1815-2406
Published by: Cambridge University Press
https://www.cambridge.org/core/journals/communications-in-computational-physics
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 123 | 47 | 78 | 16 |
| Mechanical and Aerospace Engineering | 288 | 13 | 24 | 9 |
The main points discussed in Communications in Computational Physics deals with Mathematical analysis, Applied mathematics, Mechanics, Discretization and Finite element method. The research on Mathematical analysis featured in the journal combines topics in other fields like Nonlinear system, Boundary (topology) and Discontinuous Galerkin method. Topics in Applied mathematics were tackled in line with various other fields like Polygon mesh, Mathematical optimization and Finite volume method.
The Mechanics study tackled is a key component of adjacent topics in the area of Classical mechanics. Research on Lattice Boltzmann methods addressed in the journal frequently intersections with the field of Statistical physics.
The most cited publications primarily focus on research topics in Mathematical analysis, Applied mathematics, Mechanics, Discretization and Finite volume method. While work presented in the journal papers provide substantial information on Mathematical analysis, it also covers topics in Compressibility, Compressible flow and Discontinuous Galerkin method. While Applied mathematics is the focus of the most cited papers, it also provides insights into the studies of Polygon mesh, Finite element method, Galerkin method, Nonlinear system and Mathematical optimization.
The aim of the journal is to expand the discussion of research in Mathematical analysis, Applied mathematics, Mechanics, Finite element method and Scheme (mathematics). Mathematical analysis research featured in it incorporates concerns from various other topics such as Scattering, Polygon mesh, Compressibility and Finite volume method. Finite volume method study tackled is connected to the field of Nonlinear system.
The journal addresses concerns in Applied mathematics which are intertwined with other disciplines, such as Discretization, Solver, Order (business) and Galerkin method. Lattice Boltzmann methods is a primary topic of Mechanics research in Communications in Computational Physics. The journal focuses on Scheme (mathematics) research which is adjacent to topics in Eigenvalues and eigenvectors.
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 Communications in Computational Physics (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 Communications in Computational Physics (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, 95.56% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 0.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 0.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 25.00% of all publications and 75.00% 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.
Lu Lu;Yeonjong Shin;Yanhui Su;George Em Karniadakis
(2020)Yeonjong Shin;Jerome Darbon;George Em Karniadakis
(2020)Zuowei Shen
(2020)Hasan Sajjadi
(2021)Jinchao Xu
(2020)Weinan E
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