| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mechanical and Aerospace Engineering | 266 | 22 | 30 | 10 |
| Engineering and Technology | 1332 | 7 | 7 | 4 |
International Journal of Computational Fluid Dynamics was organized to reinforce research efforts on Mechanics, Mathematical analysis, Turbulence, Finite element method and Classical mechanics. As a part of it, discussions in Mechanics involve topics like Flow (mathematics), Reynolds number, Compressibility, Computational fluid dynamics and Flow (psychology). The Reynolds number works featured in it incorporate elements from Geometry and Laminar flow.
In addition to Computational fluid dynamics research, it aims to explore topics under Applied mathematics, Mathematical optimization and Computational science. The studies in Mathematical optimization featured incorporate elements of Grid and Polygon mesh. The journal explores topics in Mathematical analysis which can be helpful for research in disciplines like Navier–Stokes equations and Finite volume method.
The study on Turbulence presented is investigated in conjunction with research in Statistical physics. Topics like Mixed finite element method and Galerkin method are tackled as part of the discussions on Finite element method. It facilitated presentations on K-epsilon turbulence model research, particularly K-omega turbulence model and Reynolds stress equation model.
The published papers mainly deal with areas of study such as Mechanics, Computational fluid dynamics, Turbulence, Mathematical analysis and Classical mechanics. The study on Mechanics presented in the journal publications is investigated in conjunction with research in Meteorology. The published articles explore issues in Mathematical analysis which can be linked to other research areas like Navier–Stokes equations, Grid, Finite element method and Finite volume method.
International Journal of Computational Fluid Dynamics is mainly concerned with subjects like Mechanics, Turbulence, Smoothed-particle hydrodynamics, Hypersonic speed and Computational fluid dynamics. Mechanics research presented in the journal encompasses a variety of subjects, including Boundary value problem and Dynamics (mechanics). The Turbulence research dealing mostly with Large eddy simulation is the focus of the journal.
In International Journal of Computational Fluid Dynamics, Flood myth, Shallow water equations, Statistical physics and Finite volume method are investigated in conjunction with one another to address concerns in Smoothed-particle hydrodynamics research. The work on Computational fluid dynamics tackled in the journal brings together disciplines like Term (time), Debye sheath, Immersed boundary method and Hypersonic flight. Concepts in Cylinder, as well as related topics in Compressibility, are covered in the Flow (mathematics) research presented in the journal.
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 International Journal of Computational Fluid Dynamics (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 International Journal of Computational Fluid Dynamics (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, 3.33% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 17.24% were posted by at least one author from the top 10 institutions publishing in the journal. Another 3.45% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 17.24% of all publications and 62.07% 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.
Changhong Mou;Honghu Liu;David R. Wells;Traian Iliescu
(2020)Andreas Lintermann;Andreas Lintermann;Matthias Meinke;Wolfgang Schröder
(2020)Paul W. Cleary;Simon M. Harrison;Matt D. Sinnott;Gerald G. Pereira
(2021)Fengxiang Zhao;Xing Ji;Wei Shyy;Kun Xu
(2020)Clifford K. Ho
(2021)Xiangda Cui;Wagdi G. Habashi;Vincent Casseau
(2020)Andrea Amicarelli;Sauro Manenti;Marco Paggi
(2021)Xiangda Cui;Wagdi G. Habashi;Vincent Casseau
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