| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mechanical and Aerospace Engineering | 253 | 55 | 83 | 10 |
| Mathematics | 312 | 23 | 49 | 9 |
| Engineering and Technology | 686 | 44 | 77 | 12 |
The primary areas of discussion in the journal are Mechanics, Computational fluid dynamics, Mathematical analysis, Applied mathematics and Finite element method. International Journal for Numerical Methods in Fluids focuses on Mechanics as well as the interrelated topic of Classical mechanics. Classical mechanics research featured in International Journal for Numerical Methods in Fluids incorporates concerns from various other topics such as Compressible flow and Vorticity.
While work presented in International Journal for Numerical Methods in Fluids provided substantial information on Computational fluid dynamics, it also covered topics in Geometry, Mesh generation, Navier–Stokes equations, Algorithm and Finite volume method. The concepts on Geometry presented in International Journal for Numerical Methods in Fluids can also apply to other research fields, including Free surface, Pipe flow and Laminar flow. Mesh generation research presented in the journal encompasses a variety of subjects, including Grid and Polygon mesh.
Many of the studies tackled connect Mathematical analysis with a similar field of study like Boundary (topology). In addition to Applied mathematics research, it aims to explore topics under Numerical stability, Multigrid method, Mathematical optimization, Discretization and Calculus. While International Journal for Numerical Methods in Fluids focused on Finite element method, it was also able to explore topics like Incompressible flow and Computer simulation.
The journal articles are organized to address concerns in the fields of Computational fluid dynamics, Mechanics, Finite element method, Mathematical analysis and Applied mathematics. The journal publications explore issues in Computational fluid dynamics which can be linked to other research areas like Geometry, Mesh generation, Discretization, Navier–Stokes equations and Finite volume method. The Mechanics research tackled in the most cited articles is interrelated with Classical mechanics which concerns subjects like Compressibility, Compressible flow and Fluid dynamics.
The journal investigates areas of study like Mechanics, Applied mathematics, Mathematical analysis, Compressibility and Finite volume method. Free surface, Flow (mathematics), Turbulence, Lattice Boltzmann methods and Incompressible flow are among the concentrations of Mechanics that garnered much attention in International Journal for Numerical Methods in Fluids. The journal focuses on Applied mathematics but the discussions also offer insight into other areas such as Scheme (mathematics), Navier–Stokes equations, Conservation law and Discontinuous Galerkin method.
International Journal for Numerical Methods in Fluids explores topics in Mathematical analysis which can be helpful for research in disciplines like Parallel algorithm, Polygon mesh, Finite element method and Nonlinear system. It explores research in Finite element method and the adjacent study of Non-Newtonian fluid. International Journal for Numerical Methods in Fluids addresses concerns in Finite volume method which are intertwined with other disciplines, such as Discretization, Finite difference and Partial differential equation.
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 for Numerical Methods in 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 International Journal for Numerical Methods in 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, 4.22% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 6.92% were posted by at least one author from the top 10 institutions publishing in the journal. Another 5.66% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 13.84% of all publications and 73.58% 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.
Anum Shafiq;Andaç Batur Çolak;Tabassum Naz Sindhu
(2021)Unknown
(2023)Unknown
(2022)Ehsan Kazemi;Simon Tait;Songdong Shao
(2020)Zhen Chen;Chang Shu
(2020)Arash Hamzehloo;David J. Lusher;Sylvain Laizet;Neil D. Sandham
(2021)Andrew D. Kercher;Andrew Corrigan;David A. Kessler
(2021)Guangtao Duan;Takuya Matsunaga;Akifumi Yamaji;Seiichi Koshizuka
(2021)Shady E. Ahmed;Omer San;Diana A. Bistrian;Ionel M. Navon
(2020)Richard Meller;Fabian Schlegel;Dirk Lucas
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