1759-0876
Published by: Wiley
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Chemistry | 185 | 98 | 106 | 37 |
The journal generally zeroes in on subjects such as Nanotechnology, Density functional theory, Statistical physics, Chemical physics and Computational chemistry. The Nanotechnology study featured in Wiley Interdisciplinary Reviews: Computational Molecular Science draws connections with the study of Molecular dynamics. It addresses concerns in Density functional theory which are intertwined with other disciplines, such as Quantum chemistry, Ab initio and Electronic structure.
The research on Statistical physics featured in the journal combines topics in other fields like Quantum and Quantum mechanics. Wiley Interdisciplinary Reviews: Computational Molecular Science dives deep in exploring the relationship between the study of Computational chemistry and Molecule.
The most cited papers investigate studies in Statistical physics, Density functional theory, Quantum mechanics, Electronic structure and Computational chemistry. The Density functional theory research presented in the published articles focuses mostly on van der Waals force and, on occasion, topics in Orbital-free density functional theory. The studies on Electronic structure discussed at the most cited papers can also contribute to research in the domains of Molecular dynamics, Computation, Ab initio, Coupled cluster and Gaussian.
The foci of the journal are Density functional theory, Chemical physics, Molecular dynamics, Nanotechnology and Statistical physics. While work presented in Wiley Interdisciplinary Reviews: Computational Molecular Science provided substantial information on Density functional theory, it also covered topics in Molecular physics, Quantum chemistry and Catalysis. While Chemical physics is the focus of Wiley Interdisciplinary Reviews: Computational Molecular Science, it also provided insights into the studies of Mechanism (sociology), Molecule and Dynamics (mechanics).
Molecular dynamics study tackled is connected to the field of Biophysics. Many of the studies tackled connect Statistical physics with a similar field of study like Heterogeneous catalysis.
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 Wiley Interdisciplinary Reviews: Computational Molecular 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 Wiley Interdisciplinary Reviews: Computational Molecular 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 2021 edition, 1.23% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 15.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 6.25% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 23.75% of all publications and 55.00% 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.
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(2022)Christoph Bannwarth;Eike Caldeweyher;Sebastian Ehlert;Andreas Hansen
(2021)Unknown
(2022)Unknown
(2022)Unknown
(2022)Chao Shen;Junjie Ding;Zhe Wang;Dongsheng Cao
(2020)Stefan Seritan;Stefan Seritan;Christoph Bannwarth;Christoph Bannwarth;Bryan S. Fales;Bryan S. Fales;Edward G. Hohenstein;Edward G. Hohenstein
(2021)Thijs Stuyver;Thijs Stuyver;David Danovich;Jyothish Joy;Sason Shaik
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