| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mechanical and Aerospace Engineering | 178 | 38 | 59 | 15 |
| Engineering and Technology | 1110 | 14 | 16 | 6 |
Theoretical and Computational Fluid Dynamics explores disciplines such as Mechanics, Classical mechanics, Turbulence, Reynolds number and Vortex. Boundary layer, Flow (mathematics), Instability, Vorticity and Mach number are some of the study areas of Mechanics discussed. The majority of Boundary layer studies in it are focused on the subject of Boundary layer thickness.
The presented research on Flow (mathematics) deals specifically with Mathematical analysis but it also addresses topics in Nonlinear system. It features Mach number research that overlaps with concepts in Compressibility. It features works in Classical mechanics, more specifically Inviscid flow and Shear flow, and explores their relation to disciplines like Computational Science and Engineering.
Research on Turbulence addressed in the journal frequently intersections with the field of Statistical physics. Theoretical and Computational Fluid Dynamics explores topics in Reynolds number which can be helpful for research in disciplines like Wake and Laminar flow. Many of the studies tackled connect Vortex with a similar field of study like Vortex shedding.
The journal papers investigate studies in Mechanics, Turbulence, Classical mechanics, Boundary layer and Reynolds number. The published papers explore topics in Turbulence which can be helpful for research in disciplines like Statistical physics and Mathematical analysis. While work presented in the most cited publications provide substantial information on Classical mechanics, it also covers topics in Computational fluid dynamics, Laminar flow, Instability, Turbulence kinetic energy and Computation.
Mechanics, Turbulence, Reynolds number, Instability and Flow (psychology) are among the topics commonly tackled in Theoretical and Computational Fluid Dynamics. Mechanics research discussed connects with the study of Nonlinear system. Direct numerical simulation is a focus of the Turbulence works in the journal.
In Theoretical and Computational Fluid Dynamics, Amplitude, Mathematical analysis, Regularization (physics) and Linear stability are investigated in conjunction with one another to address concerns in Reynolds number research. Theoretical and Computational Fluid Dynamics explores issues in Instability which can be linked to other research areas like Viscosity, Mach number, Laminar flow and Stability (probability). The study of Turbulence modeling and how it intertwines with concepts under Reynolds-averaged Navier–Stokes equations were explored in the presented Boundary layer research.
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 Theoretical and 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 Theoretical and 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, 4.44% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 16.28% were posted by at least one author from the top 10 institutions publishing in the journal. Another 6.98% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 11.63% of all publications and 65.12% 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.
Kai Fukami;Koji Fukagata;Kunihiko Taira
(2020)Kazuto Hasegawa;Kazuto Hasegawa;Kai Fukami;Takaaki Murata;Koji Fukagata
(2020)Unknown
(2023)Masaki Morimoto;Kai Fukami;Kai Fukami;Kai Zhang;Aditya G. Nair
(2021)Steven L. Brunton;Maziar S. Hemati;Kunihiko Taira
(2020)Katharina Bieker;Sebastian Peitz;Steven L. Brunton;J. Nathan Kutz
(2020)Ariana Mendible;Steven L. Brunton;Aleksandr Y. Aravkin;Wes Lowrie
(2020)S. Balachandar;W. C. Moore;G. Akiki;G. Akiki;K. Liu
(2020)Ali Uzun;Mujeeb R. Malik
(2021)Ben Stevens;Tim Colonius
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