| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Chemistry | 228 | 297 | 475 | 31 |
The discussions in the journal mainly cover the fields of Computational chemistry, Molecule, Molecular dynamics, Ab initio and Density functional theory. The journal addresses concerns in Computational chemistry which are intertwined with other disciplines, such as Chemical physics, Molecular physics and Thermodynamics. Most of the works presented in Journal of Computational Chemistry deals with Molecule but it intersects with the subject of Crystallography.
The research on Molecular dynamics featured in the journal combines topics in other fields like Solvation and Statistical physics. The work on Ab initio tackled in the journal brings together disciplines like Ab initio quantum chemistry methods and Atomic physics. Excited state is the primary subject of Atomic physics works presented in it.
The most cited papers cover a variety of subjects, including Computational chemistry, Molecular dynamics, Ab initio, Molecule and Force field (chemistry). The Computational chemistry research tackled in the most cited publications is interrelated with Thermodynamics which concerns subjects like Physical chemistry. Issues in Molecular dynamics were discussed in the journal papers, taking into consideration concepts from other disciplines like Statistical physics and Computational science.
Journal of Computational Chemistry mainly deals with areas of study such as Density functional theory, Molecular dynamics, Artificial intelligence, Algorithm and Molecular physics. The study on Density functional theory presented is investigated in conjunction with research in Ab initio. It holds forums on Molecular dynamics that merges themes from other disciplines such as Chemical physics, Statistical physics and Molecule.
Artificial intelligence research presented in it encompasses a variety of subjects, including Machine learning, Computer vision and Natural language processing. Journal of Computational Chemistry explores issues in Molecular physics which can be linked to other research areas like Excited state and Ground state.
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 Journal of Computational Chemistry (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 Journal of Computational Chemistry (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, 31.74% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 4.94% were posted by at least one author from the top 10 institutions publishing in the journal. Another 6.17% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 10.29% of all publications and 78.60% 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.
Ryky Nelson;Christina Ertural;Janine George;Volker L. Deringer
(2020)Julian D. Rolfes;Frank Neese;Dimitrios A. Pantazis
(2020)Unknown
(2022)Miquel Garcia-Ratés;Frank Neese
(2020)Zhen Tang;Yanlin Song;Shu Zhang;Wei Wang
(2021)Anmol Kumar;Ozge Yoluk;Alexander D. MacKerell
(2020)Jianfu Chen;Menglei Jia;Peijun Hu;Peijun Hu;Haifeng Wang
(2021)Amir Karton;Peter R. Spackman
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National Institute for Interdisciplinary Science and Technology
Publications: 4
