry, Chemical physics and Molecule. It explores topics in Molecular dynamics which can be helpful for research in disciplines like Nanotechnology, Crystallography, Physical chemistry, Statistical physics and Chemical engineering. The Nanotechnology study tackling the subject of Carbon nanotube is the focus of Molecular Simulation.
Discussions in it are anchored in the subject of Thermodynamics and the similar topic of Monte Carlo method. As a part of it, discussions in Monte Carlo method involve topics like Dynamic Monte Carlo method, Monte Carlo molecular modeling and Canonical ensemble. The main emphasis of Molecular Simulation is the subject of Computational chemistry, focusing on Density functional theory.
Molecule study tackled is connected to the field of Adsorption. Most of the Adsorption studies addressed also intersect with Inorganic chemistry.
The most cited articles focus largely on the fields of Molecular dynamics, Thermodynamics, Statistical physics, Computational chemistry and Monte Carlo method. The journal papers tackle studies in Molecule and the interrelated subject of Diffusion to gain insights into Molecular dynamics. The most cited publications address concerns in Computational chemistry which are intertwined with other disciplines, such as Polymer and Hydrogen bond.
Molecular Simulation focuses largely on the fields of Molecular dynamics, Chemical engineering, Chemical physics, Composite material and Density functional theory. Thermal conductivity, Work (thermodynamics) and Polymer are some topics wherein Molecular dynamics research discussed in it have an impact. Thermal conductivity research presented is mostly focused on the subject of Thermal transport.
The journal addresses concerns in Chemical engineering which are intertwined with other disciplines, such as Scientific method and Adsorption. While Molecular Simulation focused on Adsorption, it was also able to explore topics like Surface (mathematics) and Graphene. Molecular Simulation links adjacent topics like Chemical physics with Molecule.
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 Molecular Simulation (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 Molecular Simulation (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, 4.49% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 11.41% were posted by at least one author from the top 10 institutions publishing in the journal. Another 5.37% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 8.72% of all publications and 74.50% 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.
Alper T. Celebi;Seyed Hossein Jamali;André Bardow;Thijs J. H. Vlugt
(2021)A. Rahbari;R. Hens;M. Ramdin;O. A. Moultos
(2021)Andrey V. Brukhno;James Grant;Tom L. Underwood;Kevin Stratford
(2021)Dilara Özbakır Işın;Nihat Karakuş;Hassane Lgaz;Savaş Kaya
(2020)Hamzeh Kraus;Julia Rybka;Alexandra Höltzel;Nicole Trebel
(2021)Shaoyang Zhang;Yu Liu;Honglai Liu
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