| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mechanical and Aerospace Engineering | 145 | 41 | 53 | 18 |
| Engineering and Technology | 285 | 41 | 71 | 26 |
Engineering Applications of Computational Fluid Mechanics mainly deals with areas of study such as Mechanics, Computational fluid dynamics, Flow (psychology), Turbulence and Mechanical engineering. Engineering Applications of Computational Fluid Mechanics focuses on Mechanics but the discussions also offer insight into other areas such as Simulation and Classical mechanics. While it focused on Computational fluid dynamics, it was also able to explore topics like Marine engineering, Structural engineering, Aerodynamics and Heat transfer.
Flow (psychology) research discussed connects with the study of Geotechnical engineering. K-epsilon turbulence model, Turbulence modeling, Reynolds-averaged Navier–Stokes equations, Turbulence kinetic energy and Large eddy simulation are among the concentrations of Turbulence that garnered much attention in the journal. Engineering Applications of Computational Fluid Mechanics links adjacent topics like Reynolds number with Laminar flow.
The journal articles generally zeroe in on subjects such as Mechanics, Computational fluid dynamics, Turbulence, Flow (psychology) and Artificial neural network. The published papers feature Mechanics research that overlaps with concepts in Geotechnical engineering. While work presented in the most cited papers provide substantial information on Computational fluid dynamics, it also covers topics in Marine engineering, Meteorology, Simulation and Fluid dynamics.
The concepts of Mechanics, Computational fluid dynamics, Flow (psychology), Marine engineering and Artificial intelligence are tackled in Engineering Applications of Computational Fluid Mechanics. In addition to Mechanics research, Engineering Applications of Computational Fluid Mechanics aims to explore topics under Inlet and Nozzle. Engineering Applications of Computational Fluid Mechanics addresses concerns in Computational fluid dynamics which are intertwined with other disciplines, such as Genetic algorithm, Heat transfer and Work (thermodynamics).
Flow (psychology) research presented in Engineering Applications of Computational Fluid Mechanics encompasses a variety of subjects, including Transient (oscillation) and Petroleum engineering. Hull are all disciplines of Marine engineering that connect with topics in Hybrid model. Discussions in it are anchored in the subject of Turbulence and the similar topic of Forced convection.
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 Engineering Applications of Computational Fluid Mechanics (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 Engineering Applications of Computational Fluid Mechanics (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, 6.90% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 29.63% were posted by at least one author from the top 10 institutions publishing in the journal. Another 6.17% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 19.75% of all publications and 44.44% 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.
Mohammad Hossein Ahmadi;Alireza Baghban;Milad Sadeghzadeh;Mohammad Zamen
(2020)Rajab Homsi;Mohammed Sanusi Shiru;Shamsuddin Shahid;Tarmizi Ismail
(2020)Shahaboddin Shamshirband;Amir Mosavi;Timon Rabczuk;Narjes Nabipour
(2020)Haitham Abdulmohsin Afan;Ahmedbahaaaldin Ibrahem Ahmed Osman;Yusuf Essam;Ali Najah Ahmed
(2021)Anurag Malik;Anil Kumar;Sungwon Kim;Mahsa H. Kashani
(2020)Ellysia Jumin;Nuratiah Zaini;Ali Najah Ahmed;Samsuri Abdullah
(2020)Exploring degrees related to Mechanical and Aerospace Engineering can open diverse career paths. For those interested in advancing quickly, accelerated degree programs offer a fast-track option to earn credentials and enter the workforce sooner. These programs are designed to reduce the overall study time while maintaining academic rigor.
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When considering major choices, it is crucial to note that some fields rank among the most profitable college majors, offering high earning potential and career stability. Mechanical and Aerospace Engineering are often included in these top-paying categories, making them attractive options for ambitious students.
While technical skills dominate, interdisciplinary pathways like healthcare are also evolving. For example, online psych np programs reflect the growing trend of online specialized degrees, highlighting how diverse and accessible education has become across fields.
