| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mechanical and Aerospace Engineering | 104 | 118 | 183 | 21 |
| Engineering and Technology | 459 | 93 | 130 | 17 |
The main points discussed in Computers & Fluids deals with Mechanics, Mathematical analysis, Turbulence, Computational fluid dynamics and Classical mechanics. Mechanics study tackled is connected to the field of Geometry. In Computers & Fluids, Navier–Stokes equations and Finite element method are investigated in conjunction with one another to address concerns in Mathematical analysis research.
In the Turbulence research discussed, Large eddy simulation, Reynolds-averaged Navier–Stokes equations, Direct numerical simulation, Turbulence modeling and Turbulence kinetic energy are all tackled. Computers & Fluids focuses on Computational fluid dynamics but the discussions also offer insight into other areas such as Mesh generation, Aerodynamics and Mathematical optimization. The research on Classical mechanics discussed in it draws on the closely related field of Compressible flow.
Reynolds number and Laminar flow are closely related fields of research discussed in the journal. The study on Discretization presented in Computers & Fluids intersects with subjects under the field of Applied mathematics. While it focused on Applied mathematics, it was also able to explore topics like Numerical analysis, Solver and Finite volume method.
Mechanics, Computational fluid dynamics, Classical mechanics, Mathematical analysis and Reynolds number are the main subjects of interest in the journal papers. The journal articles connects the study in Mechanics with the closely related areas of Geometry. The works on Mathematical analysis tackled in the journal publications bring together disciplines like Navier–Stokes equations and Finite element method.
The main research concerns discussed in Computers & Fluids are Mechanics, Applied mathematics, Turbulence, Flow (mathematics) and Compressibility. It focuses on Mechanics research which is adjacent to topics in Boundary value problem. The journal explores topics in Applied mathematics which can be helpful for research in disciplines like Nonlinear system, Discretization, Numerical analysis, Solver and Finite volume method.
The research on Turbulence tackled can also make contributions to studies in the areas of Jet (fluid), Grid and Mach number. The work on Flow (mathematics) tackled in Computers & Fluids brings together disciplines like Reynolds-averaged Navier–Stokes equations, Inviscid flow, Lift (force) and Benchmark (computing). The studies in Reynolds number featured incorporate elements of Computational fluid dynamics and Laminar flow.
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 Computers & Fluids (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 Computers & Fluids (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, 7.75% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 11.34% were posted by at least one author from the top 10 institutions publishing in the journal. Another 6.30% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 18.91% of all publications and 63.45% 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.
M. Antuono;P.N. Sun;P.N. Sun;S. Marrone;A. Colagrossi
(2021)Roberto Molinaro;Joel-Steven Singh;Sotiris Catsoulis;Chidambaram Narayanan
(2021)Friedemann Kemm;Elena Gaburro;Ferdinand Thein;Michael Dumbser
(2020)T. Arrufat;M. Crialesi-Esposito;D. Fuster;Y. Ling
(2021)Songzhe Xu;Boshun Gao;Alec Lofquist;Milinda Fernando
(2021)Panagiotis Tsoutsanis;Michael Dumbser
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